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Model predictive control of nonlinear hybrid systems with discrete inputs employing a hybrid fuzzy model

机译:具有混合输入模糊模型的离散输入非线性混合系统的模型预测控制

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摘要

The paper deals with model predictive control (MPC) of nonlinear hybrid systems with discrete inputs based on reachability analysis. In order to implement a MPC algorithm, a model of the process that we are dealing with is needed. In the paper, a hybrid fuzzy modelling approach is proposed. The hybrid system hierarchy is explained and the Takagi–Sugeno fuzzy formulation for hybrid fuzzy modelling purposes is tackled. An efficient method of identification of the hybrid fuzzy model is also discussed.
机译:本文基于可达性分析,研究了具有离散输入的非线性混合系统的模型预测控制(MPC)。为了实现MPC算法,需要我们正在处理的过程的模型。本文提出了一种混合模糊建模方法。解释了混合系统的层次结构,并解决了用于混合模糊建模的Takagi-Sugeno模糊公式。还讨论了一种识别混合模糊模型的有效方法。

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