Pages that link to "Item:Q6160810"
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The following pages link to Deep reinforcement learning control approach to mitigating actuator attacks (Q6160810):
Displaying 19 items.
- A hybrid dynamical systems perspective on reinforcement learning for cyber-physical systems: vistas, open problems, and challenges (Q2094057) (← links)
- Resilient reinforcement learning and robust output regulation under denial-of-service attacks (Q2151879) (← links)
- Secure control for cyber-physical systems based on machine learning (Q3380619) (← links)
- Data‐based optimal Denial‐of‐Service attack scheduling against robust control based on Q‐learning (Q5241801) (← links)
- Observer‐based security control for distributed cyber‐physical systems under replay attacks (Q6154702) (← links)
- Improved prescribed performance fuzzy control for nonlinear multiagent systems with actuator faults and dual input saturations (Q6192758) (← links)
- Observer‐based event‐triggered security control for nonlinear networked control systems with cyber attacks (Q6198166) (← links)
- Distributed entropy-regularized multi-agent reinforcement learning with policy consensus (Q6550247) (← links)
- Command filter-based adaptive fault-tolerant tracking control for switched nonlinear systems with time-varying output constraints (Q6551667) (← links)
- Fuzzy control for networked systems with mixed data missing under quantization based event-triggered scheme (Q6556454) (← links)
- Reinforcement learning-based adaptive predefined-time optimal tracking control for strict-feedback nonlinear systems (Q6558255) (← links)
- Safety reinforcement learning control via transfer learning (Q6574459) (← links)
- Finite-time optimal tracking control for a class of nonlinear systems with prescribed performance (Q6583494) (← links)
- Zero-sum game-based \(H_\infty\) optimal finite-time prescribed performance control for nonlinear multiagent systems with actuator faults (Q6591156) (← links)
- Input-output data based tracking control under DoS attacks (Q6600989) (← links)
- Detection-based resilient control for cyber-physical systems against two-channel false data injection attacks (Q6647070) (← links)
- Adaptive robust control of nonaffine nonlinear systems via an improved event-triggered mechanism (Q6660436) (← links)
- Disturbance observer-based control for cable-driven parallel robots with external disturbance using deep reinforcement learning (Q6662123) (← links)
- Zero-sum game for nonlinear multiagent systems with full-state constraints (Q6662134) (← links)
