4 citations · 4 across the 7 of their papers we have counts for
7 papers
Model-free LQG Control with Chance Constraints
Arunava Naha, Subhrakanti Dey
This paper studies model-free optimal control design and its convergence properties for linear time-invariant systems subject to probabilistic risk or chance constraints. In partic…
Convergence of Flow-Policy Gradient Learning for Linear Quadratic Regulator Problems
Farnaz Adib Yaghmaie, Arunava Naha
Flow -learning has recently been introduced to integrate learning from expert demonstrations into an actor-critic structure. Central to this innovation is the ``the one-step pol…
Policy Gradient-based Model Free Optimal LQG Control with a Probabilistic Risk Constraint
Arunava Naha, Subhrakanti Dey
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 prob…
Deterministic policy gradient based optimal control with probabilistic constraints
Arunava Naha, Subhrakanti Dey
This paper studies a deep deterministic policy gradient (DDPG) based actor critic (AC) reinforcement learning (RL) technique to control a linear discrete-time system with a quadrat…
Quickest Detection of Deception Attacks on Cyber-Physical Systems with a Parsimonious Watermarking Policy
Arunava Naha, André Teixeira, Anders Ahlén +1
The addition of a physical watermarking signal to the control input increases the detection probability of data deception attacks at the expense of increased control cost. In this…
Quickest Detection of Deception Attacks in Networked Control Systems with Physical Watermarking
Arunava Naha, Andre Teixeira, Anders Ahlen +1
In this paper, we propose and analyze an attack detection scheme for securing the physical layer of a networked control system against attacks where the adversary replaces the true…
Sequential detection of Replay attacks
Arunava Naha, Andre Teixeira, Anders Ahlen +1
One of the most studied forms of attacks on the cyber-physical systems is the replay attack. The statistical similarities of the replay signal and the true observations make the re…