一类系统的自寻优智能控制  

A Self-Optimizing Intelligent Control Method

作　　者：李宁[1] 陈锦娣[1] 田介眉 

机构地区：[1]北京理工大学自动控制系

出　　处：《北京理工大学学报》1996年第1期92-96,共5页Transactions of Beijing Institute of Technology

摘　　要：对一类系统提出了一种自寻优智能控制方案，该方案的模型描述是将解析模型和规则模型相结合，控制策略上是将最优控制的解析方法与古典控制理论的定性知识和专家经验相结合．因此，本方案所给出的控制规则和参数自整定规则较为完备，从而使控制器的控制性能接近最优控制，并具有良好的鲁棒性和适应性．仿真结果也证实了这一点．Proposes a self-optimizing intelligent control plan. The description of of the model wes combined with analytic model and rule model. The optimal analytic control method, the qualitative knowledge of the classical control theory and the expert experience were in-corporated forming the control strategy. So the control rules and the parameter self-regulation rules rules were better. The performance of the controller approached the optimal control with better robustness and adaptability. This is also confirmed by the result of sedation.

关 键 词：最佳控制 人工智能 智能控制 自寻优最佳控制 

分 类 号：TP273.1[自动化与计算机技术—检测技术与自动化装置]