Nonfragile fuzzy tracking control for nonlinear systems with input and output dynamic quantization

被引：0
作者：
Li, Zhi-Min [1 ,2 ]
Qi, Jianling [1 ,2 ]
Liu, Guobao [3 ]
机构：
[1] North China Inst Aerosp Engn, Sch Elect & Control Engn, Langfang 065000, Peoples R China
[2] North China Inst Aerosp Engn, Hebei Engn Res Ctr Assembly & Inspect Robot, Langfang 065000, Peoples R China
[3] Nanjing Normal Univ, Sch Elect & Automat, Nanjing 210046, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
基金：
中国国家自然科学基金;
关键词：
Nonlinear systems; T-S fuzzy systems; Dynamic quantization; Nonfragile H-infinity tracking control; Linear matrix inequality (LMI); NETWORKED CONTROL-SYSTEMS; FEEDBACK; STABILIZATION; DESIGN; MODEL;
D O I：
暂无
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 investigates the nonfragile H-infinity output feedback tracking control problem for a class of nonlinear systems with input and output dynamic quantization based on T-S fuzzy model approach. The measurement output and the control input signals will be quantized by dynamic quantizers before them being transmitted to the controller and the actuator, respectively. The attention of this paper is focused on the design of the observer-based nonfragile H-infinity output feedback tracking controller to asymptotically stabilize the nonlinear system and achieve the prescribed H-infinity tracking performance according to linear matrix inequality (LMI) technology. Simulation results are provided to show the effectiveness of the developed design method.
引用
收藏
页码：2477 / 2482
页数：6
相关论文
共 50 条
[41]   Dynamic output-feedback guaranteed cost control for linear systems with uniform input quantization [J].
Yun, Sung Wook ;
Choi, Yun Jong ;
Park, PooGyeon .
NONLINEAR DYNAMICS, 2010, 62 (1-2) :95-104
[42]   Fuzzy Tracking Control for Discrete-Time Nonlinear Network Systems with Privacy Protection and Dynamic Quantization [J].
Mingquan Li ;
Xiaoheng Chang .
International Journal of Fuzzy Systems, 2023, 25 :1227-1238
[43]   Full State Constrained Adaptive Fuzzy Control for Stochastic Nonlinear Switched Systems With Input Quantization [J].
Wang, Zheng ;
Yuan, Jianping .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (04) :645-657
[44]   Output feedback NN tracking control for fractional-order nonlinear systems with time-delay and input quantization [J].
Hua, Changchun ;
Ning, Jinghua ;
Zhao, Guanglei ;
Li, Yafeng .
NEUROCOMPUTING, 2018, 290 :229-237
[45]   Output Feedback Control of Linear Systems with Input and Output Quantization [J].
Coutinho, Daniel ;
Fu, Minyue ;
de Souza, Carlos E. .
47TH IEEE CONFERENCE ON DECISION AND CONTROL, 2008 (CDC 2008), 2008, :4706-4711
[46]   Input estimation for output tracking in nonlinear systems [J].
George, Koshy .
2006 9TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1- 5, 2006, :250-255
[47]   Predefined-time adaptive fuzzy control of pure-feedback nonlinear systems under input and output quantization [J].
Lu, Xinyi ;
Wang, Fang .
NONLINEAR DYNAMICS, 2024, 112 (20) :18219-18234
[48]   Fuzzy robust dynamic output feedback control of nonlinear systems with linear fractional parametric uncertainties [J].
Chang, Xiao-Heng ;
Xiong, Jun ;
Park, Ju H. .
APPLIED MATHEMATICS AND COMPUTATION, 2016, 291 :213-225
[49]   Adaptive output feedback tracking control of stochastic nonlinear systems with dynamic uncertainties [J].
Zhang, Tianping ;
Xia, Xiaonan .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2015, 25 (09) :1282-1300
[50]   Adaptive asymptotic tracking control of uncertain nonlinear system with input quantization [J].
Lai, Guanyu ;
Liu, Zhi ;
Chen, C. L. Philip ;
Zhang, Yun .
SYSTEMS & CONTROL LETTERS, 2016, 96 :23-29
12345