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Event-Triggered Sliding Mode Control of Uncertain Switched Systems via Hybrid Quantized Feedback

机译:通过混合量化反馈通过混合切换系统的事件触发的滑动模式控制

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摘要

This article is concerned with the sliding mode control (SMC) for stabilizing a switched linear system with external disturbances and uncertain nonlinearities. The state sampling is implemented by an event-triggered mechanism (ETM) and the sampled data are transmitted through a limited-bandwidth digital channel. The main challenge of such a work comes from the quantizer saturation and quantization error in the SMC design with finite-level quantization and the mismatched control caused by the switch and event-triggered sampling. To solve the above problem, we at first present an ETM and a limited-information-based SMC law. Then, a new discrete-time level-sets method is proposed to develop the dynamic quantization policy (DQP). If the disturbance bound is known, the DQP can avoid the quantizer saturation without the need of online detection. A switching law and quantization parameter conditions are provided to ensure the convergence of the state trajectory. At last, the result is generalized to the unknown bound of disturbance. The limited-information control problem of a single-link manipulator is taken as a potential application of the proposed method.
机译:本文涉及用于稳定具有外部干扰和不确定非线性的开关线性系统的滑模控制(SMC)。状态采样由事件触发机制(ETM)实现,并通过有限带宽数字信道发送采样数据。这种作品的主要挑战来自SMC设计中的量化器饱和度和量化误差,具有有限级别量化和由开关和事件触发采样引起的不匹配控制。为了解决上述问题,我们首先存在ETM和基于有限的信息的SMC法。然后,提出了一种新的离散时间级别设置方法来开发动态量化策略(DQP)。如果已知干扰绑定,则DQP可以避免量化器饱和而不需要在线检测。提供了一种切换法和量化参数条件,以确保状态轨迹的收敛性。最后,结果是概括到干扰的未知界限。单链路操纵器的有限信息控制问题被视为所提出的方法的潜在应用。

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