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A mixed multi-step feedback RMPC for LPV systems with bounded parameter measurement errors and parameter changes

A mixed multi-step feedback RMPC for LPV Systems with bounde...

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第36届中国控制会议

作者： Pengyuan Zheng Zhendong Xiang Yingwei Kang College of Automation Engineering Shanghai University of Electric Power

ISBN: (纸本)9781538629185

For linear parameter varying(LPV) systems with bounded parameter measurement errors and parameter changes,we predict the families of future models which can deal with the measurement errors by utilizing the information on system *** on multi-step control sets and parameter-dependent feedback control,a mixed multi-step feedback robust model predictive control(RMPC) is developed to introduce more freedom and thus reduce the *** proposed method achieves good control performance with guaranteed robust and stability properties,which is verified by simulation example.

关键词： linear parameter varying systems Bounded measurement errors Bounded parameter changes Robust model predictive control parameter-dependent feedback control Mixed multi-step feedback control

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Dynamic output feedback MPC for LPV systems via iterative optimization

Dynamic output feedback MPC for LPV systems via iterative op...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Baocang Ding Department of Automation,School of Electronic and Information Engineering,Xi''an Jiao Tong University,Xi''an,710049,P.R.China

This paper considers output feedback robust model predictive control （MPC） for the linear parameter varying （LPV） system with both polytopic uncertainty and bounded *** emphasize on the problem of recursive feasibility:feasibility at the initial time means feasibility for all future *** assume that the estimation error lies in an *** ellipsoid is refreshed at each sampling time by invoking the previous solution of the optimization *** recursive feasibility is indeed guaranteed for the proposed algorithm,and the closed-loop stability is proven.A numerical example is provided to illustrate the effectiveness.

关键词： Dynamic output feedback Model predictive control linear parameter varying systems Recursive feasibility

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Predictive Control of Convex Polyhedron LPV systems with Markov Jumping parameters

Predictive Control of Convex Polyhedron LPV Systems with Mar...

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第24届中国控制与决策会议

作者： KARIMI Hamid Reza Department of Engineering Faculty of Engineering and Science University of Agder N-4898 GrimstadNorway

The problem of receding horizon predictive control of stochastic linear parameter varying systems is discussed. First, constant coefficient matrices are obtained at each vertex in the interior of linear parameter varying system, and then, by considering semi-definite programming constraints, weight coefficients between each vertex are calculated, and the equal coefficients matrices for the time variable system are obtained. Second, in the given receding horizon, for each mode sequence of the stochastic convex polyhedron linear parameter varying systems, the optimal control input sequences are designed in order to make the states into a terminal invariant set. Outside of the receding horizon, stability of the system is guaranteed by searching a state feedback control law. Finally, receding horizon predictive controller is designed in terms of linear matrix inequality for such system. Simulation example shows the validity of this method.

关键词： predictive control convex polyhedron linear parameter varying systems Markov jumping parameters

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Further studies on robust model predictive control via dynamic output feedback

Further studies on robust model predictive control via dynam...

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2010 Chinese Control and Decision Conference

作者： Xubin Ping,Baocang Ding Department of Automation,School of Electronic and Information Engineering,Xi''an Jiao Tong University,Xi''an,710049,P.R.China

＜正＞This paper considers output feedback robust model predictive control（MPC） for the quasi-linear parameter varying（quasi-LPV） system with bounded *** so-called quasi-LPV means that the time varying parameters of the linear system are known at the current time,but unknown in the *** contribution of this paper is on the further discussions of the feasibility and control performance for the dynamic output feedback controller designed previously.

关键词： Dynamic output feedback Model predictive control linear parameter varying systems Control performance

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Dynamic Output Feedback MPC for LPV systems via Near-optimal Solutions

Dynamic Output Feedback MPC for LPV Systems via Near-optimal...

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第三十届中国控制会议

作者： DING Baocang Department of Automation,School of Electronic and Information Engineering,Xi''an Jiao Tong University,Xi''an,710049,P.R.China

＜正＞This paper considers output feedback robust model predictive control（MPC） for the linear parameter varying（LPV） system with both polytopic uncertainty and bounded *** emphasize on the problem of near-optimal solution:a solution to the upper bound of the performance cost which is sufficiently close to the theoretically minimum *** constraints on the input and output are *** recursive feasibility is guaranteed,i.e.,feasibility of the optimization problem at the initial time means its feasibility at all future *** augmented state of the closed-loop system is guaranteed to converge to a neighborhood of the *** example for continuous stirred tank reactor（CSTR） is provided to illustrate the effectiveness.

关键词： Dynamic output feedback Model predictive control linear parameter varying systems Recursive feasibility

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