This paper puts forward a feasible active control algorithm to the AMD benchmark problem of structural control field based on H∞control theory. Details of selecting weighting functions of H∞control are presented and...
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This paper puts forward a feasible active control algorithm to the AMD benchmark problem of structural control field based on H∞control theory. Details of selecting weighting functions of H∞control are presented and the acceleration feedback controller based on DGKF method is designed. A reduced order controller is obtained by the balanced truncation method. Effectiveness and robustness of H∞controller is testified via simulation.
In this paper, we use chaos optimization and adaptive genetic algorithm to deal with the problem of multi - targets data association separately. Based on the analysis of the limitation of chaos optimization and geneti...
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In this paper, we use chaos optimization and adaptive genetic algorithm to deal with the problem of multi - targets data association separately. Based on the analysis of the limitation of chaos optimization and genetic algorithm, a new chaos genetic optimization combination algorithm is presented. And the simulation results show that the combination algorithm can obtain higher correct association percent and the effect of association is obviously superior to chaos optimization or genetic algorithm separately.
This paper presents an integrated system which has monitoring, fault diagnosis and controlling function for chemical processes. The system is based on multiagent technology. In this paper, three agents are made to bui...
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This paper presents an integrated system which has monitoring, fault diagnosis and controlling function for chemical processes. The system is based on multiagent technology. In this paper, three agents are made to build the integrated system. They are: monitoring agent, fault diagnosis agent and controlling agent. They can work together in an integrated frame. We try our best to solve the coordinating tasks in communication, interaction and cooperation and achieve the aim. This multiagent system can supply optimal decision for the enterprise and it will be the fundamental of completed automation in future.
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