Model Predictive Control Of Uncertain Continuous-Time Systems With Piecewise Constant Control Input: A Convex Approach

2008 AMERICAN CONTROL CONFERENCE, VOLS 1-12(2008)

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摘要
In this paper two model predictive control (MPC) approaches, an on-line and an off-line MPC approach, for constrained uncertain continuous-time systems with piecewise constant control input are presented. Both MPC approaches guarantee robust asymptotic stability by taking into account the hybrid dynamics of the closed-loop system, resulting from the continuous-time system dynamics and the discrete-time model predictive controller dynamics. Examples are presented to demonstrate the applicability of the proposed MPC approaches.
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关键词
predictive control,model predictive control,predictive models,symmetric matrices,discrete time,control systems,optimal control,robust control,asymptotic stability,automatic control,sampling methods
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