This paper surveys recent results in the field of optimal control of hybrid and switched
systems. We first summarize results that use different problem formulations and then explore …

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 …

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 …

We consider differentiability with respect to the switch times of the value function of an
optimal control problem for a non-autonomous switched system. The control variables are …

The FORTRAN MISER software package has been used with great success over the past
two decades to solve many practically important real world optimal control problems …

In this article, a hybrid intelligent dynamic optimization method integrating of particle swarm
optimization (PSO) and gradient-based optimization (GBO) is proposed for optimal control of …

High dynamic and precise control of process variables within permissible limits is the key to
high product quality in the injection molding industry. Among these variables, the injection …

Based on the concept of uncertain process, an uncertain optimal control model is
established for switched systems. A two-stage algorithm is introduced to handle such model …

This paper surveys recent results in the field of optimal control of hybrid and switched
systems. We summarize recent results that use different problem formulations and then …

In this paper, we consider an optimal control problem of switched systems with input and
state constraints. Since the complexity of such constraint and switching laws, it is difficult to …