Results 31 to 40 of about 2,594,240 (334)
Attitude Tracking Control of Autonomous Helicopter using Polytopic-LPV Modeling and PCA-Parameter Set Mapping [PDF]
International Journal of Advanced Design and Manufacturing Technology, 2021 This paper presents a new method for modeling and Attitude Control of Autonomous Helicopters (A.H.) based on a polytopic linear parameter varying approach using parameter set mapping with the Principal Component Analysis (PCA). The polytopic LPV model is
Reza Tarighi +2 more
doaj +1 more source
Linear Parameter Varying Iterative Learning Control [PDF]
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009 In this paper an Iterative Learning Control (ILC) algorithm is proposed for a certain class of Linear Parameter Varying (LPV) systems whose dynamics change between iterations. Consistency of the algorithm in the presence of stochastic disturbances is shown. The proposed algorithm is tested in simulation and the obtained tracking performance is compared
Mark Butcher, Alireza Karimi
openaire +1 more source
Leak diagnosis in pipelines based on a Kalman filter for Linear Parameter Varying systems
, 2021 This paper proposes a new approach for the leak diagnosis problem in pipelines based on the use of a Kalman filter for Linear Parameter Varying (LPV) systems.
J. Delgado-Aguiñaga +2 more
semanticscholar +1 more source
Identification of time-varying systems using multiresolution wavelet models [PDF]
, 2001 Identification of linear and nonlinear time-varying systems is investigated and a new wavelet model identification algorithm is introduced. By expanding each time-varying coefficient using a multiresolution wavelet expansion, the time-varying problem is ...
Billings, S.A., Wei, H.L.
core +2 more sources
Adaptive control for linear parameter-varying systems with application to a VTOL aircraft
, 2021 As a systematic method for gain-scheduling, the linear parameter-varying (LPV) system framework has been widely used for the design of aerospace control systems with large operating envelopes.
Steven Snyder, Pan Zhao, N. Hovakimyan
semanticscholar +1 more source
H∞ and L2–L∞ filtering for two-dimensional linear parameter-varying systems [PDF]
, 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 ...
Anderson +32 more
core +1 more source
Analysis and design of linear parameter varying systems using LMIs
Revista Iberoamericana de Automática e Informática Industrial RIAI, 2019 This paper presents a tutorial on analysis and design of linear parameter varying (LPV) systems using linear matrix inequalities (LMIs). Several specifications, such as D-stability, guaranteed H∞ performance and guaranteed quadratic cost, as well as ...
D. Rotondo +3 more
doaj +1 more source
Model predictive control design for linear parameter varying systems: A survey
Annual Reviews in Control, 2020 Motivated by the fact that many nonlinear plants can be represented through Linear Parameter Varying (LPV) embedding, and being this framework very popular for control design, this paper investigates the available Model Predictive Control (MPC) policies ...
M. Morato, J. Normey-Rico, O. Sename
semanticscholar +1 more source
LPV-Based Controller Design of a Floating Piston Pneumatic Actuator
Actuators, 2020 The paper presents the modeling and control design of a floating piston pneumatic gearbox actuator using a grid-based Linear Parameter Varying approach. First, the nonlinear model of the pneumatic actuator is presented, then it is transformed into a 6th ...
Ádám Szabó +3 more
doaj +1 more source
Constructing an overall dynamical model for a system with changing design parameter properties [PDF]
, 2008 This study considers the identification problem for a class of non-linear parameter-varying systems associated with the following scenario: the system behaviour depends on some specifically prescribed parameter properties, which are adjustable.
Hua Liang Wei +2 more
core +1 more source