Fast finite-time adaptive optimal algorithm for stochastic multiagent systems under deception attacks and time-varying output constraints
An adaptive optimal neural network algorithm with fast finite-time convergence is proposed for stochastic multiagent systems (SMASs) under deception attacks, time-varying asymmetric output constraints and dead zones. An additional attack signal corrupts the state information of nonlinear systems, resulting in the unava...
Xin Zhang, Junsheng Zhao, Zong‐Yao Sun et al.
· Applied Mathematics and Comp... · 0 citations