Digital Control Of Dynamic Systems

Introduction; Review of continuous control; Introductory digital control; Discrete systems analysis; Sampled-data systems; Discrete equivalents; Design using transform techniques; Design using state-space methods; Multivariable and optimal control; Quantization effects; Sample rate selection; System identification; Nonlinear control; Design of a disk drive servo: a case study; Appendix A: Exemples; Appendix B: Tables; Appendix C; A few results from matrix analysis; Appendix D: Summary of facts from the theory of probability and stochastic processes; Appendix E: Matlab functions; Appendix F; Differences between Matlab v5 and v4; References; Index.

This work discusses the use of digital computers in the real-time control of dynamic systems using both classical and modern control methods. Two new chapters offer a review of feedback control systems and an overview of digital control systems. MATLAB statements and problems have been more thoroughly and carefully integrated throughout the text to offer students a more complete design picture.

Discusses the use of digital computers in the real-time control of dynamic systems.

Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; shaping the dynamic response; more. 1986 edition.

This tutorial provides a variety of simulation algorithms for the design and control of dynamic systems. It explains the accuracy and stability of automatic control theory, emphasizing those systems described by stiff non-linear differential equations.

This text covers the material that every engineer, and most scientists and prospective managers, needs to know about feedback control, including concepts like stability, tracking, and robustness. Each chapter presents the fundamentals along with comprehensive, worked-out examples, all within a real-world context.