Predictor-based periodic event-triggered control for nonlinear uncertain systems with input delay
journal contributionposted on 2022-11-04, 15:51 authored by Jiankun Sun, Jun YangJun Yang, Zhigang Zeng
In this paper we investigate the problem of predictor-based periodic event-triggered control for a class of nonlinear uncertain systems subject to input delay. When only sampled-data output is available, a novel predictor-based continuous-discrete observer is first designed to estimate system state, and an event-triggered controller is second proposed to globally exponentially stabilize the nonlinear uncertain system. Under the proposed control method, the effects of input delay and sampling of output can be considerably compensated thanks to prediction technique. As a byproduct, the Zeno behavior is avoided in nature since the proposed event-triggering mechanism is detected in the form of discrete-time. Some sufficient stability conditions on maximum allowable sampling period and input delay are presented by using feedback domination technique and small-gain argument.
National Natural Science Foundation of China under Grants U1913602 and 62003144
Research on Active Anti-jamming Distributed Optimal Control of Disrupted Multi-Agent System
National Natural Science Foundation of ChinaFind out more...
Technology Innovation Project of Hubei Province of China under Grant 2019AEA171
National Postdoctoral Program for Innovative Talents of China under Grant BX20200140
Postdoctoral Science Foundation of China under Grant 2020M682415
111 Project on Computational Intelligence and Intelligent Control, China under Grant B18024
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering
- AM (Accepted Manuscript)
Rights holder© Elsevier
Publisher statementThis paper was accepted for publication in the journal Automatica and the definitive published version is available at https://doi.org/10.1016/j.automatica.2021.110055