15th Triennial World Congress of the International Federation of Automatic Control
  Barcelona, 21–26 July 2002 
ADAPTIVE GAIN-SCHEDULED H CONTROL OF LINEAR PARAMETER-VARYING SYSTEMS
Yoshihiko Miyasato*
* The Institute of Statistical Mathematics
4-6-7 Minami-Azabu, Minato-ku, Tokyo 106-8569, JAPAN

This paper concerns with a new class of adaptive gain-scheduled H control of linear parameter-varying (LPV) systems. The plants in this manuscript are assumed to be polytopic LPV systems, but the time-varying parameters in those plants are not available for measurement, and thus, the conventional gain-scheduled control strategy cannot be applied. In the proposed adaptive schemes, the estimates of those unknown parameters are obtained successively, and the current estimates are fed to the controllers to stabilize the plants and to attain H control performance adaptively. Stability analysis of the adaptive control systems is carried out by utilizing Lyapunov approaches based on linear matrix inequalities in the bounded real lemma.
Keywords: adaptive control; gain-scheduled control; linear parameter-varying systems; H control; linear matrix inequality
Session slot T-Mo-A03: Switching and Multiple Models for Adaptive Control/Area code 3b : Adaptive Control and Tuning