The robustness of discreted multi-agent systems has been deeply studied by using the methods of intellectualized and non-smooth analysis. The robustness criterion for multi-equvialance agent system has been proposed; The.L-controllable condition of T-type fuzzy control system has been put forward and.proved; A new method for analyzing the features of fuzzy control system an.robustness criterion based on fuzzy-neuro integrated system have been proposed; The.immune mechanism has been applied to representation and analysis of robustness; A system structure of the evolutionary control system for autonomous mobile robots and a method for non-smooth environment modeling based on sensory information have been investigated; The robustness for uncertain systems with norm limited nonlinearity has been studied and solved. Three monographies and 33 technical papers have been published, and 9 prizes have been granted. The expected research object of this research project have been over completed, and excellent research achivement has been gotten. This research result is an important contribution to the robustness research, and would promote the development of robust control and intelligent control.
采用智能化与非光滑分析和线性矩阵不等式等方法,深入研究离散型多智能体系统(DMAS)的鲁棒性理论和不确定摄动下的鲁棒控制特性,分析DMAS的可控性及其模型,提出与实现DMAS鲁棒性算法,建立DMAS的理论框架,为复杂工业过程的鲁棒控制打下基础。其成果将促进DMAS控制理论的研究及其应用,并开辟智能系统鲁棒性研究的新方向。...
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数据更新时间:2023-05-31
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