Chen, Xi (Wuhan University of Science and Technology), Zhu, Lijun (University of Hong Kong), Chai, Li (Wuhan University of Science and Technology), Yi, Jingwen (Wuhan University of Science and Technology)

Sampled-Data Input-To-Output Stabilization of Nonlinear System with Dynamic Uncertainties

Scheduled for presentation during the Regular Session "Hybrid Systems and Complex Systems" (MoCOr), Monday, December 18, 2017, 13:45−14:00, Room 7

2017 Australian and New Zealand Control Conference, December 17-20, 2017, Gold Coast Convention Centre, Australia

This information is tentative and subject to change. Compiled on April 19, 2024

Abstract

Input-to-output stabilization (IOS) problem with a specified gain arises from the synchronization of the networked systems. The approach for solving this problem is to establish a recursive procedure to calculate the gain from the external input to the state and the output. However, in sampled-data scenario, the aforementioned problem becomes more challenging particularly for systems with dynamic uncertainties, since the input-to-output property will be affected by the sampling phenomenon and especially sampling on dynamic uncertainties. In order to calculate the IOS gain for a sampled-data system, we have to develop a more complicated recursive procedure for which both the disturbance and the so-called sampling error term are viewed as the external input. Finally, the sampling period must be selected carefully to guarantee the IOS property for sampled-data control.