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Author

Rajiv Sambharya

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Preprint Sep 2026

Verifying performance, stability, and feasibility of inexact non-linear model predictive controllers

A verification framework to numerically analyze inexact model predictive controllers (MPCs) in the constrained non-linear discrete-time setting to formulate an optimization problem that searches over the worst-case initial state within a given set and control inputs consistent with the inexact controller to maximize a...

Rajiv Sambharya, S. C. Anand, George J. Pappas · 0 citations
Open access Jul 2026

Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization

A machine-learning framework to learn the hyperparameter sequence of first-order methods to quickly solve parametric convex optimization problems, and shows how to learn hyperparameters for several popular algorithms: gradient descent, proximal gradient descent, and two ADMM-based solvers.

Rajiv Sambharya, Bartolomeo Stellato · 0 citations

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