Synchronization Control of Riemann-Liouville Fractional Competitive Network Systems with Time-varying Delay and Different Time Scales
- 1. Anqing Normal University, School of Mathematics and Computation Science (China)
- 2. Southeast University, School of Mathematics, and Research Center for Complex Systems and Network Sciences (China)
- 3. King Abdulaziz University, Nonlinear Analysis and Applied Mathematics Research Group, Faculty of Science (Saudi Arabia)
Description
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.
Additional details
Identifiers
Publishing Information
- Journal Title
- International Journal of Control, Automation and Systems
- Journal Volume
- 16
- Journal Issue
- 3
- Journal Page Range
- p. 1404-1414
- ISSN
- 1598-6446
INIS
- Country of Publication
- Korea, Republic of
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 50019673
- Subject category
- S42: ENGINEERING;
- Descriptors DEI
- CONTROL; DESIGN; FEEDBACK; FUNCTIONALS; GAIN; LYAPUNOV METHOD; MATRICES; NEURAL NETWORKS; SYNCHRONIZATION
- Descriptors DEC
- AMPLIFICATION; CALCULATION METHODS; FUNCTIONS
Optional Information
- Copyright
- Copyright (c) 2018 Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature