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Finite-Time H ∞ State Estimation for Markovian Jump Neural Networks with Time-Varying Delays via an Extended Wirtinger's Integral Inequality
2021
Mathematical Problems in Engineering
This study investigates the finite-time boundedness for Markovian jump neural networks (MJNNs) with time-varying delays. An MJNN consists of a limited number of jumping modes wherein it can jump starting with one mode then onto the next by following a Markovian process with known transition probabilities. By constructing new Lyapunov–Krasovskii functional (LKF) candidates, extended Wirtinger's, and Wirtinger's double inequality with multiple integral terms and using activation function
doi:10.1155/2021/5558955
fatcat:bzmupoacw5hkfasskqoh4cffte