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 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 withplants with a very large range of uncertainties. Helps the reader achieve rapid plant adaptation in quickly-changing environments and fast convergence to target parameter values Provides the reader with rigorous treatment of adaptivesystem stability Gives the reader a method of analysing 'model-mismatch' instability with a view to avoiding it INDICE: 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.

• ISBN: 978-1-84996-452-4
• Editorial: Springer
• Encuadernacion: Rústica
• Páginas: 160
• Fecha Publicación: 02/12/2010
• Nº Volúmenes: 1
• Idioma: Inglés