Safe Adaptive Control [electronic resource]: Data-Driven Stability Analysis and Robust Synthesis / by Margareta Stefanovic, Michael G. Safonov.
Tipo de material: TextoSeries Lecture Notes in Control and Information Sciences; -405Descripción: XII, 148p. 89 illus., 21 illus. in color. online resourceISBN: 9781849964531 99781849964531Tema(s): Engineering | Artificial intelligence | Engineering | Control | Artificial Intelligence (incl. Robotics) | OPTIMIZACIÓN | MATHEMATICAL OPTIMIZATION | SYSTEMS THEORY | SYSTEMS THEORYClasificación CDD: 629.8 Recursos en línea: ir a documentoTipo de ítem | Ubicación actual | Colección | Signatura | Info Vol | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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DOCUMENTOS DIGITALES | Biblioteca Jorge Álvarez Lleras | Digital | 629.8 223 (Navegar estantería) | Ej. 1 | 1 | Disponible | D000671 |
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.
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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