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Event-triggered robust adaptive control for discrete time uncertain systems with unmodelled dynamics and disturbances

机译:具有未建模动力学和扰动的离散时间不确定系统的事件触发鲁棒自适应控制

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摘要

In practice, modelling errors caused by high-order unmodelled dynamics and external disturbances are unavoidable. How to ensure the robustness of an adaptive controller with respect to such modelling errors is always a critical concern. In this study, the authors consider the design of event-triggered robust adaptive control for a class of discrete-time uncertain systems which involve such modelling errors and also are allowed to be non-minimum phase. Unlike some existing event-triggered control schemes, the developed controllers do not require that the measurement errors meet the corresponding input-to-state stable condition. Global stability of the closed-loop system which means that all the signals are bounded is established in the presence of unmodelled dynamics and disturbances. Besides, in contrast to existing robust adaptive schemes, the designed adaptive controller does not involve parameters related to unmodelled dynamics and disturbances which are difficult to be chosen for ensuring such stability. An example is given to verify the effectiveness of the proposed control strategy.
机译:实际上,由高阶未建模动力学和外部干扰引起的建模错误是不可避免的。如何确保自适应控制器针对此类建模误差的鲁棒性始终是一个关键问题。在这项研究中,作者考虑了针对一类离散时间不确定系统的事件触发鲁棒自适应控制的设计,该系统涉及此类建模误差,并且也允许处于非最小相位。与某些现有的事件触发控制方案不同,已开发的控制器不需要测量误差满足相应的输入到状态稳定条件。闭环系统的全局稳定性(意味着所有信号都受限制)是在存在未建模的动力学和干扰的情况下建立的。此外,与现有的鲁棒自适应方案相比,所设计的自适应控制器不涉及与未建模的动力学和扰动有关的参数,这些参数难以选择以确保这种稳定性。通过实例验证了所提出控制策略的有效性。

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