Control systems theory with engineering applications / Sergey Edward Lyshevski.
"Control Systems Theory with Engineering Applications uses modern concepts of control systems theory to provide an accessible text for the most important aspects in linear and nonlinear multivariable systems. This book presents well-defined theoretical base with step-by-step instruction on how...
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boston :
Birkhauser,
2001.
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| Series: | Control engineering (Birkhäuser).
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| Subjects: |
MARC
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| 100 | 1 | |a Lyshevski, Sergey Edward, |e author. |9 1074736 | |
| 245 | 1 | 0 | |a Control systems theory with engineering applications / |c Sergey Edward Lyshevski. |
| 264 | 1 | |a Boston : |b Birkhauser, |c 2001. | |
| 300 | |a xi, 416 pages : |b illustrations ; |c 24 cm + |e 1 computer disc (12 cm). | ||
| 336 | |a computer dataset |b cod |2 rdacontent |3 Accompanying material | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Control engineering | |
| 500 | |a Accompanied by: 1 computer disc (computer optical disc) | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 1. Introduction: Modeling, Identification, Optimization, and Control -- 2. Mathematical Model Developments. 2.1. Engineering Systems and Models. 2.2. Basic Principles in Model Developments -- 3. Modeling of Dynamic Systems using Matlab and Simulink. 3.1. Engineering Computations Using Matlab. 3.2. Analysis and Modeling of Dynamic Systems Using Matlab -- 4. Analysis and Control of Linear Dynamic Systems. 4.1. Introduction: Analysis of Multivariable Continuous- and Discrete-Time Systems. 4.2. Continuous-Time Dynamic Systems and Analog controllers. 4.3. Control of Dynamic Systems Using Digital PID Control Laws. 4.4. Hamilton-Jacobi and Lyapunov Methods in Optimal Control of Continuous-Time Systems. 4.5. Pole Placement Design by Using State Feedback. 4.6. Control of Discrete-Time Systems Using the Hamilton-Jacobi Theory -- 5. Analysis, Identification, and Control of Nonlinear Dynamic Systems. 5.1. Nonlinear Analysis of Dynamic Systems. 5.2. State-Space Nonlinear Identification. 5.3. Design of Stabilizing Controllers Using the Lyapunov Theory. 5.4. Optimization of Continuous-Time Systems. 5.5. Sliding Mode Control. 5.6. Control of Discrete-Time Systems. 5.7. Nonlinear Control of Permanent-Magnet Synchronous Motors. 5.8. Case Study in Nonlinear Control of Multivariable Systems: Motion Control of Induction Motors. 5.9. Control of Servo-Systems With Permanent-Magnet DC Motors -- | |
| 505 | 8 | |a Machine generated contents note: 1. Introduction: Modeling, Identification, Optimization, -- and Control -- 2. Mathematical Model Developments -- 2.1. Engineering Systems and Models-- 2.2. Basic Principles in Model Developments-- 2.2.1. Newtonian Mechanics-- 3. Modeling of Dynamic Systems using MATLAB and SIMULINK -- 3.1. Engineering Computations Using MATLAB-- 3.2. Analysis and Modeling of Dynamic Systems Using MATLAB. -- 4. Analysis and Control of Linear Dynamic Systems -- 4.1. Introduction: Analysis of Multivariable Continuous- and -- Discrete-Time Systems-- 4.2. Continuous-Time Dynamic Systems and Analog Controllers-- 4.2.1. Control Bounds-- 4.3. Control of Dynamic Systems Using Digital PID Control Laws. -- 4.4. Hamilton-Jacobi and Lyapunov Methods in Optimal Control of -- Continuous-Time Systems-- 4.4.1. The Hamilton-Jacobi Theory and Optimal Control-- 4.4.2. The Lyapunov Theory and Optimal Control-- 4.5. Pole Placement Design by Using State Feedback-- 4.5.1. Control of a Servo-System with Permanent-Magnet -- DC Motor-- 4.6. Control of Discrete-Time