activity
20182020
most citedVision-Based Autonomous Vehicle Control using the Two-Point Visual Driver Control Model

3 citations · 3 across the 1 of their papers we have counts for

collaborators

8 papers

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…

cs.CV20193 cited

Vision-Based Autonomous Vehicle Control using the Two-Point Visual Driver Control Model

Justin Zheng, Kazuhide Okamoto, Panagiotis Tsiotras

This work proposes a new self-driving framework that uses a human driver control model, whose feature-input values are extracted from images using deep convolutional neural network…

math.OC2019

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

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…