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Robust control for a class of uncertain nonlinear systems: adaptive fuzzy approach based on backstepping

机译:一类不确定非线性系统的鲁棒控制:基于反演的自适应模糊方法

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摘要

A robust adaptive fuzzy control design approach is developed for a class of multivariable nonlinear systems with modeling uncertainties and external disturbances. The controller design for the overall systems has been carried out through a number of simpler controller designs for a series of the relevant auxiliary systems based on the backstepping design technique. For each auxiliary system, an adaptive fuzzy logic system is introduced to iearn the behavior of unknown dynamics, and then a robust control algorithm is employed to efficiently compensate the approximation error and the external disturbances as well. It is shown that the resulting closed-loop systems guarantee a satisfactory transient and asymptotic performance. A simulation example is also presented to illustrate the design procedure and controller performance.
机译:针对一类具有建模不确定性和外部干扰的多变量非线性系统,开发了一种鲁棒的自适应模糊控制设计方法。整个系统的控制器设计是通过基于backstepping设计技术的一系列相关辅助系统的许多较简单的控制器设计完成的。对于每个辅助系统,引入自适应模糊逻辑系统以了解未知动力学的行为,然后采用鲁棒控制算法来有效补偿近似误差和外部干扰。结果表明,所得的闭环系统保证了令人满意的瞬态和渐近性能。还给出了一个仿真示例,以说明设计过程和控制器性能。

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