Fuzzy Adaptive Two-Bit-Triggered Control for a Class of Uncertain Nonlinear Systems With Actuator Failures and Dead-Zone Constraint

被引:74
作者
Zhang, Chunliang [1 ]
Chen, Zicong [2 ]
Wang, Jianhui [1 ]
Liu, Zhi [2 ]
Chen, C. L. Philip [3 ]
机构
[1] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Peoples R China
[2] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
[3] Univ Macau, Fac Sci & Technol, Dept Comp & Informat Sci, Macau, Peoples R China
关键词
Actuators; Adaptive systems; Nonlinear systems; Control design; Backstepping; Stability analysis; Actuator failures; backstepping technology; dead-zone constraint; fuzzy-logic systems (FLSs); two-bit-triggered control; OUTPUT-FEEDBACK CONTROL; TRACKING CONTROL; STABILIZATION; DESIGN;
D O I
10.1109/TCYB.2020.2970736
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 article investigates a fuzzy adaptive two-bit-triggered control for uncertain nonlinear systems with actuator failures and dead-zone constraint. Actuator failures and dead-zone constraint exist frequently in practical systems, which will affect the system performance greatly. Based on the improved fuzzy-logic systems (FLSs), a fuzzy adaptive compensation control is established to address these issues. The approximation error is introduced to the control design as a time-varying function. In addition, for the limited transmission resources of the practical system, a two-bit-triggered control mechanism is proposed to further save system transmission resources. It is proved that the proposed method can guarantee the system tracking performance and all the signals are bounded. Its effectiveness is verified by the simulation examples.
引用
收藏
页码:210 / 221
页数:12
相关论文
共 45 条
[1]   Self-Triggered Output Feedback Control of Linear Plants in the Presence of Unknown Disturbances [J].
Almeida, Joao ;
Silvestre, Carlos ;
Pascoal, Antonio M. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (11) :3040-3045
[2]  
[Anonymous], 2019, SCI REP-UK, DOI DOI 10.1038/S41598-018-37186-2
[3]   Augmented stable fuzzy control for flexible robotic arm using LMI approach and neuro-fuzzy state space modeling [J].
Chatterjee, Amitava ;
Chatterjee, Ranajit ;
Matsuno, Fumitoshi ;
Endo, Takahiro .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2008, 55 (03) :1256-1270
[4]   A Fuzzy Adaptive Tracking Control for MIMO Switched Uncertain Nonlinear Systems in Strict-Feedback Form [J].
Cui, Yang ;
Zhang, Huaguang ;
Wang, Yingchun ;
Jiang, He .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 27 (12) :2443-2452
[5]   Adaptive periodic servo-system for nonlinear control-affine objects [J].
Eremin E.L. ;
Shelenok E.A. .
Optoelectronics, Instrumentation and Data Processing, 2015, 51 (05) :523-529
[6]  
Gil R. P. A., 2018, INT J ARTIFICIAL INT, V16, P20
[7]   Self-triggered linear quadratic control [J].
Gommans, Tom ;
Antunes, Duarte ;
Donkers, Tijs ;
Tabuada, Paulo ;
Heemels, Maurice .
AUTOMATICA, 2014, 50 (04) :1279-1287
[8]  
Haidegger T., 2016, INT J ARTIF INTELL, V6, P48
[9]   Adaptive control for a class of MIMO nonlinear time delay systems against time varying actuator failures [J].
Hashemi, Mahnaz ;
Ghaisari, Jafar ;
Askari, Javad .
ISA TRANSACTIONS, 2015, 57 :23-42
[10]   Boundary control of a Timoshenko beam system with input dead-zone [J].
He, Wei ;
Meng, Tingting ;
Liu, Jin-Kun ;
Qin, Hui .
INTERNATIONAL JOURNAL OF CONTROL, 2015, 88 (06) :1257-1270