Safe Adaptive Control gives a formal and complete algorithm for assuring the stability of a switched control system when at least one of the available candidate controllers is stabilizing. The possibility of having an unstable switched system even in the presence of a stabilizing candidate controller is demonstrated by referring to several well-known adaptive control approaches, where the system goes unstable when a large mismatch between the unknown plant and the available models exists ("plant-model mismatch instability"). Sufficient conditions for this possibility to be avoided are formulated, and a "recipe" to be followed by the control system designer to guarantee stability and desired performance is provided. The problem is placed in a standard optimization setting. Unlike the finite controller sets considered elsewhere, the candidate controller set is allowed to be continuously parametrized so that it can deal with plants with a very large range of uncertainties.
| Autorius: | Michael G. Safonov, Margareta Stefanovic, |
| Serija: | Lecture Notes in Control and Information Sciences |
| Leidėjas: | Springer London |
| Išleidimo metai: | 2011 |
| Knygos puslapių skaičius: | 160 |
| ISBN-10: | 1849964521 |
| ISBN-13: | 9781849964524 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Cybernetics and systems theory |
Parašykite atsiliepimą apie „Safe Adaptive Control: Data-driven Stability Analysis and Robust Synthesis“
