Synchronization Control of Riemann-Liouville Fractional Competitive Network Systems with Time-varying Delay and Different Time Scales

被引:23
作者
Zhang, Hai [1 ]
Ye, Miaolin [1 ]
Cao, Jinde [2 ,3 ,4 ,5 ]
Alsaedi, Ahmed [6 ]
机构
[1] Anqing Normal Univ, Sch Math & Computat Sci, Anqing 246133, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China
[3] Southeast Univ, Res Ctr Complex Syst & Network Sci, Nanjing 210096, Jiangsu, Peoples R China
[4] Nantong Univ, Sch Elect Engn, Nantong 226000, Peoples R China
[5] Shandong Normal Univ, Sch Math Sci, Jinan 250014, Shandong, Peoples R China
[6] King Abdulaziz Univ, Nonlinear Anal & Appl Math Res Grp, Fac Sci, Jeddah 21589, Saudi Arabia
关键词
Delay-partitioning approach; fractional competitive neural networks; Lyapunov functional method; synchronization control; time scales; time-varying delay; NONIDENTICAL CHAOTIC SYSTEMS; VALUED NEURAL-NETWORKS; STABILITY ANALYSIS;
D O I
10.1007/s12555-017-0371-0
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 is concerned with a class of Riemann-Liouville fractional-order competitive neural networks with time-varying delay and different time scales. Based on delay-partitioning approach, we construct two suitable Lyapunov functionals including fractional integral terms, respectively, and avoid computing their fractional-order derivatives to derive the synchronization conditions. The sufficient conditions are proposed to ensure the complete synchronization between fractional-order response system and fractional-order derive system. By solving the algebraic equalities or linear matrix inequalities (LMIs), the design of the gain matrix of the linear feedback controller can be realized. An illustrative example is also presented to show the validity and feasibility of the theoretical results.
引用
收藏
页码:1404 / 1414
页数:11
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