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首页> 外文期刊>Asian Journal of Control >SWITCHED STATE MODEL PREDICTIVE CONTROL OF FRACTIONAL-ORDER NONLINEAR DISCRETE-TIME SYSTEMS
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SWITCHED STATE MODEL PREDICTIVE CONTROL OF FRACTIONAL-ORDER NONLINEAR DISCRETE-TIME SYSTEMS

机译:分数阶非线性离散时间系统的开关状态模型预测控制

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摘要

Model predictive control is one of the more effective and frequently employed-in-industry control methods, especially for multiple input multiple output (MIMO) processes, in which a dynamic model of the process is used to predict its behavior over some time horizon and to determine the optimal future control policy. In this paper, a novel predictive algorithm for advanced process control for nonlinear and/or uncertain fractional-order discrete-time processes is proposed. First, a state model predictive controller for MIMO linear fractional-order discrete-time systems is introduced, and then the concept is extended to MIMO nonlinear and uncertain fractional-order processes which can be modeled by means of linear multimodels of fractional order. The algorithm is based on fast model selection to cope with process uncertainty and represents a class of so-called switched systems. Finally, a simulation example is provided.
机译:模型预测控制是更有效且在行业中经常使用的控制方法之一,尤其是对于多输入多输出(MIMO)过程,其中,使用过程的动态模型来预测其在一定时间范围内的行为并确定最佳的未来控制策略。本文提出了一种新颖的预测算法,用于非线性和/或不确定分数阶离散时间过程的高级过程控制。首先,介绍了用于MIMO线性分数阶离散时间系统的状态模型预测控制器,然后将该概念扩展到MIMO非线性和不确定分数阶过程,可以通过分数阶线性多模型对其进行建模。该算法基于快速模型选择以应对过程不确定性,并且代表一类所谓的交换系统。最后,提供了一个仿真示例。

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