Practical stability of continuous-time stochastic nonlinear system via event-triggered feedback control

被引：3
|
作者：
Ma, Weijun [1 ]
Yao, Zhiyi [1 ]
Yang, Bo [1 ]
机构：
[1] Ningxia Univ, Sch Informat Engn, Yinchuan 750021, Ningxia, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2023年 / 360卷 / 03期
基金：
中国国家自然科学基金;
关键词：
TO-STATE STABILITY; GLOBAL EXPONENTIAL STABILITY; ROBUSTNESS ANALYSIS; NEURAL-NETWORKS; STABILIZATION; CRITERIA; MATRIX;
D O I：
10.1016/j.jfranklin.2022.12.018
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper develops new practical stability criteria for continuous-time stochastic nonlinear system with uncertainties and external disturbances. Two cases of the system are considered: the system with state-dependent disturbance and the system with state-independent disturbance. Based on the eventtriggered mechanism and Lyapunov function, we establish the input-to-state practical exponential stability in mean square for each case of the system. The obtained results improve some previous works in the literature. Finally, several examples are given to show the effectiveness and practicability of the main results. (c) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：1733 / 1751
页数：19
相关论文
共 50 条
  • [1] Event-Triggered H∞ Control for Continuous-Time Nonlinear System
    Zhao, Dongbin
    Zhang, Qichao
    Li, Xiangjun
    Kong, Lingda
    ADVANCES IN NEURAL NETWORKS - ISNN 2015, 2015, 9377 : 62 - 70
  • [2] Event-Triggered H∞ Control for Continuous-Time Nonlinear System via Concurrent Learning
    Zhang, Qichao
    Zhao, Dongbin
    Zhu, Yuanheng
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (07): : 1071 - 1081
  • [3] Exponential Stability via Event-triggered Impulsive Control for Continuous-time Dynamical Systems
    Liu, Bin
    Liu, Dong-Nan
    Dou, Chun-Xia
    2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 4056 - 4060
  • [4] Event-Triggered Stabilization for Continuous-Time Stochastic Systems
    Li, Fengzhong
    Liu, Yungang
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 65 (10) : 4031 - 4046
  • [5] Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems
    Sahoo, Avimanyu
    Xu, Hao
    Jagannathan, Sarangapani
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 27 (03) : 497 - 509
  • [6] Event-Triggered Control for Continuous-Time Switched Systems
    Wang, Xin
    Ma, Dan
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 1143 - 1148
  • [7] Event-Triggered Optimal Adaptive Control Algorithm for Continuous-Time Nonlinear Systems
    Kyriakos G.Vamvoudakis
    IEEE/CAA Journal of Automatica Sinica, 2014, 1 (03) : 282 - 293
  • [8] Event-Triggered Optimal Control for a Class of Continuous-Time Switched Nonlinear Systems
    Xiang, Zhengrong
    Li, Pingchuan
    Zou, Wencheng
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2025, 22 : 1620 - 1630
  • [9] Event-triggered optimal adaptive control algorithm for continuous-time nonlinear systems
    Vamvoudakis, Kyriakos G. (kyriakos@ece.ucsb.edu), 1600, Institute of Electrical and Electronics Engineers Inc. (01):
  • [10] Event-triggered robust model predictive control of continuous-time nonlinear systems
    Li, Huiping
    Shi, Yang
    AUTOMATICA, 2014, 50 (05) : 1507 - 1513
12345