61 citations · 243 across the 64 of their papers we have counts for
11 papers · 1 filter
Computationally Efficient Chance Constrained Covariance Control with Output Feedback
Joshua Pilipovsky, Panagiotis Tsiotras
This paper studies the problem of developing computationally efficient solutions for steering the distribution of the state of a stochastic, linear dynamical system between two bou…
Desensitization and Deception in Differential Games with Asymmetric Information
Vinodhini Comandur, Tulasi Ram Vechalapu, Venkata Ramana Makkapati +2
Desensitization addresses safe optimal planning under parametric uncertainties by providing sensitivity function-based risk estimates. This paper expands upon the existing work on…
Zero-Sum Games between Large-Population Teams: Reachability-based Analysis under Mean-Field Sharing
Yue Guan, Mohammad Afshari, Panagiotis Tsiotras
This work studies the behaviors of two large-population teams competing in a discrete environment. The team-level interactions are modeled as a zero-sum game while the agent dynami…
On the Adversarial Convex Body Chasing Problem
Yue Guan, Longxu Pan, Daigo Shishika +1
In this work, we extend the convex bodies chasing problem (CBC) to an adversarial setting, where an agent (the Player) is tasked with chasing a sequence of convex bodies generated…
Stochastic Entry Guidance
Jack Ridderhof, Panagiotis Tsiotras, Breanna J. Johnson
In this paper, closed-loop entry guidance in a randomly perturbed atmosphere, using bank angle control, is posed as a stochastic optimal control problem. The entry trajectory, as w…
Multi-Agent Consensus Subject to Communication and Privacy Constraints
Dipankar Maity, Panagiotis Tsiotras
We consider a multi-agent consensus problem in the presence of adversarial agents. The adversaries are able to listen to the inter-agent communications and try to estimate the stat…
Chance-Constrained Covariance Steering in a Gaussian Random Field via Successive Convex Programming
Jack Ridderhof, Panagiotis Tsiotras
The problem of optimizing affine feedback laws that explicitly steer the mean and covariance of an uncertain system state in the presence of a Gaussian random field is considered.…
Bounded-Rational Pursuit-Evasion Games
Yue Guan, Dipankar Maity, Christopher M. Kroninger +1
We present a framework that incorporates the idea of bounded rationality into dynamic stochastic pursuit-evasion games. The solution of a stochastic game is characterized, in gener…
Optimal Controller Synthesis and Dynamic Quantizer Switching for Linear-Quadratic-Gaussian Systems
Dipankar Maity, Panagiotis Tsiotras
In networked control systems, often the sensory signals are quantized before being transmitted to the controller. Consequently, performance is affected by the coarseness of this qu…
Optimal Controller and Quantizer Selection for Partially Observable Linear-Quadratic-Gaussian Systems
Dipankar Maity, Panagiotis Tsiotras
In networked control systems, often the sensory signals are quantized before being transmitted to the controller. Consequently, performance is affected by the coarseness of this qu…
Model Based Reinforcement Learning with Final Time Horizon Optimization
Wei Sun, Evangelos Theodorou, Panagiotis Tsiotras
We present one of the first algorithms on model based reinforcement learning and trajectory optimization with free final time horizon. Grounded on the optimal control theory and Dy…