MULTILAYER FEED FORWARD NEURAL NETWORKS FOR CONTROLLING DECENTRALIZED LARGE-SCALE NON-AFFINE NONLINEAR SYSTEMS WITH GUARANTEED STABILITY

作者：Karimi Bahram^*; Menhaj Mohammad Bagher; Saboori Iman

来源：International Journal of Innovative Computing Information and Control, 2010, 6(11): 4825-4841.

• Decentralized non-affine nonlinear system
• Adaptive control
• Multilayer feed forward neural network (MFNN)

This paper introduces a new decentralized adaptive neural network controller for a class of large scale nonlinear systems with unknown non-affine subsystems and unknown interconnections represented by nonlinear functions A multilayer feedforward neural network is used to represent the controller's structure The ultimate boundedness of the closed loop system is guaranteed through Lyapunov stability analysis by introducing a suitably driven adaptive rule To show the effectiveness of the proposed decentralized adaptive controller, a nonlinear system is chosen as a case study Simulation results are very promising

• 出版日期2010-11