This paper proposes a comprehensive mixed-sensitivity L 2 control design for an
experimental magnetic levitation (Maglev) system. The control strategy can be seen as an …

A stable gain scheduled controller for a gas turbine engine that drives a variable pitch
propeller is developed and described. A stability proof is developed for gain scheduled …

This paper presents a new procedure for the integrated plant and flight control system
design in the presence of parametric uncertainties. The proposed approach is based on a …

In an idle light-load or a full-load condition, the change of the load mass of a suspension
system is very significant. If the control parameters of conventional control methods remain …

In this paper, a Bayesian nonparametric approach is introduced to estimate multi-input multi-
output (MIMO) linear parameter-varying (LPV) models under the general noise model …

This article proposes a deep learning (DL)-based control algorithm—DL velocity-based
model predictive control (VMPC)—for reducing traffic congestion with slowly time-varying …

This paper proposes a model predictive control strategy for an Organic Rankine Cycle
based waste heat recovery system. The control strategy uses a prediction model based on …

In-Flight Simulators (IFSs) require flight controllers, which mimic other aircraft's dynamics in
a certain operation range, which is the problem addressed in this paper. The design …

EXTENSIVE research over the last 10 years has focused on developing analysis and
synthesis techniques for gain-scheduled controllersforlinearparametervarying (LPV) …

This paper presents a new hybrid switched gain-scheduling control method for missile
autopilot design via dynamic output feedback. For controller design purpose, the nonlinear …