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Policy Gradient-based Model Free Optimal LQG Control with a Probabilistic Risk Constraint
In this paper, we investigate a model-free optimal control design that minimizes an infinite horizon average expected quadratic cost of states and control actions subject to a probabilistic risk or chance constraint using input-output data.
Deterministic policy gradient based optimal control with probabilistic constraints
Two strategies are employed to manage the probabilistic constraint in scenarios of known and unknown system models.
Quickest Detection of Deception Attacks in Networked Control Systems with Physical Watermarking
An independent and identically distributed watermarking signal is added to the optimal linear quadratic Gaussian (LQG) control inputs, and a cumulative sum (CUSUM) test is carried out using the joint distribution of the innovation signal and the watermarking signal for quickest attack detection.
Optimization and Control
