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Discrete-Time II Adaptive Control for a Class of Uncertain Port-Controlled Hamiltonian Systems

机译:一类不确定端口控制的哈密顿系统的离散时间I&I自适应控制

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In this paper, we presented a discrete-time adaptive Passivity Based Control (PBC) for linearly parametrized port-controlled Hamiltonian systems with additive uncertainty. For the parameter estimation we exploited the Immersion and Invariance approach to achieve an automatic tuning for the designed PBC controller. The locally asymptotic stability of the closed loop system under PBC control with proposed parameter estimator is shown using Lyapunov theory. Simulations are carried out to test performance of proposed adaptive control method. Results illustrates that the estimator successfully estimates the uncertain parameters and the PBC utilizing this parameters stabilizes the closed loop system and preserve the performance of certainty equivalent controller.
机译:在本文中,我们针对具有加法不确定性的线性参数化端口控制哈密顿系统,提出了一种基于离散时间的自适应无源控制(PBC)。对于参数估计,我们利用“浸入和不变”方法为设计的PBC控制器实现了自动调整。利用李雅普诺夫理论,给出了带有参数估计器的PBC控制下闭环系统的局部渐近稳定性。通过仿真对所提出的自适应控制方法的性能进行了测试。结果表明,估计器成功地估计了不确定性参数,并且利用该参数的PBC稳定了闭环系统并保留了确定性等效控制器的性能。

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