Digital Self-tuning Controllers: Algorithms, Implementation and Applications [Paperback]

Practical emphasis to teach students to use the powerful ideas of adaptive control in real applications

Custom-made Matlab? functionality to facilitate the design and construction of self-tuning controllers for different processes and systems 

Examples, tutorial exercises and clearly laid-out flowcharts and formulae to make the subject simple to follow for students and to help tutors with class preparation

Adaptive control theory has developed significantly over the past few years; self-tuning control represents one branch of adaptive control that has been successfully applied in practice. Controller design requires knowledge of the plant to be controlled which is not always readily accessible; self-tuning controllers gather such information during normal operation and adjust controller designs on-line as required.

Digital Self-tuning Controllers presents you with a complete course in self-tuning control, beginning with a survey of adaptive control and the formulation of adaptive control problems. Modelling and identification are dealt with before passing on to algebraic design methods and particular PID and linear-quadratic forms of self-tuning control. Finally, laboratory verification and experimentation will show you how to ground your theoretical knowledge in real plant control.

Features:

• comprehensive coverage providing everything a student needs to know about self-tuning control from literature survey to the control of an experimental heat exchanger;
• a strong emphasis on practical problem solving with control algorithms clearly laid out in easy-to-follow formulae, code listings or made directly available as MATLAB^? functions making the book particularly suitable as an aid to project work;
• specially written MATLAB^? tooll#”