We derive a data-driven method for the approximation of the Koopman generator called
gEDMD, which can be regarded as a straightforward extension of EDMD (extended dynamic …

We present a new framework for optimal and feedback control of PDEs using Koopman
operator-based reduced order models (K-ROMs). The Koopman operator is a linear but …

This paper investigates the adaptive finite-time tracking control problem for a class of
switched nonlinear systems with unmodeled dynamics. In practical applications, switched …

Reinforcement learning (RL) for continuous control typically employs distributions whose
support covers the entire action space. In this work, we investigate the colloquially known …

We investigate finite-dimensional constrained structured optimization problems, featuring
composite objective functions and set-membership constraints. Offering an expressive yet …

This paper studies the optimal switching and control co-design for a class of continuous-time
switched nonlinear systems. An event-triggered adaptive dynamic programming (ADP) …

This article considers the optimal control problem for path-constrained switched systems
with guaranteed feasibility. First, a method is proposed to reduce continuous path …

The control parameterization method used together with time-scaling transformation is an
effective approach to transform optimal control problems into optimal parameter selection …

We present a branch-and-bound algorithm for globally solving parabolic optimal control
problems with binary switches that have bounded variation and possibly need to satisfy …

In this paper, we consider an optimal control problem of switched systems with input and
state constraints. It is difficult to numerically integrate the switched system with the initial …