Zero-sum game-based \(H_\infty\) optimal finite-time prescribed performance control for nonlinear multiagent systems with actuator faults

Cites Work

Output feedback Q-learning for discrete-time linear zero-sum games with application to the \(H_\infty\) control
Inverse reinforcement learning for multi-player noncooperative apprentice games
Event‐triggered control for a saturated nonlinear system with prescribed performance and finite‐time convergence
L₂-L_∞ filtering for stochastic delayed systems with randomly occurring nonlinearities and sensor saturation
Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems
Adaptive Tracking Control of Hybrid Switching Markovian Systems with Its Applications
Synchronization of Frequency-Modulated Multiagent Systems
Predictor‐based bipartite time‐varying formation control of nonlinear multi‐agents systems via disturbance observer
Event‐triggered leader‐following consensus for a class of nonlinear multiagent systems with time‐varying delay
Reinforced unscented Kalman filter for consensus achievement of uncertain multi‐agent systems subject to actuator faults
Deep reinforcement learning control approach to mitigating actuator attacks
Probabilistic Event-Triggered Policy for Extended Dissipative Finite-Time Control of MJSs under Cyber-Attacks and Actuator Failures
Event-based average consensus of disturbed MASs via fully distributed sliding mode control
An optimal estimation framework of multi-agent systems with random transport protocol

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