stochastic Model Predictive Control 就是提出来为了考虑概率分布描述的系统不确定性的方法,他通过考虑不确定性将原先的OCP问题建模称为一个Stochastic OCP问题。特别的,SMPC利用概率分布的不确定性来定义 chance constraints,一种是约束需要在一个最低的先验概率下满足,或者一种时约束需要在期望下满足。chance ...
Model predictive control (MPC) is an advanced control strategy that, thanks to its characteristics, can be embedded into battery management systems (BMS) to derive optimal charging strategies. However, deterministic MPC, which relies on a nominal model only, is not adequate in a realistic scenario...
4. Stochastic model predictive control The LQG control can be adapted to include constraints on the control input and state, which results in the stochastic OCP stated in Problem 1. This section presents a mathematical formulation for Problem 1, which is simply a modified version of the OCP (...
Model predictive control for stochastic systems by randomized… Lecture 14 - Model Predictive Control Part 1 The Concept:讲座14——模型预测控制部分的概念1 分布式鲁棒联合机会约束模型的炼钢连铸调度方法和装置 需求随机条件下运输问题的机会约束规划模型研究 机会约束规划 dynamic modeling and linear model predict...
Model Predictive Control (MPC) is a control strategy that has been used successfully in numerous and diverse application areas. The aim of the present entry is to discuss how the basic ideas of MPC can be extended to problems involving random model uncertainty with known probability distribution....
This paper presents a stochastic model predictive control method for linear time﹊nvariant systems subject to stateヾependent additive uncertainties modelled by Gaussian process (GP). The new method is developed by re‐building the tube‐based model predictive control framework with chance constraints ...
“Model Predictive Control (MPC) is a very popular and successful control technique in both the academic and industrial control communities. … undoubtedly, MPC should be part of any current modern control course. This book collects together the many results of the Oxford University predictive contro...
For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictiv...
A Stochastic Model Predictive Control Method for Tie-Line Power Smoothing under Uncertainty With the high proportion of distributed energy resource (DER) access in the distributed network, the tie-line power should be controlled and smoothed to mi... M An,X Han,T Lu - 《Energies》 被引量: ...
We present a stochastic model predictive control (MPC) method for linear discrete-time systems subject to possibly unbounded and correlated additive stochastic disturbance sequences. Chance constraints are treated in analogy to robust MPC using the concept of probabilistic reachable sets for constraint tig...