Flexible Robust Control Strategy for Synchronization of Uncertain Non-Linear Systems with Control Input Non-Linearity

被引:0
作者
Mawamba, Vannick Fopa [1 ]
Kammogne, Alain Soup Tewa [1 ]
Kengne, Jacques [2 ]
Siewe, Martin Siewe [3 ]
机构
[1] Univ Dschang, Fac Sci, Unit Rech Matiere Condensee Elect & Traitement Sig, POB 67, Dschang, Cameroon
[2] Univ Dschang, Dept Elect Engn, Unite Rech Automat & Informat Appl LAIA, IUT FV Bandjoun, Dschang, Cameroon
[3] Univ Yaounde I, Fac Sci, Dept Phys, Lab Mech Mat & Struct, POB 812, Yaounde, Cameroon
关键词
Chaos synchronization; finite-time boundedness (FTB); global fuzzy sliding mode control (GFSMC); Linear Matrix Inequalities (LMIs); robust control; SLIDING MODE CONTROL; CHAOS; STABILIZATION;
D O I
10.1142/S0218488523500411
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A robust global fuzzy sliding mode controller is designed in this paper for the synchronization of non-linear systems with control input non-linearities (CIN) and uncertainties. A consistent global fuzzy sliding mode control (GFSMC) law is developed, which guarantees the suppression of the reaching phase and the presence of the sliding phase from the initial time. Chattering phenomenon, which is characteristic of customary sliding mode control (SMC), avoided by the on-line fuzzy regulation of the sliding surface in the controller, when the system is subject to disturbances and CIN. Finite-time boundedness (FTB) properties are designed with adequate conditions, which are entrenched in terms of linear matrix inequalities (LMIs) with the help of cost and Lyapunov functions. Numerical simulations for the synchronization problem of the chaotic modified Colpitt's system and Duffing system clearly show the good performance of the proposed control scheme. The present work provides a regular procedure to design GFSMC for a class of non-linear systems with CIN.
引用
收藏
页码:917 / 936
页数:20
相关论文
共 30 条
[1]  
Al-Talib ZS, 2020, Indonesian Journal of Electrical Engineering and Computer Science, V19, P715, DOI [10.11591/ijeecs.v19.i2.pp715-722, 10.11591/ijeecs.v19.i2.pp715-722, DOI 10.11591/IJEECS.V19.I2.PP715-722]
[2]  
Aysha I., 2020, International Journal of Dynamics and Control, P1
[3]   Adaptive neural-fuzzy and backstepping controller for port-Hamiltonian systems [J].
Azar, Ahmad Taher ;
Serrano, Fernando E. ;
Flores, Marco A. ;
Vaidyanathan, Sundarapandian ;
Zhu, Quanmin .
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2020, 62 (01) :1-12
[4]   Finite-time stochastic boundedness of Markovian jump A-mode-based method [J].
Cao, Zhiru ;
Niu, Yugang .
NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2020, 36
[5]   ADAPTIVE FUZZY SLIDING MODE CONTROL FOR SEISMICALLY EXCITED BRIDGES WITH LEAD RUBBER BEARING ISOLATION [J].
Chen, Cheng-Wu ;
Yeh, Ken ;
Liu, Kevin Fong-Rey .
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2009, 17 (05) :705-727
[6]   Fully distributed spherical formation tracking control for nonlinear vehicles with spatiotemporal uncertainties and digraphs [J].
Chen, Yang-Yang ;
Yu, Rui ;
Zhang, Ya .
NONLINEAR DYNAMICS, 2020, 101 (02) :997-1013
[7]   Synchronisation of chaos and its applications [J].
Eroglu, Deniz ;
Lamb, Jeroen S. W. ;
Pereira, Tiago .
CONTEMPORARY PHYSICS, 2017, 58 (03) :207-243
[8]  
Kammogne A., 2021, Handbook of Research on Modeling, Analysis, and Control of Complex Systems, P364
[9]  
Kammogne S., 2015, International Journal of Engineering Mathematics 2015
[10]   Image Encryption Based on Fuzzy Synchronization of Chaos Systems [J].
Kuo, Chao-Lin ;
Huang, Lung-Chuan ;
Wang, Shun-Jih ;
Lin, Jui-Sheng ;
Wang, Cheng-Chi ;
Yan, Jun-Juh .
2013 IEEE 37TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), 2013, :153-+