Digital Control Systems

To take full advantage of the potential of modern digital control systems, this text demonstrates how to design high-performance model-based controllers using techniques extensively tested in an industrial context. Implementation issues are considered and applications illustrate the effective use of the techniques proposed. Several recent methodological developments in control design and system identification: robust digital control design using sensitivity function shaping; plant identification in closed loop operation; and reduction of controller complexity are covered, as is state space representation. The text of Digital Control Systems is enhanced by the use of software illustrating the various concepts and algorithms and gives a feeling for the phenomena, discussed. Graduate students in digital control will find this text helpful in learning the essential techniques of computer-based control while the additional material will make the tutor's tasks of teaching and preparation quicker and easier. TOC:Continuous Control Systems: A Review.- Computer Control Systems.- Digital Controller Design Methods.- Design of Digital Controllers In the Presence of Random Disturbances.- System Identification: The Basics.- Recursive Identification Methods.- Practical Aspects of System Identification.- Practical Aspects of Digital Control.- Identification in Closed Loop.- Reduction of Controller Complexity.- Appendices: State Space Control; A Brief Review of Theories of Signals and Probability; Design of R-S-T Digital Controllers in the Time Domain; Generalized Stability Margin and Normalized Distance between Two Transfer Functions; The Adaptation Gain Updating - The U-D Factorization; Laboratory Sessions; MATLAB?, Scilab and C++ Functions.