Learning-based actuator selection for increased attack resilience of uncertain systems

Noncooperative games (91A10) Controllability (93B05) Control/observation systems involving computers (process control, etc.) (93C83) Networked control (93B70)

Cites Work

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Q-learning for continuous-time linear systems: A model-free infinite horizon optimal control approach
Optimal sensor placement using machine learning
A data-driven approach to actuator and sensor fault detection, isolation and estimation in discrete-time linear systems
Optimal actuator/sensor location for active noise regulator and tracking control problems
Identification of linear systems with multiplicative noise from multiple trajectory data
A separation theorem for joint sensor and actuator scheduling with guaranteed performance bounds
On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage
Noncooperative Game Theory
On the Performance Degradation of Cyber-Physical Systems Under Stealthy Integrity Attacks
Sensor and Actuator Placement for Linear Systems Based on <inline-formula> <tex-math notation="TeX">$H_{2}$</tex-math></inline-formula> and <inline-formula> <tex-math notation="TeX">$H_{\infty}$</tex-math></inline-formula> Optimization
Adaptive Control Tutorial
Controllability measures and actuator placement in oscillatory systems
Measure of controllability for actuator placement
Balanced realization and model reduction for unstable systems
Adaptive Control Design and Analysis
Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
Deterministic and Randomized Actuator Scheduling With Guaranteed Performance Bounds
Robust and Adaptive Sequential Submodular Optimization
A Moving Target Defense Control Framework for Cyber-Physical Systems
Relaxing Integrity Requirements for Attack-Resilient Cyber-Physical Systems
Time-Varying Sensor and Actuator Selection for Uncertain Cyber-Physical Systems
Attack Detection and Identification in Cyber-Physical Systems
Controllability Metrics, Limitations and Algorithms for Complex Networks
Minimal Actuator Placement With Bounds on Control Effort
On Submodularity and Controllability in Complex Dynamical Networks
Geometric methods for optimal sensor design
A framework for optimal actuator/sensor selection in a control system
A review of methods for input/output selection

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