Control Systems Theory with Engineering Applications

Sergey E. Lyshevski (Autor)

Buch | Hardcover

416 Seiten

2001
Birkhauser Boston Inc (Verlag)
978-0-8176-4203-7 (ISBN)

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Dynamics systems (living organisms, electromechanical and industrial systems, chemical and technological processes, market and ecology, and so forth) can be considered and analyzed using information and systems theories. For example, adaptive human behavior can be studied using automatic feedback control. As an illustrative example, the driver controls a car changing the speed and steer ing wheels using incoming information, such as traffic and road conditions. This book focuses on the most important and manageable topics in applied multivariable control with application to a wide class of electromechanical dynamic systems. A large spectrum of systems, familiar to electrical, mechanical, and aerospace stu dents, engineers, and scholars, are thoroughly studied to build the bridge between theory and practice as well as to illustrate the practical application of control theory through illustrative examples. It is the author's goal to write a book that can be used to teach undergraduate and graduate classes in automatic control and nonlin ear control at electrical, mechanical, and aerospace engineering departments. The book is also addressed to engineers and scholars, and the examples considered allow one to implement the theory in a great variety of industrial systems. The main purpose of this book is to help the reader grasp the nature and significance of multivariable control.

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.- References.

Reihe/Serie	Control Engineering
Zusatzinfo	XI, 416 p.
Verlagsort	Secaucus
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Themenwelt	Technik ► Maschinenbau
ISBN-10	0-8176-4203-X / 081764203X
ISBN-13	978-0-8176-4203-7 / 9780817642037
Zustand	Neuware