This document discusses frequency domain analysis and Bode plots. It introduces key concepts in frequency domain analysis including frequency response, transfer function, resonant frequency, resonant peak, cutoff frequency, bandwidth, gain margin, and phase margin. It explains that a Bode plot consists of magnitude and phase plots which show how the gain and phase of a system change over frequency. The document provides instructions for sketching a Bode plot from a transfer function including identifying poles, zeros and gains. It includes examples of Bode plots for two sample transfer functions.
This document discusses frequency domain analysis and creating Bode plots. Frequency domain analysis examines a system's frequency response by using sinusoidal inputs rather than impulse inputs used in time domain analysis. A Bode plot graphs the magnitude and phase of a system's frequency response on logarithmic and linear scales. It can be used to determine stability margins like gain margin and phase margin. The document provides steps for sketching a Bode plot from a transfer function including identifying poles, zeros and gain. Key aspects of a Bode plot like bandwidth, resonant frequency and cut-off frequency are also defined. Examples of Bode plots for two transfer functions are included.
Mr. C.S.Satheesh, M.E.,
Frequency response analysis
Frequency Domain Specifications
Resonant Peak Mr
Resonant Frequency ωr
Bandwidth ωh
Cut – off Rate
Gain margin Kg
Phase margin γ
POLAR PLOT
Bode PLOT
The document discusses frequency response and Bode plots. It begins by defining the sinusoidal transfer function and frequency response. The frequency response consists of the magnitude and phase functions of the transfer function. Bode plots graphically display the magnitude and phase functions versus frequency on logarithmic scales. The document then provides procedures for constructing Bode plots, including determining individual component responses, combining them, and reading off gain and phase margins. Examples are given to demonstrate the procedures.
The document discusses frequency response and system analysis. It defines frequency response as the steady state response of a system to a sinusoidal input signal. For a linear time-invariant system, the input and output signals will have the same frequency but different amplitudes and phases. Bode plots are used to represent the magnitude and phase of a system's frequency response on logarithmic scales. Key aspects like gain crossover frequency, phase crossover frequency, gain margin, and phase margin are used to determine the stability of a control system from its Bode plots.
Frequency response plots show how a linear system responds to signals of different frequencies. They relate the input and output signals in the frequency domain. For continuous systems, the transfer function relates the Laplace transforms of the input and output. For discrete systems, it relates the Z-transforms. Frequency response plots provide insight into a system's frequency-dependent gains, resonances, and phase shifts. Common types of frequency response plots include Bode plots, which show magnitude and phase response on logarithmic frequency axes, and Nyquist plots, which show the transfer function in the complex plane. Stability can be assessed from these plots by examining properties like phase and gain margin.
Bode plots provide a graphical representation of a system's frequency response by plotting magnitude and phase response against frequency. They are useful engineering tools for analyzing and designing control systems. Key features like gain and phase margin, bandwidth, resonance frequencies, and stability can be determined from a system's Bode plots. An example Bode plot is shown for a simple low-pass filter.
Bode plots provide a graphical representation of a system's frequency response by plotting magnitude and phase response against frequency. They are useful engineering tools for analyzing and designing control systems. The key aspects shown are magnitude response in dB, phase response in degrees, corner frequencies, bandwidth, gain margin, phase margin, and stability. An example Bode plot is given for a simple low-pass filter.
This presentation explains about the introduction of Bode Plot, advantages of bode plot and also steps to draw Bode plot (Magnitude plot and phase plot). It explains basic or key factors used for drawing Bode plot. It also explains how to determine Magnitude, phase and slope for basic factors. It also explains how to determine stability by using Bode Plot and also how to determine Gain Crossover Frequency and Phase Crossover Frequency, Gain Margin and Phase Margin. It also explains drawing Bode plot with an example and also determines stability by using Bode Plot and also determines Gain Crossover Frequency and Phase Crossover Frequency, Gain Margin and Phase Margin.
