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This book merges two major areas of control: the design of control systems and adaptive control. Original contributions are made in the polynomial approach to stochastic optimal control and the resulting control laws are then manipulated into a form suitable for application in the self-tuning control framework. A major contribution is the derivation of both scalar and multivariable optimal controllers for the rejection of measurable disturbances using feedforward. A powerful feature of the book is the presentation of a case-study in which the LQG self-tuner was tested on the pressure control loop of a power station. The broad coverage of the book should appeal not only to research workers, teachers and students of control engineering, but also to practicing industrial control engineers.
| Autorius: | Kenneth J. Hunt |
| Serija: | Lecture Notes in Control and Information Sciences |
| Leidėjas: | Springer Berlin Heidelberg |
| Išleidimo metai: | 1989 |
| Knygos puslapių skaičius: | 324 |
| ISBN-10: | 3540505326 |
| ISBN-13: | 9783540505327 |
| Formatas: | 244 x 170 x 18 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Stochastic Optimal Control Theory with Application in Self-Tuning Control“
