Quasi-min-max Output-feedback Model Predictive Control for LPV Systems with Input Saturation

다국어 초록 (Multilingual Abstract)

In the research field of model predictive control (MPC), an output-feedback-type MPC method is consistentlyrequired for controlling a wide range of constrained systems. In this paper, we propose a two-stage controlstrategy for polytopic linear parameter varying (LPV) systems subject to input constraints. This strategy consistsof a modified quasi-min-max output-feedback MPC method and a novel terminal output-feedback robust controltechnique. The proposed control mechanism involves the system states to be first controlled via the MPC methodto be driven into a prescribed neighborhood of the origin, and then, the terminal output-feedback robust controlmethod guaranteeing the input constraints is applied to make such states converge to the origin. It is also verifiedthat our control method guarantees the closed-loop stability and feasibility in the presence of model uncertaintiesand input constraints. Finally, a numerical example is given to demonstrate its effectiveness.

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