ProcessSystemsEnaineerinaModelPredictiveControlLinearModelsKennethRawlingsDept.ChemicalEngineering,UniversityAustin,Austin,TX78712articlediscussesexistinglinearmodelpredictivecontrolconceptsunifiedtheoreticalframeworkbasedstabilizing,infinitehorizon,linearquad-raticregulator.representunstablestablemultivariablesystems,standardstate-spac...
Process Systems Enaineerina Model Predictive Control with Linear Models Kenneth R. Muske and James B. Rawlings Dept. of Chemical Engineering, University of Texas at Austin, Austin, TX 78712 This article discusses the existing linear model predictive control concepts in a unified theoreticalframework ...
Linear model predictive control of unstable processes This paper discusses the implementation of linear model predictive control techniques with open-loop unstable models. These models come from unstable plant... KR Muske,JB Rawlings - 《Journal of Process Control》 被引量: 190发表: 1993年 Control ...
The purpose of this section is to provide a tutorial overview of potential strategies for control of nonlinear systems with linear models. A following section relates methods to implement dynamic control with nonlinear models. ExerciseObjective: Design a model predictive controller for an overhead ...
Model predictive control with linear models. AIChE J., 39(2):262–287, 1993. [21] G. Pannocchia and J. B. Rawlings. Disturbance models for offset-free model-predictive control. AIChE J., 49(2):426–437, 2003. [22] S. J. Qin and T. A. Badgwell. A survey of industrial model...
Linear model predictive control Nowadays in the research literature MPC is formulated almost always in the state space. The system to be controlled is described by a linear discrete time model.xk+1=Axk+Buk,x0=x0,where x(k)∈Rn and u(k)∈Rm denote the state and control input, respectivel...
Contingency Model Predictive Control for Linear Time-Varying Systems,John P. Alsterda and J. Christian Gerdes。这个文章是 Contingency Model Predictive Control for Automated Vehicles作者的后续文章,…
Model predictive control (MPC) is a very popular controller design method in the process industry. An important advantage of MPC is that it allows the inclusion of constraints on the inputs and outputs. Usually MPC uses linear discrete-time models. In this paper we extend MPC to a class of...
【Linear MPC入门】Model Predictive Control Algorithm, Feasibility and Stability 有限时间带约束的优化问题,叫model predict control(MPC),或者也叫receding horizon control(RHC)。
The issues of feasibility of the on-line optimization, stability and performance are largely understood for systems described by linear models. Much progress has been made on these issues for non-linear systems but for practical applications many questions remain, including the reliability and ...