Jitter measurements are commonly done taking small snapshots in time, yet systems often experience jitter from sources that occur over relatively long time intervals, which may not be accounted for using short time interval measurements methods.
In this webinar we will present the application of a real time, digital clock recovery and trigger system to the measurement of jitter on clock and data signals. Details of the measurement methodology will be provided along with measurement examples on both clock and data signals.
You Will Learn:
- What is Jitter
- Different types of Jitter
- Jitter measurement techniques
- Benefits of Jitter analysis using real-time DDC techniques
Chapter 7 Controls Systems Analysis and Design by the frequency response analysis . From the book (Ogata Modern Control Engineering 5th).
7-1 introduction.
7-2 Bode diagrams.
This document discusses frequency response analysis using Bode plots. It defines frequency response as the steady state response of a system to a sinusoidal input signal. It describes different types of frequency response plots, including Bode plots which show magnitude and phase of the open-loop system as a function of frequency. It discusses how to construct Bode plots from a system's transfer function by calculating the magnitude in decibels and phase in degrees over different frequencies. It also describes two methods for drawing Bode plots - either analyzing the limits of the open-loop transfer function GH, or constructing the plots piecewise from the different elements in the transfer function.
1. The document discusses frequency response analysis techniques, which analyze how a system responds to input signals of varying frequencies.
2. It describes two common frequency response techniques - Bode plots, which show magnitude and phase response as functions of frequency, and Nyquist plots, which plot magnitude against phase on a polar graph.
3. The techniques provide insights into system stability and dynamics and are useful for control system design, but their use requires complex derivations and they do not always directly indicate transient response characteristics.
Bode plot is used to analyze the frequency response of a system by plotting magnitude and phase versus frequency. It can approximate straight lines to sketch magnitude without exact computation. The bi-linear transformation converts the digital transfer function from the z-plane to the w-plane to incorporate this feature and construct Bode plots. Gain and phase margins are stability measures defined using gain and phase crossover frequencies. Controller design uses Bode plots since phase/gain margins and bandwidth are visible to improve responses. Phase lead, lag, and lag-lead compensators are used to respectively improve stability, steady-state accuracy, or both.
This document provides an introduction to seismic interpretation. It begins with an overview of seismic acquisition methods both onshore and offshore. It then discusses key concepts in seismic data such as common depth points, floating datum, two-way time, and the relationship between time and depth. The document also covers seismic resolution, reflection coefficients, and examples of calculating tuning thickness. Finally, it discusses important steps for seismic interpretation including checking the line scale and orientation and interpreting major reflectors and geometries.
This document discusses various aspects of synchronization in digital communication systems. It covers receiver synchronization techniques like frequency and phase synchronization using phase-locked loops. It also discusses symbol synchronization, both data-aided and non-data-aided approaches. Network synchronization techniques like open-loop and closed-loop transmitter synchronization are introduced as well. The document provides detailed explanations of concepts like acquisition, tracking performance in noise, and steady-state tracking characteristics of phase-locked loops.
The document discusses techniques for designing discrete-time infinite impulse response (IIR) filters from continuous-time filter specifications. It covers the impulse invariance method, matched z-transform method, and bilinear transformation method. The impulse invariance method samples the continuous-time impulse response to obtain the discrete-time impulse response. The bilinear transformation maps the entire s-plane to the unit circle in the z-plane to avoid aliasing. Examples are provided to illustrate the design process using each method.
The Presentation includes Basics of Non - Uniform Quantization, Companding and different Pulse Code Modulation Techniques. Comparison of Various PCM techniques is done considering various Parameters in Communication Systems.
This lecture covers stability analysis techniques including Nyquist plots, Bode plots, and stability margins. Key points discussed include:
1) Nyquist plots can be used to determine stability by checking for encirclements of the critical point -1. Gain scaling affects the Nyquist plot.
2) Bode plots allow calculating gain and phase margins, which indicate how close a system is to instability.
3) Stability margins provide a measure of how far a system is from the threshold of instability, beyond just gain and phase margins.
