title: Mode and delay-dependent adaptive exponential synchronization in pth moment for stochastic delayed neural networks with Markovian switching.
abstract: In this brief, the analysis problem of the mode and delay-dependent adaptive exponential synchronization in th moment is considered for stochastic delayed neural networks with Markovian switching. By utilizing a new nonnegative function and the -matrix approach, several sufficient conditions to ensure the mode and delay-dependent adaptive exponential synchronization in th moment for stochastic delayed neural networks are derived. Via the adaptive feedback control techniques, some suitable parameters update laws are found. To illustrate the effectiveness of the -matrix-based synchronization conditions derived in this brief, a numerical example is provided finally.
authors.forename: Wuneng
authors.initials: W
authors.lastname: Zhou
authors.forename: Dongbing
authors.initials: D
authors.lastname: Tong
authors.forename: Yan
authors.initials: Y
authors.lastname: Gao
authors.forename: Chuan
authors.initials: C
authors.lastname: Ji
authors.forename: Hongye
authors.initials: H
authors.lastname: Su
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005246:Feedback; D008390:Markov Chains; D015233:Models, Statistical; D016571:Neural Networks, Computer; D009991:Oscillometry / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D012815:Signal Processing, Computer-Assisted; D013269:Stochastic Processes