From the 2 of 4 linked papers with an AI index.
1 citations · 1 across the 2 of their papers we have counts for
4 papers
Exact Solutions to a Class of Constrained Optimal Control Problems via Lossless Convexification for Digital Control
Vaibhav Upadhyay, Siddhartha Ganguly, Debasish Chatterjee
The paper presents a lossless convexification method that transforms certain nonconvex, constrained optimal control problems for linear systems into convex ones and solves them exa…
Sparse Robust Optimal Control in Continuous-Time: A Computationally Viable Approach
Siddhartha Ganguly, Ashwin Aravind, Souvik Das +2
The paper introduces a computationally tractable algorithm that solves sparse robust optimal control problems for continuous-time linear noisy systems by reformulating them as semi…
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…
: 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…