4) Non-minimum phase systems with right half plane poles require special consideration in stability analysis.
This document discusses synthetic aperture radar (SAR) and pulse compression techniques. It explains that pulse compression allows radar systems to achieve fine range resolution using long duration, low power pulses by modulating the pulses with linear frequency modulation (chirp) and then correlating the received signal with a reference chirp. This improves the signal to noise ratio compared to using short pulses directly. The document covers topics such as range resolution, pulse compression, chirp waveforms, stretch processing, correlation processing, window functions, and how pulse compression affects signal to noise ratio and blind range.
This document discusses phase lead and lag compensators for digital control systems. It covers:
1. Designing a discrete-time phase lead/lag compensator by mapping the z-plane to the w-plane using bilinear transformation.
2. Defining phase lead and lag compensators based on the positions of poles and zeros in the w-domain transfer function.
3. A design approach using frequency response methods to meet a phase margin specification by determining the parameters of a first-order digital phase lead or lag compensator.
4. Examples of designing phase lead and lag compensators for different plant transfer functions to meet specifications on phase margin and steady state error.
This document discusses several topics related to optical fiber communication systems including:
1. Factors that limit the performance of amplified fiber links such as transmission distance, data rate, and component costs.
2. System requirements including transmission distance, data rate, fiber type, and receiver sensitivities.
3. Key components of fiber optic systems and their specifications including lasers, detectors, and other elements.
4. Performance limiting factors for terrestrial and undersea lightwave systems.
5. Physical phenomena that degrade receiver sensitivity in realistic lightwave systems including modal noise and dispersion broadening.
This document discusses timing considerations for digital electronics systems using standard integrated circuits (ICs). It covers propagation delay, which is the time it takes for a change on an input to propagate to the output. Sequential circuits like flip-flops only change value in response to a clock signal, so their timing parameters are specified relative to the rising or falling edge of the clock. The maximum clock frequency of a sequential circuit can be determined by analyzing the propagation delays of its components and ensuring all timing requirements are met.
A signal is a pattern of variation that carry information.
Signals are represented mathematically as a function of one or more independent variable
basic concept of signals
types of signals
system concepts
GPS signals contain information to identify each satellite, the satellite's location, timing details, and navigation data. Signals are modulated using phase-shift keying onto two carrier frequencies, L1 and L2. The C/A code and encrypted P-code are modulated onto L1, while only the P-code is modulated onto L2. Digital signal processing techniques like filtering, frequency translation, correlation and cross-correlation are used in GPS receivers to acquire and track satellite signals. Anti-spoofing of the P-code led to techniques like squaring, code-aided squaring, cross-correlation and Z-tracking to still allow civilian use of the encrypted signal.
This document outlines a lecture on frequency domain analysis and stability. It discusses polar plots, gain margin and phase margin, and how to analyze stability from a polar plot. Specifically, it explains that a polar plot graphs the magnitude and phase of a system's transfer function. Gain margin is defined as the inverse of the magnitude at phase crossover frequency, while phase margin is defined as 180 degrees plus the phase at gain crossover frequency. Finally, it states that a system is stable if its gain crossover frequency is less than its phase crossover frequency, resulting in positive gain and phase margins.
This presentation explains about the introduction of Bode Plot, advantages of bode plot and also steps to draw Bode plot (Magnitude plot and phase plot). It explains basic or key factors used for drawing Bode plot. It also explains how to determine Magnitude, phase and slope for basic factors. It also explains how to determine stability by using Bode Plot and also how to determine Gain Crossover Frequency and Phase Crossover Frequency, Gain Margin and Phase Margin. It also explains drawing Bode plot with an example and also determines stability by using Bode Plot and also determines Gain Crossover Frequency and Phase Crossover Frequency, Gain Margin and Phase Margin.
Jitter measurements are commonly done taking small snapshots in time, yet systems often experience jitter from sources that occur over relatively long time intervals, which may not be accounted for using short time interval measurements methods.