Systems Using the -- Hamilton-Jacobi Theory-- 4.6.1. Linear Quadratic Regulator Problem-- 4.6.2. Constrained Optimization of Discrete-Time Systems-- 4.6.3. Tracking Control of Discrete-Time Systems-- 5. Analysis, Identification, and Control of -- Nonlinear Dynamic Systems -- 5.1. Nonlinear Analysis of Dynamic Systems-- 5.2. State-Space Nonlinear Identification-- 5.2.1. Least-Squares Identification-- 5.2.2. Time-Domain, Nonlinear, Mapping-Based Identification. -- 5.3. Design of Stabilizing Controllers Using the Lyapunov Theory. -- 5.3.1. Lyapunov Stability Theory and Design of Control Laws-- 5.3.2. Design of the Constrained Controllers for Uncertain -- Nonlinear Systems Using the Lyapunov Stability Theory. -- 5.4. Optimization of Continuous-Time Systems-- 5.4.1. Optimization of Time-Invariant Systems-- 5.4.2. Constrained Optimization of Time-Varying Systems-- 5.4.3. Optimal Control of Nonlinear Continuous-Time -- Systems: Design of Bounded Controllers Via -- Generalized Nonquadratic Functionals-- 5.4.4. Tracking Control of Continuous-Time Systems-- 5.4.5. Robust Control of Nonlinear Continuous-Time Systems-- 5.4.6. Robust Tracking Control of Nonlinear Systems-- 5.5. Sliding Mode Control-- 5.6. Control of Discrete-Time Systems-- 5.6.1. Tracking Control-- 5.6.2. Constrained Optimization-- 5.7. Nonlinear Control of Permanent-Magnet Synchronous Motors. -- 5.7.1. Nonlinear Motor Dynamics-- 5.7.2. Feedback Linearization and Control-- 5.7.3. The Lyapunov-Based Approach-- 5.7.4. Analytical and Numerical Results-- 5.8. Case Study in Nonlinear Control of Multivariable Systems: -- Motion Control of Induction Motors-- 5.8.1. Mathematical Models of Induction Motors-- 5.8.2. Control of Induction Motors-- 5.8.3. Control of a Three-Phase Squirrel Cage Induction Motor: -- Analytical and Experimental Results-- 5.9. Control of Servo-Systems With Permanent-Magnet DC Motors-- 5.9.1. Proportional-Integral Control-- 5.9.2. Tracking Integral Control-- 5.9.3. Relay (Time-Optimal) Control-- 5.9.4. Sliding Mode Control with Soft Switching. | |
| 520 | |a "Control Systems Theory with Engineering Applications uses modern concepts of control systems theory to provide an accessible text for the most important aspects in linear and nonlinear multivariable systems. This book presents well-defined theoretical base with step-by-step instruction on how to apply it by thoroughly studying a great number of practical real world problems and using numerous examples.; The book gives basic introductory theory relating to the linear state space concept. It provides the reader with the necessary background needed to comprehend the principles and models presented throughout the remaining portions of the book. The methods and applications presented include a variety of relevant topics selected for their insight and pedagogical effectiveness.; Topics: ; * A vast range of worked-out examples and qualitative illustrations. ; * Mathematical model developments including Newtonian Mechanics and Lagrange Equations of Motion; * Analysis, identification and control of linear and nonlinear dynamic systems; * Practical engineering examples including dynamic modeling in MATLAB and SIMULINK; * Theory and applications of multivariable control; * Constrained optimization of continuos and discrete time systems.; Control Systems Theory with Engineering Applications is an exceptionally complete and accessible text/reference for graduates and professionals in automatic control and nonlinear control. It is an ideal resource to bridge the gap between theory and practice for students and engineers working in the fields of electrical, mechanical and aerospace engineering."--Publisher description. | ||
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