6 citations · 7 across the 9 of their papers we have counts for
9 papers
Constrained minmax density transportation for linear parabolic PDEs: a numerical optimal control perspective
Siddhartha Ganguly, Vaibhav Upadhyay, Kenji Kashima +1
This article introduces a numerical optimal control framework for minmax constrained density control for a class of noisy linear parabolic partial differential equations (PDEs), in…
Exact Solutions to a Class of Constrained Optimal Control Problems via Lossless Convexification for Digital Control
Vaibhav Upadhyay, Siddhartha Ganguly, Debasish Chatterjee
This article establishes a new numerically viable technique for solving a class of constrained, nonconvex, continuous-time optimal control problems (OCPs) for linear systems that c…
Sparse Robust Optimal Control in Continuous-Time: A Computationally Viable Approach
Siddhartha Ganguly, Ashwin Aravind, Souvik Das +2
This article presents a novel, numerically viable algorithm for solving sparse robust optimal control problems in continuous time. We consider a constrained linear noisy system gov…
On a Gradient Approach to Chebyshev Center Problems with Applications to Function Learning
Abhinav Raghuvanshi, Mayank Baranwal, Debasish Chatterjee
We introduce , the first gradient-based optimization framework for solving Chebyshev center problems, a fundamental challenge in optimal function learning and geom…
Data-driven learning of feedback maps for explicit robust predictive control: an approximation theoretic view
Siddhartha Ganguly, Shubham Gupta, Debasish Chatterjee
We establish an algorithm to learn feedback maps from data for a class of robust model predictive control (MPC) problems. The algorithm accounts for the approximation errors due to…
Data-driven distributionally robust MPC for systems with multiplicative noise: A semi-infinite semi-definite programming approach
Souvik Das, Siddhartha Ganguly, Ashwin Aravind +1
This article introduces a novel distributionally robust model predictive control (DRMPC) algorithm for a specific class of controlled dynamical systems where the disturbance multip…
Distributed alternating gradient descent for convex semi-infinite programs over a network
Ashwin Aravind, Debasish Chatterjee, Ashish Cherukuri
This paper presents a first-order distributed algorithm for solving a convex semi-infinite program (SIP) over a time-varying network. In this setting, the objective function associ…
: Trajectory Optimization with Uniform Error Guarantees under Path Constraints
Siddhartha Ganguly, Rihan Aaron D'Silva, Debasish Chatterjee
This article introduces a new transcription, change point localization, and mesh refinement scheme for direct optimization-based solutions and for uniform approximation of optimal…
QuITO: Numerical software for constrained nonlinear optimal control problems -- extended version
Siddhartha Ganguly, Nakul Randad, Rihan Aaron D'Silva +2
We introduce the MATLAB-based software QuITO (Quasi-Interpolation based Trajectory Optimization) to numerically solve a wide class of constrained nonlinear optimal control problems…