In this webinar we will present the application of a real time, digital clock recovery and trigger system to the measurement of jitter on clock and data signals. Details of the measurement methodology will be provided along with measurement examples on both clock and data signals.
You Will Learn:
- What is Jitter
- Different types of Jitter
- Jitter measurement techniques
- Benefits of Jitter analysis using real-time DDC techniques
Chapter 7 Controls Systems Analysis and Design by the frequency response analysis . From the book (Ogata Modern Control Engineering 5th).
7-1 introduction.
7-2 Bode diagrams.
This document discusses frequency response analysis using Bode plots. It defines frequency response as the steady state response of a system to a sinusoidal input signal. It describes different types of frequency response plots, including Bode plots which show magnitude and phase of the open-loop system as a function of frequency. It discusses how to construct Bode plots from a system's transfer function by calculating the magnitude in decibels and phase in degrees over different frequencies. It also describes two methods for drawing Bode plots - either analyzing the limits of the open-loop transfer function GH, or constructing the plots piecewise from the different elements in the transfer function.
1. The document discusses frequency response analysis techniques, which analyze how a system responds to input signals of varying frequencies.
2. It describes two common frequency response techniques - Bode plots, which show magnitude and phase response as functions of frequency, and Nyquist plots, which plot magnitude against phase on a polar graph.
3. The techniques provide insights into system stability and dynamics and are useful for control system design, but their use requires complex derivations and they do not always directly indicate transient response characteristics.
Bode plot is used to analyze the frequency response of a system by plotting magnitude and phase versus frequency. It can approximate straight lines to sketch magnitude without exact computation. The bi-linear transformation converts the digital transfer function from the z-plane to the w-plane to incorporate this feature and construct Bode plots. Gain and phase margins are stability measures defined using gain and phase crossover frequencies. Controller design uses Bode plots since phase/gain margins and bandwidth are visible to improve responses. Phase lead, lag, and lag-lead compensators are used to respectively improve stability, steady-state accuracy, or both.
This document provides an introduction to seismic interpretation. It begins with an overview of seismic acquisition methods both onshore and offshore. It then discusses key concepts in seismic data such as common depth points, floating datum, two-way time, and the relationship between time and depth. The document also covers seismic resolution, reflection coefficients, and examples of calculating tuning thickness. Finally, it discusses important steps for seismic interpretation including checking the line scale and orientation and interpreting major reflectors and geometries.
This document discusses various aspects of synchronization in digital communication systems. It covers receiver synchronization techniques like frequency and phase synchronization using phase-locked loops. It also discusses symbol synchronization, both data-aided and non-data-aided approaches. Network synchronization techniques like open-loop and closed-loop transmitter synchronization are introduced as well. The document provides detailed explanations of concepts like acquisition, tracking performance in noise, and steady-state tracking characteristics of phase-locked loops.
The document discusses techniques for designing discrete-time infinite impulse response (IIR) filters from continuous-time filter specifications. It covers the impulse invariance method, matched z-transform method, and bilinear transformation method. The impulse invariance method samples the continuous-time impulse response to obtain the discrete-time impulse response. The bilinear transformation maps the entire s-plane to the unit circle in the z-plane to avoid aliasing. Examples are provided to illustrate the design process using each method.
The Presentation includes Basics of Non - Uniform Quantization, Companding and different Pulse Code Modulation Techniques. Comparison of Various PCM techniques is done considering various Parameters in Communication Systems.
This lecture covers stability analysis techniques including Nyquist plots, Bode plots, and stability margins. Key points discussed include:
1) Nyquist plots can be used to determine stability by checking for encirclements of the critical point -1. Gain scaling affects the Nyquist plot.
2) Bode plots allow calculating gain and phase margins, which indicate how close a system is to instability.
3) Stability margins provide a measure of how far a system is from the threshold of instability, beyond just gain and phase margins.
4) Non-minimum phase systems with right half plane poles require special consideration in stability analysis.
