CONTROLLER design is more troublesome in aerospace systems due to, inter alia, diversity
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …

Advances in optical manipulation and observation of neural activity have set the stage for
widespread implementation of closed-loop and activity-guided optical control of neural …

Fast and safe navigation of dynamical systems through a priori unknown cluttered
environments is vital to many applications of autonomous systems. However, trajectory …

Combinatorial optimization assumes that all parameters of the optimization problem, eg the
weights in the objective function, are fixed. Often, these weights are mere estimates and …

This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …

This paper studies the online optimal control problem with time-varying convex stage costs
for a time-invariant linear dynamical system, where a finite lookahead window of accurate …

This work presents an explicit–implicit procedure to compute a model predictive control
(MPC) law with guarantees on recursive feasibility and asymptotic stability. The approach …

Because of their complex behavior, wastewater treatment processes (WWTPs) are very
difficult to control. In this paper, the design and implementation of a nonlinear model …

Active-set methods are recognized to often outperform other methods in terms of speed and
solution accuracy when solving small-size quadratic programming (QP) problems, making …

Hydroelectric power stations are a major source of electricity around the world;
understanding their dynamics is crucial to achieving good performance. The electrical power …