activity
20202026
most citedA novel trajectory optimization algorithm for continuous-time model predictive control

9 citations · 23 across the 10 of their papers we have counts for

collaborators

10 papers

math.OC2026

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…

math.OC2026★ 1 cited

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…

math.OC2025

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…

math.OC2024

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…

math.OC2024

: 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…

math.OC2023★ 6 cited

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…

math.OC2023★ 9 cited

A novel trajectory optimization algorithm for continuous-time model predictive control

Souvik Das, Siddhartha Ganguly, Muthyala Anjali +1

This article introduces a numerical algorithm that serves as a preliminary step toward solving continuous-time model predictive control (MPC) problems directly without explicit tim…

math.OC2023★ 3 cited

Explicit feedback synthesis for nonlinear robust model predictive control driven by quasi-interpolation

Siddhartha Ganguly, Debasish Chatterjee

We present QuIFS (Quasi-Interpolation driven Feedback Synthesis): an offline feedback synthesis algorithm for explicit nonlinear robust minmax model predictive control (MPC) proble…

math.OC2023

A discrete-time Pontryagin maximum principle under rate constraints

Siddhartha Ganguly, Souvik Das, Debasish Chatterjee +1

Limited bandwidth and limited saturation in actuators are practical concerns in control systems. Mathematically, these limitations manifest as constraints being imposed on the cont…

math.OC2020★ 4 cited

Robust Tracking and Model Following Controller Based on Higher Order Sliding Mode Control and Observation: With an Application to MagLev System

Siddhartha Ganguly, Manas Kumar Bera, Prasanta Roy

This paper deals with the design of robust tracking and model following (RTMF) controller for linear time-invariant (LTI) systems with uncertainties. The controller is based on the…