This document discusses synthetic aperture radar (SAR) and pulse compression techniques. It explains that pulse compression allows radar systems to achieve fine range resolution using long duration, low power pulses by modulating the pulses with linear frequency modulation (chirp) and then correlating the received signal with a reference chirp. This improves the signal to noise ratio compared to using short pulses directly. The document covers topics such as range resolution, pulse compression, chirp waveforms, stretch processing, correlation processing, window functions, and how pulse compression affects signal to noise ratio and blind range.
This document discusses phase lead and lag compensators for digital control systems. It covers:
1. Designing a discrete-time phase lead/lag compensator by mapping the z-plane to the w-plane using bilinear transformation.
2. Defining phase lead and lag compensators based on the positions of poles and zeros in the w-domain transfer function.
3. A design approach using frequency response methods to meet a phase margin specification by determining the parameters of a first-order digital phase lead or lag compensator.
4. Examples of designing phase lead and lag compensators for different plant transfer functions to meet specifications on phase margin and steady state error.
This document discusses several topics related to optical fiber communication systems including:
1. Factors that limit the performance of amplified fiber links such as transmission distance, data rate, and component costs.
2. System requirements including transmission distance, data rate, fiber type, and receiver sensitivities.
3. Key components of fiber optic systems and their specifications including lasers, detectors, and other elements.
4. Performance limiting factors for terrestrial and undersea lightwave systems.
5. Physical phenomena that degrade receiver sensitivity in realistic lightwave systems including modal noise and dispersion broadening.
This document discusses timing considerations for digital electronics systems using standard integrated circuits (ICs). It covers propagation delay, which is the time it takes for a change on an input to propagate to the output. Sequential circuits like flip-flops only change value in response to a clock signal, so their timing parameters are specified relative to the rising or falling edge of the clock. The maximum clock frequency of a sequential circuit can be determined by analyzing the propagation delays of its components and ensuring all timing requirements are met.
A signal is a pattern of variation that carry information.
Signals are represented mathematically as a function of one or more independent variable
basic concept of signals
types of signals
system concepts
GPS signals contain information to identify each satellite, the satellite's location, timing details, and navigation data. Signals are modulated using phase-shift keying onto two carrier frequencies, L1 and L2. The C/A code and encrypted P-code are modulated onto L1, while only the P-code is modulated onto L2. Digital signal processing techniques like filtering, frequency translation, correlation and cross-correlation are used in GPS receivers to acquire and track satellite signals. Anti-spoofing of the P-code led to techniques like squaring, code-aided squaring, cross-correlation and Z-tracking to still allow civilian use of the encrypted signal.
This document outlines a lecture on frequency domain analysis and stability. It discusses polar plots, gain margin and phase margin, and how to analyze stability from a polar plot. Specifically, it explains that a polar plot graphs the magnitude and phase of a system's transfer function. Gain margin is defined as the inverse of the magnitude at phase crossover frequency, while phase margin is defined as 180 degrees plus the phase at gain crossover frequency. Finally, it states that a system is stable if its gain crossover frequency is less than its phase crossover frequency, resulting in positive gain and phase margins.
Construction Materials (Paints) in Civil EngineeringLavish Kashyap
This file will provide you information about various types of Paints in Civil Engineering field under Construction Materials.
It will be very useful for all Civil Engineering students who wants to search about various Construction Materials used in Civil Engineering field.
Paint is a vital construction material used for protecting surfaces and enhancing the aesthetic appeal of buildings and structures. It consists of several components, including pigments (for color), binders (to hold the pigment together), solvents or thinners (to adjust viscosity), and additives (to improve properties like durability and drying time).
Paint is one of the material used in Civil Engineering field. It is especially used in final stages of construction project.
Paint plays a dual role in construction: it protects building materials and contributes to the overall appearance and ambiance of a space.
Welcome to MIND UP: a special presentation for Cloudvirga, a Stewart Title company. In this session, we’ll explore how you can “mind up” and unlock your potential by using generative AI chatbot tools at work.
