Results 11 to 20 of about 13,565,509 (136)

Robust gain-scheduled H [infinity] control for unmanned aerial vehicles

open access: yes, 2010
This thesis considers the problem of the design of robust gain-scheduled ight controllers for conventional xed-wing unmanned aerial vehicles (UAVs).
Chumalee, Sunan
core   +7 more sources

Stability Analysis of a Linear Parameter Varying Adaptive Output Feedback Control System [PDF]

open access: yes, 2021
Output feedback control systems often require an adaptive filter for properly shaping the loop transfer function, as certain system plant parameters may be uncertain or varying.
Ruderman, Michael, Tranninger, Markus
core   +1 more source

H∞ and L2–L∞ filtering for two-dimensional linear parameter-varying systems [PDF]

open access: yes, 2007
This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Wiley-BlackwellIn this paper, the H∞ and l2–l∞ filtering problem is investigated for two-dimensional (2-D) discrete-time ...
Wang, Z, Wu, L, Gao, H, Wang, C
core   +1 more source

On The Design and Characteristics of a Sub-Optimal Observer for Boeing-747

open access: yesMehran University Research Journal of Engineering and Technology, 2018
LPV (Linear Parameter Varying) system is an important class of system, as it covers many physical systems. In the existing design theory related to control system, the major part is related to linear and non-linear systems.
Wasiullah Khan   +2 more
doaj   +1 more source

Convolutional Neural Networks for Very Low-Dimensional LPV Approximations of Incompressible Navier-Stokes Equations

open access: yesFrontiers in Applied Mathematics and Statistics, 2022
The control of general nonlinear systems is a challenging task in particular for large-scale models as they occur in the semi-discretization of partial differential equations (PDEs) of, say, fluid flow.
Jan Heiland   +4 more
doaj   +1 more source

Informative Input Design for Bayesian Identification of LPV Systems

open access: yesSICE Journal of Control, Measurement, and System Integration, 2018
This paper proposes an input design method for identification of linear-parameter-varying (LPV) systems. In particular, this paper focuses on the Bayesian estimation of LPV systems, especially the impulse responses of LPV systems at the scheduling ...
Yusuke Fujimoto   +2 more
doaj   +1 more source

A New Fuzzy Robust Control for Linear Parameter-Varying Systems

open access: yesMathematics, 2022
The linear parameter-varying (LPV) models have broad applications in advanced mathematics and modern control systems. This paper introduces a new method for controlling the LPV systems. This method includes the gain-scheduled state-feedback technique and
Fenghua Chen   +4 more
doaj   +1 more source

Design of LPV-Based Sliding Mode Controller with Finite Time Convergence for a Morphing Aircraft

open access: yesInternational Journal of Aerospace Engineering, 2017
This paper proposes a finite time convergence sliding mode control (FSMC) strategy based on linear parameter-varying (LPV) methodology for the stability control of a morphing aircraft subject to parameter uncertainties and external disturbances. Based on
Nuan Wen   +3 more
doaj   +1 more source

Polytopic Observer Design for LPV Systems Based on Minimal Convex Polytope Finding

open access: yesJournal of Algorithms & Computational Technology, 2009
Linear Parameter Varying (LPV) systems are models widely encountered in the engineering field. In this paper, a systematic method is provided to design a polytopic observer whose goal is to reconstruct the state of discrete-time LPV systems.
Floriane Anstett   +2 more
doaj   +1 more source

Model Reduction of LPV Control with Bounded Parameter Variation Rates [PDF]

open access: yes, 2006
This paper proposes a reduced-order controller of linear parameter varying systems. The parameters are available for measurement while their ranges and rates of variation are assumed to be bounded.
Riyanto, T. Bambang, Widowati, Widowati
core   +1 more source

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