Fuzzy Adaptive Decentralized Control for Nonlinear Systems with Unknown High-Frequency Gain Sign Based on K- Filter
In this paper, a fuzzy adaptive decentralized control approach is proposed for a class of large-scale nonlinear systems with unknown high-frequency gain sign, unknown nonlinearities, and the output measurement. In the backstepping recursive design, fuzzy logic systems are employed to approximate the unknown nonlinear function, and Nussbaum gain technique is taken to solve the unknown high-frequency gain sign. It is proved that the proposed fuzzy adaptive decentralized control scheme can guarantee that all the signals in the closed-loop system are uniformly ultimately bounded(UUB). Simulation results have shown the effectiveness of the proposed method.
Fuzzy Adaptive Decentralized Control Large-scale Nonlinear Systems High-frequency Gain Backstepping K- filter Stability
Changliang Liu Shaocheng Tong
Liaoning University of Technology, Jinzhou, Liaoning 121000, China
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
1576-1581
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）