Control Systems Theory with Engineering Applications

This book allows students and engineers to apply advance theoretical concepts to enhance learning and to provide a gradual progression from versatile theortical to practical topics. Electrical control engineers and advanced students interested in nonlinear control of real world systems will find this book and essential resource.

"This well-written book treats modern concepts of control systems theory to provide an accessible text for the most important aspects in linear and nonlinear multivariable systems. The author presents a well-defined theoretical base with step-by-step instructions on how to apply [them] by thoroughly studying a great number of practical real-world problems and using numerous examples. A vast range of worked-out examples and qualitative illustrations is included. The bookis an exceptionally complete and accessible text/reference for graduates and professionals in automatic control and nonlinear control." Publicationes Mathematicae, Debrecen

"This book presents a foundation of modern control systems theory. It is well known that dynamical systems like living organisms, electromechanical and industrial systems, chemical and technological processes, market and ecology can be considered and analyzed using systems theory. The advent of computers has caused rapid strides in the area of control design and these circumstances are reflected in this book. For example software like MATLAB and SIMULINK are widely used here...[and] permits the investigator to formulate and solve the increasingly complex problems of control design. This book may be very useful for students, postgraduate students, engineers and scientists who are studying and designing controlled dynamical systems." Zentralblatt Math

Contenu

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. HamiltonJacobi 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 HamiltonJacobi 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.