Direct Adaptive Neural Network Control for a Class of Uncertain Nonlinear Systems
作者: 陈贞丰 ：广东技术师范学院自动化学院，广东 广州 ;
Abstract: In this paper, a novel systematic design procedure is presented for a class of uncertain nonlinear systems. Such design procedure can remove the control input terms which contain the unknown nonlinearities as the control coefficients, and provide the following advantages. It not only avoids a possible singularity problem completely, but also simplifies the control design process. Moreover, the proposed design procedure can provide simple control structure under the relaxed conditions, which is easy to implement and can be applied to a wider class of systems.
文章引用: 陈贞丰 (2015) 一类不确定非线性系统的直接自适应神经网络控制。 力学研究， 4， 51-60. doi: 10.12677/IJM.2015.42007
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