For an optimal control problem, one seeks to optimize a performance measure subject to a
set of dynamic, and possibly algebraic, constraints. The dynamic constraints may be …

Ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) are
widely used to model control systems in engineering, natural sciences, and economy …

The control parameterization method is a popular numerical technique for solving optimal
control problems. The main idea of control parameterization is to discretize the control space …

This paper discusses the stabilization of a networked control system (NCS) in which sensors
and actuators of a plant exchange information with a remote controller via a shared …

We consider an optimal control problem with a nonlinear continuous inequality constraint.
Both the state and the control are allowed to appear explicitly in this constraint. By …

Abstract Usually, an UAV (Unmanned Aerial Vehicle) path planning problem can be
modeled as a nonlinear optimal control problem with non-convex constraints in practical …

In recent years significant applications of systems and control theory have been witnessed in
diversed areas such as physical sciences, social sciences, engineering, management and …

Optimal control of nonlinear impulsive systems with free impulse instants and the number of
impulses is investigated in this study. A scheme based on adaptive dynamic programming is …

An overview of global methods for dynamic optimization and mixed-integer dynamic
optimization (MIDO) is presented, with emphasis placed on the control parametrization …

In this paper we consider a class of optimal control problems that have continuous-time
nonlinear dynamics and nonconvex control constraints. We propose a convex relaxation of …