Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays - Liu, Yurong; Wang, Zidong; Liang, Jinling; Liu, Xiaohui (IEEE transactions on neural networks, 2009)
Keywords: Algorithms; Applied sciences; Artificial Intelligence; Biological neural networks; Computer science; control theory; systems; Computer Simulation - trends; Connectionism. Neural networks; Councils; Delay effects; Discrete-time neural networks (DNNs); Exact sciences and technology; Jumping; Linear matrix inequalities; linear matrix inequality; Linear Models; Lyapunov method; Markov Chains; Markovian jumping parameters; Mathematical Computing; Mathematical models; Mathematics; mixed time delays; Neural networks; Neural Networks (Computer); Software; Software Validation; Stability; Stability analysis; Stochastic Processes; stochastic stability; Sufficient conditions; Synchronism; Synchronization; Time delay; Time Factors; Markov process; Mode coupling; Anonymity; Lyapunov method; Kronecker product; Stochastic stability; Neural network; Synchronization; Delay; Markov chain; Time dependence; mixed time delays; Discrete time; Linear matrix inequality; Markovian jumping parameters; Matrix method; Delay time; Discrete-time neural networks (DNNs); Jumping; Computer security; Lyapunov function