We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Finite-time synchronization control for uncertain Markov jump neural networks with input constraints.
- Authors
Shen, Hao; Park, Ju; Wu, Zheng-Guang
- Abstract
This paper is concerned with the problem of finite-time synchronization control for uncertain Markov jump neural networks in the presence of constraints on the control input amplitude. The parameter uncertainties under consideration are assumed to belong to a fixed convex polytope. By using a parameter-dependent Lyapunov functional and a simple matrix decoupling method, a sufficient condition is proposed to ensure that the considered networks are stochastically synchronized over a finite-time interval. The desired mode-independent controller parameters can be computed via solving a convex optimization problem. Finally, two chaos neural networks are employed to demonstrate the effectiveness of our proposed approach.
- Subjects
SYNCHRONIZATION; NEURAL circuitry; CONVEX polytopes; LYAPUNOV functions; BIOLOGICAL neural networks; SIGNAL processing
- Publication
Nonlinear Dynamics, 2014, Vol 77, Issue 4, p1709
- ISSN
0924-090X
- Publication type
Article
- DOI
10.1007/s11071-014-1412-3