Event-triggered feedback stabilization of switched linear systems using dynamic quantized input |
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Institution: | 1. College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, Jiangsu 210023, China;2. Institute of Information and Control Engineering Technology, Nanjing Normal University, Nanjing, Jiangsu 210042, China |
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Abstract: | This paper is concerned with the co-design of event-triggered sampling, dynamic input quantization and constrained switching for a switched linear system. The mismatch between the plant and its corresponding controller is considered. This behavior is raised by switching within the event-triggered sampling interval. Accordingly, novel update laws of dynamic quantization parameter are designed separately for matched sampling intervals (without switching) and mismatched sampling intervals (with a switch). We technically transform the total variation (increment or decrement) of Lyapunov functions in one sampling interval into the discrete-time update of quantization parameter. Based on this transformation, a hybrid quantized control policy is developed. This policy, in conjunction with the average dwell-time switching law and the constructed event-triggered condition, can ensure the exponential stabilization of the switched system with finite-level quantized input. Besides, the event-triggered scheme is proved to be Zeno-free. The effectiveness of the developed method is verified by a simulation example. |
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Keywords: | Dynamic quantization Event-triggered sampling Exponential stabilization Switched systems |
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