Data-Driven Control for Discrete-Time Nonlinear Systems With Dual-Channel Dynamic Event-Triggered Mechanism

被引：11
作者：
Chen, Guangjun [1 ]
Dong, Jiuxiang [2 ,3 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] Northeastern Univ, Coll Informat Sci & Engn, State Key Lab Synthet Automat Proc Ind, Minist Educ China, Shenyang 110819, Peoples R China
[3] Northeastern Univ, Key Lab Vibrat & Control Aeroprop Syst, Minist Educ China, Shenyang 110819, Peoples R China
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2023年 / 70卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Data-driven; linear data model; dynamic event-triggered; dual channel triggered;
D O I：
10.1109/TCSII.2023.3285769
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The problem of data-driven control (DDC) for nonlinear systems with dual-channel event-triggering is investigated in this brief. First, the nonlinear system is converted into a dynamic linearized data model using the local dynamic linearization techniques. Then, a new dual-channel triggered control framework is designed based on the transformed linearized data model, and semi-independent dynamic event-triggered strategies are designed for the two channels of control input and measurement output. Different from the traditional single-channel event triggered, the main advantages of the proposed control strategy are that the input and output channels are semi-independently triggered, and it can accomplish the tracking control objectives by relying only on the input and output data of the system, and reducing the communication frequency of the input and output channels while ensuring stability. Finally, the effectiveness of the developed dual-channel event-triggered control strategy is verified by the application experiments.
引用
收藏
页码：4439 / 4443
页数：5
相关论文
共 22 条
[1]   Integrated Network-Based Model Predictive Control for Setpoints Compensation in Industrial Processes [J].
Chai, Tianyou ;
Zhao, Lin ;
Qiu, Jianbin ;
Liu, Fangzhou ;
Fan, Jialu .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2013, 9 (01) :417-426
[2]   Probabilistic Event-Triggered Policy for Extended Dissipative Finite-Time Control of MJS']JSs under Cyber-Attacks and Actuator Failures [J].
Chen, Haiyang ;
Zong, Guangdeng ;
Gao, Fangzheng ;
Shi, Yang .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, 68 (12) :7803-7810
[3]   Active Disturbance Rejection Control for Nonaffined Globally Lipschitz Nonlinear Discrete-Time Systems [J].
Chi, Ronghu ;
Hui, Yu ;
Huang, Biao ;
Hou, Zhongsheng .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 66 (12) :5955-5967
[4]   Dynamic Triggering Mechanisms for Event-Triggered Control [J].
Girard, Antoine .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (07) :1992-1997
[5]   From model-based control to data-driven control: Survey, classification and perspective [J].
Hou, Zhong-Sheng ;
Wang, Zhuo .
INFORMATION SCIENCES, 2013, 235 :3-35
[6]   An Overview of Dynamic-Linearization-Based Data-Driven Control and Applications [J].
Hou, Zhongsheng ;
Chi, Ronghu ;
Gao, Huijun .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (05) :4076-4090
[7]   A Novel Data-Driven Control Approach for a Class of Discrete-Time Nonlinear Systems [J].
Hou, Zhongsheng ;
Jin, Shangtai .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2011, 19 (06) :1549-1558
[8]   Event-Triggered Model-Free Adaptive Control [J].
Lin, Na ;
Chi, Ronghu ;
Huang, Biao .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (06) :3358-3369
[9]   Neural network-based event-triggered MFAC for nonlinear discrete-time processes [J].
Liu, Dong ;
Yang, Guang-Hong .
NEUROCOMPUTING, 2018, 272 :356-364
[10]   A Novel Dual Successive Projection-Based Model-Free Adaptive Control Method and Application to an Autonomous Car [J].
Liu, Shida ;
Hou, Zhong-Sheng ;
Tian, Taotao ;
Deng, Zhidong ;
Li, Zhenxuan .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 30 (11) :3444-3457
123