Periodic self-triggered intermittent sampled-data stabilization for stochastic complex networks

Exponential stabilization of stochastic complex networks with Markovian switching topologies via intermittent discrete-time state observations control

“…It is easy to show that αθ 1 − γ(θ 2 − θ 1 ) < α. Therefore, system (1) converges faster with control (9) than with control (2), which can also be found in the numerical simulation section. However, from the view of control cost, control (2) is more practical and economical than control (9).…”

“…The proof of Theorem 1: 2 and c k denotes the cofactor of the kth diagonal element of the Laplacian matrix of digraph (G, (a kh θ kh ) N ×N ). Therefore, for any t ∈ [t n , s n ), we can get the following inequality:…”

“…Recently, the stability and synchronization analysis of complex networks have received a great deal of attention, and many useful results have been published [1][2][3][4][5][6][7][8][9][10][11][12][13]. The complex networks in the above literature are single-link.…”

Hybrid neural network control design for uncertain switched nonlinear systems with external disturbances: Application to ship maneuvering system

“…Particularly, researchers have focused their attention on a neural network (NN)-based adaptive control strategy for uncertain nonlinear systems in strict-feedback mode (Chu et al, 2021;Zhou et al, 2018). Zhou et al (2022aZhou et al ( , 2022bZhou et al ( , 2022c focused on the delay intermittent control problem for stochastic system with time-varying multi-weights network and stabilization issue for stochastic complex networks and stochastic coupled systems. An adaptive control technique using the backstepping method and NN is suggested by Lian et al (2010) for a class of uncertain strict-feedback nonlinear systems.…”