Improved future model prediction and robust MPC design for LPV systems with bounded rates of parameter variations

ASCC(2013)

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摘要
For linear parameter varying (LPV) systems with bounded rates of parameter variations, the prediction of future system dynamics is an important issue for the control performance of robust model predictive control (RMPC). A future model prediction method is proposed. By introducing more freedom, the proposed method can predict the future system dynamics more precisely than the existing approaches, which improves the control performance of RMPC.
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关键词
robust model predictive control,rmpc,control system synthesis,robust control,parameter variations,bounded rates,lpv systems,robust mpc design,prediction theory,future system dynamics prediction,linear systems,linear parameter varying systems,control performance,predictive control,upper bound,prediction algorithms,optimization,predictive models,vectors,computational modeling,robustness
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