The goal of this literature review is to give an update on the recent developments for semi-
infinite programs (SIPs), approximately over the last 20 years. An overview of the different …

This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear
semi-infinite optimization, presents some numerical approaches to this type of problems …

We propose a novel framework for learning stabilizable nonlinear dynamical systems for
continuous control tasks in robotics. The key contribution is a control-theoretic regularizer for …

We present a framework for online generation of robust motion plans for robotic systems with
nonlinear dynamics subject to bounded disturbances, control constraints, and online state …

Even for known nonlinear dynamical systems, feedback controller synthesis is a difficult
problem that often requires leveraging the particular structure of the dynamics to induce a …

In this paper, we consider a class of nonlinear semi-infinite optimization problems. These
problems involve continuous inequality constraints that need to be satisfied at every point in …

We propose an approach to find the optimal value of a convex semi-infinite program (SIP)
that involves identifying a finite set of relevant constraints by solving a finite-dimensional …

We propose an inexact proximal bundle method for constrained nonsmooth nonconvex
optimization problems whose objective and constraint functions are known through oracles …

A switched system is a dynamic system that operates by switching between different
subsystems or modes. Such systems exhibit both continuous and discrete characteristics—a …

We propose a generalization of constrained Markov decision processes (CMDPs) that we
call the\emph {semi-infinitely constrained Markov decision process}(SICMDP). Particularly …