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® toolboxes convenient for the presentation of typical control system and plant properties and ready for use in direct control of real or simulated plants available from springeronline.com;
worked examples and tutorial exercises to guide you through the learning process.
Digital Self-tuning Controllers comprises an invaluable course with which graduate students and advanced undergraduates can learn how to overcome the significant problems of putting the powerful tools of adaptive control theory into practice. The text will also be of much interest to control engineers wishing to employ the ideas of adaptive control in their designs and plant.
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