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所属单位：北京航空航天大学
发表刊物：NEUROCOMPUTING
项目来源：北京市科技重点项目
关键字：Inertial stable platform Nonlinear dynamic model Sliding mode control Adaptive radial basis function
摘要：To improve the control performance of the inertial stable platform (ISP), a compound control method based on the adaptive neural network and sliding mode control method is proposed to deal with the system model uncertainties and the disturbances. A sliding mode control is designed for the ISP system to achieve the initial stability. Moreover, an adaptive neural network is proposed to approximate the system uncertainties and unknown disturbances to argument the control performance. Based on the current state error information, the weight matrix of adaptive neural network can be updated on line.
合写作者：Xusheng Lei, Ying,Zou
论文类型：基础研究
文献类型：期刊
是否译文：否
发表时间：2015-01-07
发布期刊链接：http://xueshu.baidu.com/s?wd=paperuri%3A%28b53b6df9ff886c7a75c8d74a49fcd4e0%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0