Modern Control Design With MATLAB and SIMULINK 1st Edition by Ashish Tewari ISBN 978-0471496793 0471496790

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Product details: 

ISBN 10:  0471496790

ISBN 13: 978-0471496793

Author: Ashish Tewari 

Table of contents: 

1. Introduction

   • 1.1 What is Control?

   • 1.2 Open-Loop and Closed-Loop Control Systems

   • 1.3 Other Classifications of Control Systems

   • 1.4 On the Road to Control System Analysis and Design

   • 1.5 MATLAB, SIMULINK, and the Control System Toolbox

   • References

2. Linear Systems and Classical Control

   • 2.1 How Valid is the Assumption of Linearity?

   • 2.2 Singularity Functions

   • 2.3 Frequency Response

   • 2.4 Laplace Transform and the Transfer Function

   • 2.5 Response to Singularity Functions

   • 2.6 Response to Arbitrary Inputs

   • 2.7 Performance

   • 2.8 Stability

   • 2.9 Root-Locus Method

   • 2.10 Nyquist Stability Criterion

   • 2.11 Robustness

   • 2.12 Closed-Loop Compensation Techniques for Single-Input, Single-Output Systems

   • 2.12.1 Proportional-integral-derivative compensation

   • 2.12.2 Lag, lead, and lead-lag compensation

   • 2.13 Multivariable Systems

   • Exercises

   • References

3. State-Space Representation

   • 3.1 The State-Space: Why Do I Need It?

   • 3.2 Linear Transformation of State-Space Representations

   • 3.3 System Characteristics from State-Space Representation

   • 3.4 Special State-Space Representations: The Canonical Forms

   • 3.5 Block Building in Linear, Time-Invariant State-Space

   • Exercises

   • References

4. Solving the State-Equations

   • 4.1 Solution of the Linear Time Invariant State Equations

   • 4.2 Calculation of the State-Transition Matrix

   • 4.3 Understanding the Stability Criteria through the State-Transition Matrix

   • 4.4 Numerical Solution of Linear Time-Invariant State-Equations

   • 4.5 Numerical Solution of Linear Time-Varying State-Equations

   • 4.6 Numerical Solution of Nonlinear State-Equations

   • 4.7 Simulating Control System Response with SIMULINK

   • Exercises

   • References

5. Control System Design in State-Space

   • 5.1 Design: Classical vs. Modern

   • 5.2 Controllability

   • 5.3 Pole-Placement Design Using Full-State Feedback

   • 5.4 Observers, Observability, and Compensators

   • Exercises

   • References

6. Linear Optimal Control

   • 6.1 The Optimal Control Problem

   • 6.1.1 The general optimal control formulation for regulators

   • 6.1.2 Optimal regulator gain matrix and the Riccati equation

   • 6.2 Infinite-Time Linear Optimal Regulator Design

   • 6.3 Optimal Control of Tracking Systems

   • 6.4 Output Weighted Linear Optimal Control

   • 6.5 Terminal Time Weighting: Solving the Matrix Riccati Equation

   • Exercises

   • References

7. Kalman Filters

   • 7.1 Stochastic Systems

   • 7.2 Filtering of Random Signals

   • 7.3 White Noise, and White Noise Filters

   • 7.4 The Kalman Filter

   • 7.5 Optimal (Linear, Quadratic, Gaussian) Compensators

   • 7.6 Robust Multivariable LQG Control: Loop Transfer Recovery

   • Exercises

   • References

Digital Control Systems

• 8.1 What are Digital Systems?

• 8.2 A/D Conversion and the z-Transform

• 8.3 Pulse Transfer Functions of Single-Input, Single-Output Systems

• 8.4 Frequency Response of Single-Input, Single-Output Digital Systems

• 8.5 Stability of Single-Input, Single-Output Digital Systems

• 8.6 Performance of Single-Input, Single-Output Digital Systems

• 8.7 Closed-Loop Compensation Techniques for Single-Input, Single-Output Digital Systems

• 8.8 State-Space Modeling of Multivariable Digital Systems

• 8.9 Solution of Linear Digital State-Equations

• 8.10 Design of Multivariable, Digital Control Systems Using Pole-Placement: Regulators, Observers, and Compensators

• 8.11 Linear Optimal Control of Digital Systems

• 8.12 Stochastic Digital Systems, Digital Kalman Filters, and Optimal Digital Compensators

• Exercises

• References

Advanced Topics in Modern Control

• 9.1 Introduction

• 9.2 H∞ Robust, Optimal Control

• 9.3 Structured Singular Value Synthesis for Robust Control

• 9.4 Time-Optimal Control with Pre-shaped Inputs

• 9.5 Output-Rate Weighted Linear Optimal Control

• 9.6 Nonlinear Optimal Control

• Exercises

• References

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Tags: Ashish Tewari, Modern Control, Design With MATLAB