Adaptive Control for Nonlinear Systems with H∞ Tracking Performance

摘要：

A Radial basis function neural network (RBFN) control algorithm for a class of nonlinear systems is developed, which is established based on implicit function theorem and inverse function theorem. For the nonlinear dynamic systems, with strong nonlinearity and uncertainty of approximated errors, the H1 optimal control technique is adopted. The result indicates that arbitrarily small attenuation level can be achieved via the proposed algorithm if a weighting factor of control variable is adequately chosen. The effectiveness of the proposed control scheme is illustrated through simulation.

作者: Tong Zhao

作者单位: Department of Automatic Control Qingdao University of Science and Technology Qingdao, 266042

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）