Digital Control and State Variable Method,Gopal

0.0

The third edition of Digital Control and State Variable Methods presents control theory relevant to the analysis and design of computer-control systems. Meant for the undergraduate and postgraduate courses on advanced control systems, this text provides an up-to-date treatment of digital control, state variable analysis and design, and nonlinear control. Key Features: Modular presentation of digital control, state variable methods and nonlinear systems. Includes state variable analysis and design methods for continuous-time and discrete time systems. Detailed discussion of nonlinear systems both conventional and intelligent Presents up-to-date treatment of digital control systems. New! Chapter on nonlinear control structures. (chapter 10) New! In-depth coverage of optimal control in the light of Lyapunov stability and Lyapunov function (chapter -8)New to this edition New chapter on nonlinear control structure Upgraded coverage of optimal control Modular presentation of digital control, state variable methods and nonlinear systems. Pedagogy: Solved examples: 138 Exercise problems: 255 Includes state variable analysis and design methods for continuous-time and discrete time systems. New! Chapter on nonlinear control structures. (chapter 10) Table of Content: PART I: DIGITAL CONTROL: PRINCIPLES AND DESIGN IN TRANSFORM DOMAINChapter 1. Introduction Chapter 2. Signal Processing in Digital Control Chapter 3. Models of Digital Control Devices and Systems Chapter 4. Design of Digital Control Algorithms PART II: STATE VARIABLE METHODS IN AUTOMATIC CONTROL: CONTINUOUS-TIME AND SAMPLED-DATA SYSTEMS Chapter 5. Control System Analysis using state variable methods Chapter 6. State variable Analysis of Digital Control System Chapter 7. Pole-Placement Design and State Observers Chapter 8. The Concept of Lyapunov Stability and Lyapunov Function Approach to Optimal Control PART III: NONLINEAR CONTROL SYSTEMS: CONVENTIONAL AND INTELLIGENTChapter 9. Nonlinear Systems Analysis Chapter 10. Non-linear control structure Chapter 11. Neural Networks Chapter 12. Fuzzy logic models