Safe Adaptive Control: Data-driven Stability Analysis and Robust Synthesis - Michael G. Safonov,Margareta Stefanovic
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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 unstab ... Full description
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Description
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.
More Information
| Author | Michael G. Safonov, Margareta Stefanovic |
|---|---|
| Publisher | Springer London |
| Series | Lecture Notes in Control and Information Sciences |
| Release year | 2011 |
| Cover type | Softcover |
| EAN | 9781849964524 |