This study is concerned with the stability, l2-gain analysis and ℋ∞ control for a class of discrete-time switched linear parameter-varying systems with both mode-dependent average dwell time (MDADT) and asynchronous switching, where 'asynchronous' means the switching of controllers has a lag to the switching of system modes. The l2-gain for general switched systems with MDADT in non-linear setting is firstly derived. Based on the obtained results, the problem of asynchronous ℋ∞ control for the studied systems is formulated under the framework of MDADT switching logic, and the conditions for the existence of admissible asynchronous ℋ∞ controllers are deduced in the form of parameterised linear matrix inequalities. A numerical example is provided to verify the effectiveness of the acquired results. © The Institution of Engineering and Technology 2013.

ℋ∞ control for asynchronously switched linear parameter-varying systems with mode-dependent average dwell time

Karimi, Hamid Reza;
2013-01-01

Abstract

This study is concerned with the stability, l2-gain analysis and ℋ∞ control for a class of discrete-time switched linear parameter-varying systems with both mode-dependent average dwell time (MDADT) and asynchronous switching, where 'asynchronous' means the switching of controllers has a lag to the switching of system modes. The l2-gain for general switched systems with MDADT in non-linear setting is firstly derived. Based on the obtained results, the problem of asynchronous ℋ∞ control for the studied systems is formulated under the framework of MDADT switching logic, and the conditions for the existence of admissible asynchronous ℋ∞ controllers are deduced in the form of parameterised linear matrix inequalities. A numerical example is provided to verify the effectiveness of the acquired results. © The Institution of Engineering and Technology 2013.
2013
Control and Systems Engineering; Electrical and Electronic Engineering; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern Recognition; Control and Optimization
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1036440
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