TY - GEN
T1 - Controller Design for Neutral Networks with Markov Jumps and a New Method for Exponential Stability Analysis
AU - Ning, Deyong
AU - Lu, Hongqian
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This study examines neutral neural network systems with Markov jump (MJNNNs)' mean square exponential stability. When discussing the stochastic catastrophe problem in complicated systems, Markov jump is crucial. First, a simple Lyapunov Krasovskii functional (LKF) containing sufficient system information is established, the GFWM-based inequality and other integral inequalities, a movable parameter, and enough random vectors are then used to calculate a single integral term in the derivative of the built LKF.
AB - This study examines neutral neural network systems with Markov jump (MJNNNs)' mean square exponential stability. When discussing the stochastic catastrophe problem in complicated systems, Markov jump is crucial. First, a simple Lyapunov Krasovskii functional (LKF) containing sufficient system information is established, the GFWM-based inequality and other integral inequalities, a movable parameter, and enough random vectors are then used to calculate a single integral term in the derivative of the built LKF.
KW - Controller design
KW - GWFM-based inequality
KW - Markov jump
KW - Neutral neural network
KW - Stable mean square index
UR - https://www.scopus.com/pages/publications/85200361226
U2 - 10.1109/CCDC62350.2024.10588160
DO - 10.1109/CCDC62350.2024.10588160
M3 - 会议稿件
AN - SCOPUS:85200361226
T3 - Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024
SP - 5196
EP - 5200
BT - Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 36th Chinese Control and Decision Conference, CCDC 2024
Y2 - 25 May 2024 through 27 May 2024
ER -