Pages that link to "Item:Q2173933"
From MaRDI portal
The following pages link to Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems (Q2173933):
Displaying 13 items.
- Application of reinforcement learning to wireless sensor networks: models and algorithms (Q889832) (← links)
- Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming (Q2063834) (← links)
- Model-free optimal control of discrete-time systems with additive and multiplicative noises (Q2103660) (← links)
- On extended state estimation for nonlinear uncertain systems with round-robin protocol (Q2123228) (← links)
- Model-free design of stochastic LQR controller from a primal-dual optimization perspective (Q2125546) (← links)
- Rollout approach to sensor scheduling for remote state estimation under integrity attack (Q2165967) (← links)
- Statistical learning for analysis of networked control systems over unknown channels (Q2663884) (← links)
- Multi-channel transmission scheduling with hopping scheme under uncertain channel states (Q2694160) (← links)
- Optimal transmission strategy for multiple Markovian fading channels: existence, structure, and approximation (Q6088373) (← links)
- Optimal sensor scheduling for remote state estimation with limited bandwidth: a deep reinforcement learning approach (Q6154482) (← links)
- Performance analysis of stochastic event-triggered estimator with compressed measurements (Q6491092) (← links)
- Thompson sampling for networked control over unknown channels (Q6566766) (← links)
- Input-output data based tracking control under DoS attacks (Q6600989) (← links)
