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Articles

Adaptive control design with S-variable LMI approach for robustness and L2 performance

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Pages 194-203 | Received 28 Feb 2018, Accepted 26 Nov 2018, Published online: 10 Dec 2018
 

ABSTRACT

Matrix inequality-based results are proposed for the design of direct adaptive control. The focus is on guaranteeing robustness of the closed-loop when facing both structured parametric uncertainties and input disturbances. Results apply to systems in descriptor form with polytopic uncertainties and readily extend to systems rational in the uncertain parameters. The exposed methodology is an extension of previous studies started in cooperation with Alexander L. Fradkov. These studies aim at applying up-to-date linear robust control tools for passivity-based adaptive control. The paper contributes to this framework with new parameter-dependent Lyapunov functions and new degrees of freedom in the adaptive laws offering the possibility to design controllers with improved closed-loop performances.

Disclosure statement

No potential conflict of interest was reported by the authors.

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