A Matlab toolbox for LMI-based analysis and synthesis of LPV/LFT self-scheduled H∞ control systems

When controlling a Linear Parameter Varying (LPV) system, a LPV regulator is advisable, since it ensures better performance than a simple Linear Time Invariant actually does. In fact, real-time scheduling to the variations of the system allows the achievement of stability and performance requirement...

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Bibliographic Details
Main Authors: De Vito, Daniele, Kron, A, de Lafontaine, J, Lovera, M
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Computational modeling
Control systems
Heuristic algorithms
Mathematical model
Robustness
Uncertainty
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Summary:When controlling a Linear Parameter Varying (LPV) system, a LPV regulator is advisable, since it ensures better performance than a simple Linear Time Invariant actually does. In fact, real-time scheduling to the variations of the system allows the achievement of stability and performance requirements for a number of operating points. Within this setting, this paper discusses a Matlab toolbox achieving a self-scheduled LPV controller for an LPV model of the plant, robust in an H ∞ sense in the face of uncertainties affecting the system's dynamics, through a Linear Matrix Inequality approach. The resulting algorithm alternatively implements synthesis and analysis steps, until the desired closed-loop performance level has been reached or no improvement between two successive steps arises.
ISSN:2165-3011
2165-302X
DOI:10.1109/CACSD.2010.5612696