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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| creator | De Vito, Daniele Kron, A de Lafontaine, J Lovera, M |
| description | 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. |
| doi_str_mv | 10.1109/CACSD.2010.5612696 |
| format | Conference Proceeding |
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| issn | 2165-3011 2165-302X |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Computational modeling Control systems Heuristic algorithms Mathematical model Robustness Uncertainty |
| title | A Matlab toolbox for LMI-based analysis and synthesis of LPV/LFT self-scheduled H∞ control systems |
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