A New Control Strategy Based On an Novel Improved Credit Assigned CMAC Inverse Model Implemented In Artificial Climate Chamber Network

摘要：

Artificial Climate Chamber (ACC) is widely used in agricultural research as a simulation of the natural environment of the laboratory equipment. The real -time control of the ACC system is very difficult, due to its serious coupling, hysteresis and nonlinearity. In the paper, an intelligent real-time control strategy based on a novel Improved Credit Assigned Cerebellar Model Arculation Controller Neural network ICA-CMAC inverse model is proposed. The novel ICA-CMAC algorithm can not only interference in learning. Additionally, the inverse model is designed to accurately replicate the inverse system behavior, easy to be applied and has clear physical meaning. Simulation results prove that such a new type of intelligent control strategy is able to effectively achieve fast, stable, real -time tracking control of ACC.

关键词： Artificial Climate Chamber Credit Assign ICACMAC Inverse Model Intelligent Control Strategy

作者: Ma Shansha Luo Xiaoping Du Pengying Ge Yingqi

作者单位: Zhejiang University City College Hangzhou, China China Jiliang University Hangzhou, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 2596-2599

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）