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State observer based indirect adaptive fuzzy tracking control

机译:基于状态观测器的间接自适应模糊跟踪控制

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摘要

An observer based adaptive fuzzy controller for a certain class of unknown nonlinear systems is proposed in this paper. The, proposed approach employs a fuzzy system to approximate the unknown nonlinear functions in designing the adaptive controller and an observer is designed to generate an error signal for the adaptive law, Moreover, a robust H{sup}∞ control law is obtained by solving a modified Riccati-like equation in order to compensate the effect of the approximated error and external disturbance of the system. It is proved that the overall adaptive scheme guarantees the global asymptotic stability in the Lyapunov sense if all the signals involved are uniformly bounded. Simulation studies show that the proposed controller performs well and exhibits good performance.
机译:针对某类未知非线性系统,提出了一种基于观测器的自适应模糊控制器。所提出的方法在设计自适应控制器时采用模糊系统来近似未知的非线性函数,并设计了一个观察器来生成自适应律的误差信号,此外,通过求解一个鲁棒的H {sup}∞控制律,修改了类似Riccati的方程,以补偿近似误差和系统外部干扰的影响。实践证明,如果所有信号都统一有界,那么总体自适应方案就可以在李雅普诺夫意义上保证全局渐近稳定性。仿真研究表明,所提出的控制器具有良好的性能和良好的性能。

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