Studying the transient process of an intermittent control system from its response property

被引:1
作者
Hu, Jianbing [1 ]
Li, Shuguang [1 ,2 ,3 ]
Jin, Zhe [1 ,2 ,3 ]
Chao, Xiaochao [1 ,2 ,3 ]
机构
[1] Zhejiang Univ Sci & Technol, Sch Automat & Elect Engn, Hangzhou 310023, Peoples R China
[2] Zhejiang Prov Ind Inst Robot, Hangzhou 310023, Peoples R China
[3] State Ind Inst Robot, Hangzhou 310023, Peoples R China
来源
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2024年 / 139卷
基金
中国国家自然科学基金;
关键词
Intermittent control; Response property; Unit step function; Transient process; SYNCHRONIZATION; NETWORKS;
D O I
10.1016/j.cnsns.2024.108309
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
As we all know, the output of a system is affected by its input and response properties. When the input switches, there must exist a transient process in the output and this transient process is different for different systems due to their different response properties and different dynamic process. However, the response property and dynamic process have rarely been studied in the obtained achievements about the transient process of an intermittent control system. The obtained achievements cannot agree with the real physical process and cannot be applied to study the transient process in engineering. By introducing the unit step function and taking the intermittent input signal as a piecewise signal, we have studied the transient process. Our research shows that the transient process is related to the response characteristics, historical dynamic information, and control parameters, which agrees well with the real system and can be applied to analyze and optimize the transient process in engineering. Some examples in our paper verify our theoretical achievements.
引用
收藏
页数:11
相关论文
共 26 条
[1]   Quasi-synchronization of fractional-order heterogeneous dynamical networks via aperiodic intermittent pinning control [J].
Cai, Shuiming ;
Hou, Meiyuan .
CHAOS SOLITONS & FRACTALS, 2021, 146
[2]   Finite-time tracking control of heterogeneous multi-AUV systems with partial measurements and intermittent communication [J].
Chen, Bo ;
Hu, Jiangping ;
Ghosh, Bijoy Kumar .
SCIENCE CHINA-INFORMATION SCIENCES, 2024, 67 (05)
[3]  
Hu JB, 2019, NONLINEAR DYNAM, V98, P2423, DOI 10.1007/s11071-019-05326-6
[4]   Exponential stability for nonlinear fractional order sampled-data control systems with its applications * [J].
Huang, Conggui ;
Wang, Fei ;
Zheng, Zhaowen .
CHAOS SOLITONS & FRACTALS, 2021, 151 (151)
[5]   Finite-time synchronization of fractional-order memristive neural networks via feedback and periodically intermittent control [J].
Hui, Meng ;
Wei, Chen ;
Zhang, Jiao ;
Iu, Herbert Ho-Ching ;
Yao, Rui ;
Bai, Lin .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2023, 116
[6]   Synchronization of fractional-order complex dynamical networks via periodically intermittent pinning control [J].
Li, Hong-Li ;
Hu, Cheng ;
Jiang, Haijun ;
Teng, Zhidong ;
Jiang, Yao-Lin .
CHAOS SOLITONS & FRACTALS, 2017, 103 :357-363
[7]   Mittag-Leffler stabilization for short memory fractional reaction-diffusion systems via intermittent boundary control * [J].
Li, Xing -Yu ;
Wu, Kai-Ning ;
Liu, Xiao-Zhen .
APPLIED MATHEMATICS AND COMPUTATION, 2023, 449
[8]   Exponential synchronization of complex networks via intermittent dynamic event-triggered control [J].
Liu, Xiaotong ;
Guo, Ying ;
Li, Mingzhu ;
Zhang, Yifan .
NEUROCOMPUTING, 2024, 581
[9]   Adaptive event-triggered control for stability of fractional-order T-S fuzzy multi-links complex networks with random coupling delay [J].
Liu, Xin ;
Chen, Lili ;
Zhao, Yanfeng ;
Li, Honglin .
CHAOS SOLITONS & FRACTALS, 2023, 176
[10]  
Oppenheim AV, Essentials of Management Information Systems Managing the Digital Firm