基于高次神经网络的一类非线性组合大系统的鲁棒控制器设计
ROBUST CONTROLLER DESIGN FOR A CLASS OF NONLINEAR INTERCONNECTED SYSTEMS WITH SIMILARITY USING HIGH ORDER NEURAL NETWORKS
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摘要: 对于一类非线性组合大系统，本文提出了基于高次神经网络的一种新型控制器的设计方法．本文首先用高次神经网络逼近非线性组合大系统中的互联项，然后基于高次神经网络设计一种新型控制器，这种设计方法不仅解决了大系统中的最为复杂的互联项问题，较以往采用的办法在工程上易于实现．仿真结果表明了该方法的有效性．Abstract: In This paper,the problem of Robust controller design for a class of nonlinear uncertain interconnected systems with similar subsystems is considered,and a type of controller is developed.Finally,and example is presented to illustrate the results given in this paper and an estimation of the associated stabilized domain is given. Simulation shows that our method is very effective.
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