在最经济控制、低成本自动化和智能控制已有成果的基础上, 提出并研究了最经济智能控制系统(Most Economical Intelligent Control System—MEICS)的概念、设计方法 和实现技术.探讨了MEICS的体系结构, 分析了其经济性;提出了 广义自适应遗传算法(Generalized Self-adaptive Genetic Algorithm—GSAGA), 即首先产生均匀分布的初始种群, 保留种 群中的优秀个体直接进入下一代, 再根据种群模式的状况决定是 否引入``高品质移民'', 最后自适应地进行交换和变异运算; 提出了基于网络的控制系统的信息结构能通性概念, 建立了信息 结构模型和信息结构能通性判据;分析了信息结构的可靠性和经 济性, 提出了评价可靠性的指标;采用GSAGA 分别对MEICS的系统 逻辑信息通道结构和控制系统参数进行优化设计, 实现了MEICS的 优化设计;介绍了MEICS的应用例子.

Based on the present achievements of the study of Most Economical Control (MEC), Low Cost Automation (LCA), and Intelligent Control (IC), the concept of Most Economical Intelligent Control System (MEICS) is developed, and its design methods and realization techniques are studied. The system structure and economical feature of MEICS is explored. Generalized Self-adaptive Genetic Algorithm (GASA) is promoted, in Which evenly distributed initial population is generated, then the excellent individuals are transferred directly into the sub-generation, and high quality immigrants are introduced depending on the population schema, finally, crossover and mutation are operated self-adaptively. The concept of information structure circulation ability of the control system based on network is promoted. The information structure models and the circulation ability criterions are established. The reliability and economy of the information structure are analyzed. The criterions of the evaluation reliability are provided. By employing GSAGA to optimize the system logic information channel structure and the control system parameters, the optimization of MEICS can be actualized. The application of MEICS is introduced.