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

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

Geared to the users' needs, this work provides comprehensive coverage of the main techniques and methods necessary to construct a self-tuning and self-adaptive system. Eliminating a lot of theoretical rigor, it provides the reader with a fundamental understanding of basic algorithms and techniques useful in self-tuning control and signal processing. Every aspect of adaptive engineering is thoroughly covered including extensive descriptions of applications, commercial instruments and current research. Besides offering sections on advanced and detailed topics, the book provides a wide selection of tutorial problems that will aid and stimulate the reader.

Recursive estimation schemes for self-tuning control. LOG based self-tuning controllers. Simplified self-tuning control algorithms. Implementation of continuous-time controllers. Numerical problems in adaptive control. Self-tuning control using extended prediction horizons. Software aspects of self-tuning control. Application of long range predictive control. Self adaptive state variable feedback control with application to glasshouse systems. Self-tuning control - a case study. LQG adaptive autopilots.