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Fuzzy Approximation Based Asymptotic Tracking Control for a Class of Uncertain Switched Nonlinear Systems

机译:基于模糊的基于渐近渐近跟踪控制的一类不确定的开关非线性系统

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摘要

The problem of asymptotic tracking control for a class of uncertain switched nonlinear systems under fuzzy approximation framework is solved in this paper. Superior to most existing results based on fuzzy adaptive control strategy that can only achieve bounded error tracking performance, our proposed control scheme can guarantee the local asymptotic tracking performance for the uncertain switched nonlinear systems under consideration. This is accomplished by constructing a nonsmooth Lyapunov function and introducing a novel discontinuous controller with dynamic feedback compensator in the design procedure. Meanwhile, some concepts, such as differential inclusion and set-valued map, are introduced to theoretically verify the local asymptotic tracking performance of the systems with our proposed controller. With the help of set-valued Lie derivative, the common virtual control functions, the desired controller, and the adaptive laws can be precisely constructed. Finally, simulation results are given to show the effectiveness of the proposed method.
机译:本文解决了模糊近似框架下一类不确定开关非线性系统的渐近跟踪控制问题。优越于基于模糊自适应控制策略的最现有的结果,只能实现有界误差跟踪性能,我们所提出的控制方案可以保证所考虑的不确定开关非线性系统的局部渐近跟踪性能。这是通过在设计过程中构造非现象Lyapunov函数并引入具有动态反馈补偿器的新型不连续控制器来实现的。同时,引入了一些概念,例如差分包容和集值地图,以理论上验证了与所提出的控制器系统的本地渐近跟踪性能。借助于设定值的谎言衍生物,可以精确地构建公共虚拟控制功能,所需的控制器和自适应定律。最后,给出了仿真结果表明所提出的方法的有效性。

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