Safe Adaptive Control : Data-Driven Stability Analysis and Robust Synthesis

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 controlle...

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Autori principali: Stefanovic, Margareta, Safonov, Michael George (Autore)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: London : Springer London 2011.
Cham : Springer Nature
Serie:Lecture Notes in Control and Information Sciences 405
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Edition sous un autre format:• Safe adaptive control, data-driven stability analysis and robust synthesis, Margareta Stefanovic and Michael G. Safonov, London, Springer, 2011, 1 vol. (XII-144 p.), Lecture notes in control and information sciences, 978-1-8499-6452-4
• Safe Adaptive Control, Texte imprimé, 9781849964548
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505 0 |a Introduction -- Definitions and Preliminary Facts -- Stability Results -- Generalization to the Time-varying Case -- Switched Adaptive Controller: Robust Synthesis -- Comparison with Other Switching Adaptive Schemes -- Conclusion. 
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520 |a 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. 
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