Curious about the rise of AI chatbots? Unsure how to use them-or how to use them safely and effectively in your workplace? You’re not alone. This presentation will walk you through the practical benefits of generative AI chatbots, highlight best practices for safe and responsible use, and show how these tools can help boost your productivity, streamline tasks, and enhance your workday.
Whether you’re new to AI or looking to take your skills to the next level, you’ll find actionable insights to help you and your team make the most of these powerful tools-while keeping security, compliance, and employee well-being front and center.
This research is oriented towards exploring mode-wise corridor level travel-time estimation using Machine learning techniques such as Artificial Neural Network (ANN) and Support Vector Machine (SVM). Authors have considered buses (equipped with in-vehicle GPS) as the probe vehicles and attempted to calculate the travel-time of other modes such as cars along a stretch of arterial roads. The proposed study considers various influential factors that affect travel time such as road geometry, traffic parameters, location information from the GPS receiver and other spatiotemporal parameters that affect the travel-time. The study used a segment modeling method for segregating the data based on identified bus stop locations. A k-fold cross-validation technique was used for determining the optimum model parameters to be used in the ANN and SVM models. The developed models were tested on a study corridor of 59.48 km stretch in Mumbai, India. The data for this study were collected for a period of five days (Monday-Friday) during the morning peak period (from 8.00 am to 11.00 am). Evaluation scores such as MAPE (mean absolute percentage error), MAD (mean absolute deviation) and RMSE (root mean square error) were used for testing the performance of the models. The MAPE values for ANN and SVM models are 11.65 and 10.78 respectively. The developed model is further statistically validated using the Kolmogorov-Smirnov test. The results obtained from these tests proved that the proposed model is statistically valid.
Jacob Murphy Australia - Excels In Optimizing Software ApplicationsJacob Murphy Australia
In the world of technology, Jacob Murphy Australia stands out as a Junior Software Engineer with a passion for innovation. Holding a Bachelor of Science in Computer Science from Columbia University, Jacob's forte lies in software engineering and object-oriented programming. As a Freelance Software Engineer, he excels in optimizing software applications to deliver exceptional user experiences and operational efficiency. Jacob thrives in collaborative environments, actively engaging in design and code reviews to ensure top-notch solutions. With a diverse skill set encompassing Java, C++, Python, and Agile methodologies, Jacob is poised to be a valuable asset to any software development team.
OPTIMIZING DATA INTEROPERABILITY IN AGILE ORGANIZATIONS: INTEGRATING NONAKA’S...ijdmsjournal
Agile methodologies have transformed organizational management by prioritizing team autonomy and
iterative learning cycles. However, these approaches often lack structured mechanisms for knowledge
retention and interoperability, leading to fragmented decision-making, information silos, and strategic
misalignment. This study proposes an alternative approach to knowledge management in Agile
environments by integrating Ikujiro Nonaka and Hirotaka Takeuchi’s theory of knowledge creation—
specifically the concept of Ba, a shared space where knowledge is created and validated—with Jürgen
Habermas’s Theory of Communicative Action, which emphasizes deliberation as the foundation for trust
and legitimacy in organizational decision-making. To operationalize this integration, we propose the
Deliberative Permeability Metric (DPM), a diagnostic tool that evaluates knowledge flow and the
deliberative foundation of organizational decisions, and the Communicative Rationality Cycle (CRC), a
structured feedback model that extends the DPM, ensuring long-term adaptability and data governance.
This model was applied at Livelo, a Brazilian loyalty program company, demonstrating that structured
deliberation improves operational efficiency and reduces knowledge fragmentation. The findings indicate
that institutionalizing deliberative processes strengthens knowledge interoperability, fostering a more
resilient and adaptive approach to data governance in complex organizations.
Deepfake Phishing: A New Frontier in Cyber ThreatsRaviKumar256934
n today’s hyper-connected digital world, cybercriminals continue to develop increasingly sophisticated methods of deception. Among these, deepfake phishing represents a chilling evolution—a combination of artificial intelligence and social engineering used to exploit trust and compromise security.
