Chapter 1. Introduction to Control Systems -- 1.1 Introduction -- 1.2 Control Systems -- 1.3 Control System Configurations -- 1.4 Control System Terminology -- 1.5 Control System Classes -- 1.6 Feedback Systems -- 1.7 Analysis of Feedback -- 1.8 Control System Analysis and Design Objectives -- 1.9 Summary -- Glossary of Terms -- Chapter 2. MATLAB Basics -- 2.1 Introduction -- 2.2 Arithmetic Operations -- 2.3 Display Formats -- 2.4 Elementary Math Built-in Functions -- 2.5 Complex Analysis -- 2.6 Variable Names -- 2.7 Commands for Managing Variables -- 2.8 General Commands -- 2.9 Arrays -- 2.10 Operations With Arrays -- 2.11 Element-by- Element Operations -- 2.12 Random Numbers Generation -- 2.13 Polynomials -- 2.14 System of Linear Equations -- 2.15 Script Files -- 2.16 Programming in MATLAB -- 2.17 Graphics -- 2.18 Input/Output in MATLAB -- 2.19 Symbolic Mathematics -- 2.20 The Laplace Transforms -- 2.21 Example Problems and Solutions -- 2.22 Summary -- Chapter 3. MATLAB Application to Control Systems -- 3.1 Introduction -- 3.2 Transient Response Analysis -- 3.3 Response to Initial Condition -- 3.4 Second Order Systems -- 3.5 Root Locus Plots -- 3.6 Bode Diagrams -- 3.7 Nyquist Plots -- 3.8 Nichols Chart -- 3.9 Gain Margin, Phase Margin, Phase Crossover Frequency and Gain Crossover Frequency -- 3.10 Transformation of System Models -- 3.11 Bode Diagrams of Systems Defined in State-space -- 3.12 Nyquist Plots of a System Defined in State-space -- 3.13 Transient-Response Analysis in State-space -- 3.14 Response to Initial Condition in State-space -- 3.15 Example Problems and Solutions -- 3.16 Summary -- Chapter 4. MATLAB Basics Tutorial -- 4.1 Numerical Calculations -- Chapter 5. MATLAB Tutorial on Control Systems -- 5.1 System Representation -- 5.2 Performance and Stability of Feedback Systems -- 5.3 Analysis of Control Systems -- 5.4 Design of Control Systems -- Bibliography -- Appendices -- Appendix A: Complex Analysis -- Appendix B: Units and Conversion -- Appendix C: Basic Engineering Mathematics -- Appendix D: Partial Fraction Expansions.
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"MATLAB for Control System Engineers is designed as an introductory undergraduate or graduate course for science and engineering students of all disciplines. Control systems engineering is a multidisciplinary subject and presents a control engineering methodology based on mathematical fundamentals and stresses physical system modeling. The classical methods of control systems engineering are covered here using MATLAB software: matrix analysis, Laplace transforms and transfer functions, root locus analysis and design, frequency response methods of analysis including Bode, Nyquist, and Nichols, second order systems approximations, phase and gain margin and bandwidth, and state space variable method. Presentations are limited to linear, time-invariant continuous systems. The numerous worked examples (over 400 problems and solutions) are intended to provide the reader with an awareness of the general applicability of control theory using MATLAB. An extensive bibliography to guide the students to further sources of information on control systems engineering using MATLAB is provided at the end of the book."--Amazon.in