Time-weighted MR for switched LPV systems via balanced realisation
Date
2017
Authors
Zhang, H.
Lim, C.
Wu, L.
Shi, P.
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Journal article
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IET Control Theory and Applications, 2017; 11(17):3069-3078
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Huiyan Zhang, Cheng-Chew Lim, Ligang Wu, Peng Shi
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Abstract
A new model reduction (MR) method is developed for continuous-time switched linear parameter-varying (LPV) systems based on time-weighted gramians. Using time-weighted energy functionals and parameter-independent multiple Lyapunov functions, the time-weighted controllability and observability gramians are obtained. With a balanced transformation matrix optimally derived, the authors show that a balanced realisation can be achieved for the original switched LPV systems. A series of low-order models for different weighting factors are yielded by state truncation or singular perturbation techniques. The reduced-order models can preserve the stability. The feasibility and effectiveness of the proposed MR method are illustrated by two examples including a three spring-mass system.
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© The Institution of Engineering and Technology 2017