This paper presents an output feedback LPV gain-scheduling control design for a class of PSPWM full-bridge power converters. The design starts with an averaged model of the converter with adequate complexity. One main contribution of this work is to demonstrate how to reformulate the averaged model into an LPV one. A gain-scheduling controller can then be synthesized taking advantage of the des...

In the framework of Linear Parameter-Varying (LPV) systems, controllers are commonly designed in continuous-time, but implemented on digital hardware. Additionally, LPV system identification is formulated exclusively in discrete-time, needing structural information about the plant, which is often provided by first principle continuous-time models. These imply that LPV system discretization is a...

In this paper, the problem of trajectory tracking for a four wheeled omnidirectional robot is solved in the inertial fixed coordinate system. The solution relies on a reference model approach, where the resulting nonlinear error model is brought to a quasi-Linear Parameter Varying (LPV) form suitable for designing an LPV controller using Linear Matrix Inequalities (LMI)-based techniques. In par...

It is known that in general, frozen equivalent (Linear Parameter-Varying) LPV models, i.e., LPV models which have the same input-output behavior for each constant scheduling signal, might exhibit different input-output behavior for non-constant scheduling signals. In this paper, we provide an analytic error bound on the difference between the inputoutput behaviors of two LPV models which are fr...

Controllers in the linear parameter-varying (LPV) framework are commonly designed in continuoustime (CT) requiring accurate and low-order CT models of the system. However, identification of continuous-time LPV models is largely unsolved, representing a gap between the available LPV identification methods and the needs of control synthesis. In order to bridge this gap, direct identification of C...

This paper studies a formation control problem for nonlinear multi-agent systems; specifically non-holonomic vehicles represented as linear parameter-varying (LPV) models are of interest here. The objective of this study is twofold. First, we demonstrate the applicability of a novel approach to distributed control for LPV decomposable systems (Hoffmann et al., 2013). Second, we investigate diff...

The lymphotropic papovavirus (LPV)-specific mRNAs were translated in vitro in rabbit reticulocyte lysates. The specific products were 84,000-dalton (84K), 41K, 35K, and 26K proteins. Immunoprecipitation with anti-LPV hamster sera and analysis of partially purified LPV virions showed that the last three proteins were the LPV capsid proteins, and we designated the 41K, 35K, and 26K proteins VP1 (...

The framework of Linear Parameter Varying (LPV) systems concerns linear dynamical systems whose state-space representations depend on exogenous non-stationary parameters. Since its introduction by Shamma and Athans in 1988 to model gain scheduling, the LPV paradigm has become a standard formalism in systems and controls, with many papers devoted to analysis, controller synthesis, and system ide...

OBJECTIVE The primary aim of the study was to compare the metabolic side effects of a nucleoside analogue-containing regimen with a nucleoside analogue-sparing double protease inhibitor regimen. A secondary goal was to test for efficacy of a double-PI regimen. DESIGN Multicenter, randomized, open-label, phase III clinical trial. SUBJECTS Adult HIV-1-infected individuals naïve to antiretrovi...

BACKGROUND Amprenavir (APV), fosamprenavir (FPV), lopinavir (LPV), ritonavir (RTV) and efavirenz (EFV) are to varying degrees substrates, inducers and inhibitors of CYP3A4. Coadministration of these drugs might result in complex pharmacokinetic drug-drug interactions. METHODS Two prospective, open-label, non-randomized studies evaluated APV and LPV steady-state pharmacokinetics in HIV-infecte...