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Adaptive control of the ODE systems with uncertain diffusion-dominated actuator dynamics

机译:具有不确定的扩散主导致动器动力学的ODE系统的自适应控制

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This article is concerned with the adaptive stabilising control design for the ordinary differential equation systems with uncertain diffusion-dominated actuator dynamics. This problem is highly difficult to solve and worthy of investigation, mainly due to the unknown diffusion coefficient which does not belong to any known finite interval and essentially different from the existing literature. By introducing an infinite-dimensional backstepping transformation, the pivotal target system is thus obtained, which makes the control design and stability analysis become more convenient. Then, based on the idea of certainty equivalence principle and recently developed adaptive technique, an adaptive stabilising controller is successfully constructed, which guarantees that all the closed-loop system states are bounded while the original system states converge to zero. A simulation example is presented to illustrate the effectiveness of the proposed method.
机译:本文涉及具有不确定的扩散控制执行器动力学的常微分方程系统的自适应稳定控制设计。这个问题很难解决,值得研究,这主要是由于未知的扩散系数不属于任何已知的有限区间,并且与现有文献有本质区别。通过引入无穷大的反步变换,可以得到关键的目标系统,使控制设计和稳定性分析变得更加方便。然后,基于确定性等价原理的思想和最新开发的自适应技术,成功构造了自适应稳定控制器,该控制器可确保所有闭环系统状态都处于有界状态,而原始系统状态收敛于零。仿真例子说明了所提方法的有效性。

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