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RSOFCPN: CONTROL SYSTEM STRUCTURE AND ALGORITHM DESIGN
Authors:MA Yong  YANG Yu-pu  ZHANG Wei-dong  XU Xiao-ming
Abstract:A stable control scheme for a class of unknown nonlinear systems was presented. The control architecture is composed of two parts, the fuzzy sliding mode controller (FSMC) is applied to drive the state to a designed switching hyperplane, and a reinforcement self organizing fuzzy CPN (RSOFCPN) as a feedforward compensator is used to reduce the influence of system uncertainties. The simulation results demonstrate the effectiveness of the proposed control scheme.
Keywords:nonlinear systems  fuzzy sliding mode control  self  organized CPN  reinforcement learning  Document code:A
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