Despite our environment often being uncertain, we generally manage to generate stable
motor behaviors. While reactive control plays a major role in this achievement, proactive …

Abstract The Koopman and Perron Frobenius transport operators are fundamentally
changing how we approach dynamical systems, providing linear representations for even …

Robust excitation of a large spin ensemble is a long-standing problem in the field of
quantum information science and engineering and presents a grand challenge in quantum …

The primary goal of this paper is to provide an efficient solution algorithm based on the
augmented Lagrangian framework for optimization problems with a stochastic objective …

In this paper we consider the problem of the optimal control of an ensemble of affine-control
systems. After proving the well-posedness of the minimization problem under examination …

We analyze a convex stochastic optimization problem where the state is assumed to belong
to the Bochner space of essentially bounded random variables with images in a reflexive …

We address the design of optimal control strategies for high-dimensional stochastic
dynamical systems. Such systems may be deterministic nonlinear systems evolving from …

Recent years have witnessed a wave of research activities in systems science toward the
study of population systems. The driving force behind this shift was geared by numerous …

Optimal control of bilinear systems has been a well-studied subject in the area of
mathematical control. However, techniques for solving emerging optimal control problems …

We apply the sample average approximation (SAA) method to risk-neutral optimization
problems governed by nonlinear partial differential equations (PDEs) with random inputs …