On suboptimal control design for hybrid automata using predictive control techniques [PDF]
, 2005 In this paper we propose an on-line design technique for the target control problem, when the system is modelled by hybrid automata. First, we compute off-line the shortest path, which has the minimum discrete cost, from an initial state to the given ...
Pang, Yan +2 more
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Model predictive control design for industrial applications [PDF]
, 2006 In many industrial processes, the regulatory level based on PID controllers is able to maintain the process variables about the given set point values. However, economic reasons and operational constraints make it necessary to optimise plant operations ...
Balbis, L. +5 more
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Hydrology, 2023 The model predictive control (MPC) approach can be implemented in either a reactive (RE-) or predictive (PR-) manner to control the operation of urban drainage systems (UDSs).
Fatemeh Jafari +2 more
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Comparative analysis of control methods with predictive models of six-phase permanent magnet synchronous motor [PDF]
Омский научный вестник, 2020 This article presents a comparison of the performance of the sixphase permanent magnet motor (PMSM) based on two control methods: continuous control set model predictive control (CCSMPC) and a finite control set model predictive control (FCSMPC).
A. A. R. Rahim, S. N. Kladiev, S. Saeidi
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Trends of optimal dispatching of microgrid for fishery based on model predictive control
Information Processing in Agriculture, 2022 As a constrained optimization strategy, model predictive control (MPC) is widely used in the optimal dispatch of microgrids. Rolling optimization and feedback correction strategy can effectively deal with the impact due to the system uncertainty and ...
Ran Zhao, Maozhi Miao, Yuntao Ju
doaj +1 more source
Performance monitoring of MPC based on dynamic principal component analysis
, 2011 A unified framework based on the dynamic principal component analysis (PCA) is proposed for performance monitoring of constrained multi-variable model predictive control (MPC) systems.
Gong Quan Chen +7 more
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Stability analysis tool for tuning unconstrained decentralized model predicitive controllers [PDF]
, 2006 Some processes are naturally suitable to be controlled in a decentralized framework: centralized control solutions are often infeasible in dealing with large scale plants and they are technologically prohibitive when the processes are too fast for the ...
Vaccarini, M., Katebi, M.R., Longhi, S.
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Model Identification and Robust Nonlinear Model Predictive Control of a Twin Rotor MIMO System [PDF]
, 2009 PhDThis thesis presents an investigation into a number of model predictive control (MPC) paradigms for a nonlinear aerodynamics test rig, a twin rotor multi-input multi-output system (TRMS).
Rahideh, Akbar
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Model-Free Predictive Current Control of a Voltage Source Inverter
IEEE Access, 2020 Conventional model predictive control (MPC) of power converter has been widely applied to power inverters achieving high performance, fast dynamic response, and accurate transient control of power converter. However, the MPC strategy is highly reliant on
Jose Rodriguez +5 more
doaj +1 more source
Model predictive control for electrical drive systems-an overview
CES Transactions on Electrical Machines and Systems, 2017 This paper reviews the classification and application of the model predictive control (MPC) in electrical drive systems. Main attention is drawn to the discrete form of MPC, i.e.
Fengxiang Wang +3 more
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