Deepfake technology, once a novelty used in entertainment, has quickly found its way into the toolkit of cybercriminals. It allows for the creation of hyper-realistic synthetic media, including images, audio, and videos. When paired with phishing strategies, deepfakes can become powerful weapons of fraud, impersonation, and manipulation.
This document explores the phenomenon of deepfake phishing, detailing how it works, why it’s dangerous, and how individuals and organizations can defend themselves against this emerging threat.
この資料は、Roy FieldingのREST論文(第5章)を振り返り、現代Webで誤解されがちなRESTの本質を解説しています。特に、ハイパーメディア制御やアプリケーション状態の管理に関する重要なポイントをわかりやすく紹介しています。
This presentation revisits Chapter 5 of Roy Fielding's PhD dissertation on REST, clarifying concepts that are often misunderstood in modern web design—such as hypermedia controls within representations and the role of hypermedia in managing application state.
2. FREQUENCY RESPONSE ANALYSIS
• It is the steady state response of a system when the input of the
system is sinusoidal signal
In TF G(s), s is replaced by jω G(jω) is called sinusoidal TF
The Transfer function is a complex function of ω. Hence it can
be separated into magnitude and phase function.
3. Advantages of Frequency analysis
• The stability of the closed loop system can be
estimated from the open loop frequency response
• The practical testing of system can be easily
carried with available sinusoidal signal generators
and precise measurement equipments
• The complicated transfer function can be
determined
• Design parameter adjustment of open loop system
is easy
• Extended to non linear system
4. Frequency domain specifications
• Resonant Peak (Mr)
• Resonant Frequency (ωr)
• Bandwidth (ωb)
• Cut-off rate
• Gain margin (Kg)
• Phase margin(γ)
5. Frequency Response Plots
• Bode Plot
• Polar Plot
• Nyquist plot
• Nichols Plot
• M and N circles
• Nichols Chart
6. Resonant Peak (Mr)
• The maximum value of the magnitude of
closed loop transfer function is called resonant
peak. A large resonant peak corresponds to a
large overshoot in transient response.
7. Resonant Frequency (ωr)
• The frequency at which the resonant peak
occurs is called resonant frequency. This is
related to the frequency of oscillation in the
step response and thus it is indicative of the
speed of transient response.
2
1 2
r n
8. Bandwidth (ωb)
• The bandwidth is the range of frequencies for
which the system normalized gain is more than
-3dB
• The frequency at which the gain is -3dB is
called cut-off frequency.
9. Cut-off Rate
• The slope of the log magnitude curve near the
cut off frequency is called cut-off rate.
• The cut-off rate indicates the stability of
system to distinguish the signal from noise
10. Gain Margin (Kg)
• The gain margin is the factor by which the
system gain can be increased to drive it to the
verge of instability.
• It may be defined as the reciprocal of the gain
at the phase cross over frequency (pc). The
phase cross over frequency is the frequency at
which the phase is 180.
1
( )
pc
Kg
G j
11. Phase Margin (γ)
• The phase margin is defined as the amount of
additional phase lag at the gain crossover
frequency (gc) required to bring the system to
the verge of instability.
Phase margin = gc + 180 Where gc = G (j) H (j) at = gc
24. Bode Plot
Calculate the gain in dB for lowest frequency and first corner frequency
Calculate the gain using the below formulae for all other frequency
25. Draw the bode plot for the transfer function and find
gain cross over and phase cross over frequencies
)]
1
1
.
0
)(
4
.
0
1
(
[
10
)
(
s
s
s
s
G
30. Sketch the Bode plot for the following transfer function and
obtain gain margin and phase margin
)]
5
3
(
[
1
)
( 2
s
s
s
s
G
33. Sketch the bode plot and hence find gain cross over frequency,
phase cross over frequency, gain margin and phase margin for
the function
.
)
100
4
)(
2
(
)
3
(
10
)
( 2
s
s
s
s
s
s
G