复杂不确定性过程中基于智能的多模态控制策略

数学模型难以描述复杂不确定性的过程.为了避免复杂不确定性过程控制中用数学范式建模与控制的困境,探索了一种基于无模型的智能控制策略.基于分解协调原理,对过程控制的难点进行了剖析,总结了底层复杂不确定性过程的控制论特征,研究了面向独立子过程的无模型多模态智能控制策略,并构造了一种多模态控制算法.实验仿真的响应曲线表明:基于仿人智能控制的多模态控制策略能获得预期的良好控制品质.研究结果表明:提出的多模态控制策略是合理可行的.

Intelligence based multimodal control strategy in complex uncertainty process

The process of complex uncertainty is difficult to describe by mathematical model.In order to avoid the predicament of mathematical paradigm modeling and control in complex uncertainty process control, this paper explored a kind of model based intelligent control strategy.In this paper, based on the principle of decomposition coordination, it made the anatomy on the difficulties in process control, summarized up the cybernetics characteristic of the complex uncertainty process in bottom layer, studied on the intelligent control strategy of model free multi-modal faced to independent sub-process, and constructed a sort of multi-modal control algorithm.The response curves of simulation result demonstrated that the multi-modal control strategy based on human simulated intelligent control can obtain the expected good control quality.The research results show that the free multi-modal control strategy proposed in this paper is reasonable and feasible.