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20122026
most citedTrajectory Distribution Control for Model Predictive Path Integral Control using Covariance Steering

61 citations · 243 across the 64 of their papers we have counts for

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16 papers · 1 filter

math.OC2023★ 1 cited

Computationally Efficient Covariance Steering for Systems Subject to Parametric Disturbances and Chance Constraints

Jacob Knaup, Panagiotis Tsiotras

This work investigates the finite-horizon optimal covariance steering problem for discrete-time linear systems subject to both additive and multiplicative uncertainties as well as…

math.OC2022

Distributionally Robust Covariance Steering with Optimal Risk Allocation

Venkatraman Renganathan, Joshua Pilipovsky, Panagiotis Tsiotras

This article extends the optimal covariance steering (CS) problem for discrete time linear stochastic systems modeled using moment-based ambiguity sets. To hedge against the uncert…

math.OC2022

Solving Feynman-Kac Forward Backward SDEs Using McKean-Markov Branched Sampling

Kelsey P. Hawkins, Ali Pakniyat, Evangelos Theodorou +1

We propose a new method for the numerical solution of the forward-backward stochastic differential equations (FBSDE) appearing in the Feynman-Kac representation of the value functi…

math.OC2021

Distribution Steering for Discrete-Time Linear Systems with General Disturbances using Characteristic Functions

Vignesh Sivaramakrishnan, Joshua Pilipovsky, Meeko M. K. Oishi +1

We propose to solve a constrained distribution steering problem, i.e., steering a stochastic linear system from an initial distribution to some final, desired distribution subject…

math.OC2020

Covariance Steering with Optimal Risk Allocation

Joshua Pilipovsky, Panagiotis Tsiotras

This paper extends the optimal covariance steering problem for linear stochastic systems subject to chance constraints to account for optimal risk allocation. Previous works have a…

math.OC2020★ 10 cited

Apollonius Allocation Algorithm for Heterogeneous Pursuers to Capture Multiple Evaders

Venkata Ramana Makkapati, Panagiotis Tsiotras

In this paper, we address pursuit-evasion problems involving multiple pursuers and multiple evaders. The pursuer and the evader teams are assumed to be heterogeneous, in the sense…

math.OC2020

Forward-Backward Rapidly-Exploring Random Trees for Stochastic Optimal Control

Kelsey P. Hawkins, Ali Pakniyat, Evangelos Theodorou +1

We propose a numerical method for the computation of the forward-backward stochastic differential equations (FBSDE) appearing in the Feynman-Kac representation of the value functio…

math.OC2020

Covariance Steering for Discrete-Time Linear-Quadratic Stochastic Dynamic Games

Venkata Ramana Makkapati, Tanmay Rajpurohit, Kazuhide Okamoto +1

This paper addresses the problem of steering a discrete-time linear dynamical system from an initial Gaussian distribution to a final distribution in a game-theoretic setting. One…

math.OC2020

Chance Constrained Covariance Control for Linear Stochastic Systems With Output Feedback

Jack Ridderhof, Kazuhide Okamoto, Panagiotis Tsiotras

We consider the problem of steering, via output feedback, the state distribution of a discrete-time, linear stochastic system from an initial Gaussian distribution to a terminal Ga…

math.OC2019

C-DOC: Co-State Desensitized Optimal Control

Venkata Ramana Makkapati, Dipankar Maity, Mehregan Dor +1

In this paper, co-states are used to develop a framework that desensitizes the optimal cost. A general formulation for an optimal control problem with fixed final time is considere…

math.OC2019★ 13 cited

Stochastic Model Predictive Control for Constrained Linear Systems Using Optimal Covariance Steering

Kazuhide Okamoto, Panagiotis Tsiotras

This work develops a stochastic model predictive controller~(SMPC) for uncertain linear systems with additive Gaussian noise subject to state and control constraints. The proposed…

math.OC2019★ 2 cited

Input Hard Constrained Optimal Covariance Steering

Kazuhide Okamoto, Panagiotis Tsiotras

We address the optimal covariance steering (OCS) problem for stochastic discrete linear systems with additive Gaussian noise under state chance constraints and input hard constrain…

math.OC2019

Nonlinear Uncertainty Control with Iterative Covariance Steering

Jack Ridderhof, Kazuhide Okamoto, Panagiotis Tsiotras

This paper considers the problem of steering the state distribution of a nonlinear stochastic system from an initial Gaussian to a terminal distribution with a specified mean and c…

math.OC2018★ 2 cited

Optimal Stochastic Vehicle Path Planning Using Covariance Steering

Kazuhide Okamoto, Panagiotis Tsiotras

This work addresses the problem of vehicle path planning in the presence of obstacles and uncertainties, which is a fundamental problem in robotics. While many path planning algori…

math.OC2018

Optimal Covariance Control for Stochastic Systems Under Chance Constraints

Kazuhide Okamoto, Maxim Goldshtein, Panagiotis Tsiotras

This work addresses the optimal covariance control problem for stochastic discrete-time linear time-varying systems subject to chance constraints. Covariance steering is a stochast…

math.OC2017

Finite-Horizon Covariance Control of Linear Time-Varying Systems

Maxim Goldshtein, Panagiotis Tsiotras

We consider the problem of finite-horizon optimal control of a discrete linear time-varying system subject to a stochastic disturbance and fully observable state. The initial state…