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中文摘要：
针对不确定严格反馈块控非线性系统，提出了一种简化的鲁棒自适应模糊动态面控制方法。利用T—S模糊系统在线逼近系统的不确定及外界干扰，简化自适应参数调整方法，解决了动态面控制自适应参数过多的问题。基于Lyapunov方法及小增益理论证明了闭环系统半全局一致最终有界。该方法设计的控制器复杂性低且具有最少的在线调整自适应参数，易于工程实现。最后对所提出的方法进行了某推力矢量战斗机的Herbst机动仿真，结果表明了方法的有效性。
英文摘要：
A simplified robust adaptive fuzzy dynamic surface control approach is presented for a general class of strict-block-feedback uncertain nonlinear systems whose uncertainties and disturbances are approximated on line by T-S fuzzy systems. The adjusting mechanism of adaptive parameters is simplified to avoid the determination of too many parameters. All signals in the closed-loop system are proved to be semiglobally uniformly ultimately bounded by the Lyapunov method combined with the small gain approach. As a result, the controller designed by this approach has lower complexity and minimum adaptive parameters to be tuned on line. Herbst maneuver simulation results for a fighter with thrust vector demonstrate the effectiveness and robustness of the proposed control scheme.
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