Results 51 to 60 of about 2,594,240 (334)

Autonomous racing using Linear Parameter Varying-Model Predictive Control (LPV-MPC)

open access: yes, 2020
This article presents an innovative control approach for autonomous racing vehicles. Linear Parameter Varying (LPV) theory is used to model the dynamics of the vehicle and implement an LPV-Model Predictive Controller (LPV-MPC) that can be computed online
Eugenio Alcalá   +3 more
semanticscholar   +1 more source

A Full Envelope Robust Linear Parameter-Varying Control Method for Aircraft Engines

open access: yesAerospace, 2023
In order to solve the problem of full flight envelope control for aircraft engines, the design of a linear parameter-varying (LPV) controller is described in this paper.
Bin Shen, Lingfei Xiao, Zhifeng Ye
doaj   +1 more source

Data‐driven tuning of linear parameter‐varying precompensators [PDF]

open access: yesInternational Journal of Adaptive Control and Signal Processing, 2010
AbstractMethods for direct data‐driven tuning of the parameters of precompensators for linear parameter‐varying (LPV) systems are developed. Since the commutativity property is not always satisfied for LPV systems, previously proposed methods for LTI systems that use this property cannot be directly adapted. When the ideal precompensator giving perfect
Butcher, Mark, Karimi, Alireza
openaire   +2 more sources

Fault estimation and active fault tolerant control for linear parameter varying descriptor systems [PDF]

open access: yes, 2014
Starting with the baseline controller design, this paper proposes an integrated approach of active fault tolerant control based on proportional derivative extended state observer (PDESO) for linear parameter varying descriptor systems.
Patton, Ron J., Shi, Fengming
core   +1 more source

PSO based linear parameter varying-model predictive control for trajectory tracking of autonomous vehicles

open access: yesEngineering Research Express
In this paper, Linear Parameter Varying-Model Predictive Control (LPV-MPC) for trajectory tracking for Autonomous Vehicles (AVs) is proposed. This method is based on the time-varying LPV is the form of the state space representation from the mathematical
Chala Abdulkadir Kedir   +1 more
semanticscholar   +1 more source

From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples

open access: yes, 2018
Linear parameter-varying (LPV) models form a powerful model class to analyze and control a (nonlinear) system of interest. Identifying a LPV model of a nonlinear system can be challenging due to the difficulty of selecting the scheduling variable(s) a ...
Schoukens, Maarten, Tóth, Roland
core   +1 more source

Non-linear effects on Turing patterns: time oscillations and chaos. [PDF]

open access: yes, 2012
We show that a model reaction-diffusion system with two species in a monostable regime and over a large region of parameter space, produces Turing patterns coexisting with a limit cycle which cannot be discerned from the linear analysis. As a consequence,
Aragón, J. L.   +4 more
core   +1 more source

A Bode Sensitivity Integral for Linear Time-Periodic Systems [PDF]

open access: yes, 2004
Bode's sensitivity integral is a well-known formula that quantifies some of the limitations in feedback control for linear time-invariant systems. In this note, we show that there is a similar formula for linear time-periodic systems.
Bernhardsson, Bo, Sandberg, Henrik
core   +1 more source

Robust linear parameter-varying output-feedback control of permanent magnet synchronous motors

open access: yesSystems Science & Control Engineering, 2021
This paper investigates the design of a robust linear parameter-varying (LPV) controller for speed regulation of surface permanent magnet synchronous motors (SPMSMs).
Shahin Tasouijan   +3 more
doaj   +1 more source

Linear Parameter-Varying Control of a Copolymerization Reactor

open access: yesIFAC-PapersOnLine, 2015
This paper demonstrates the application of the linear parameter-varying (LPV) framework to control a copolymerization reactor. An LPV model representation is first developed for a nonlinear model of the process. The LPV model complexity in terms of the model order and the number of scheduling variables is then reduced by truncating those system states ...
Abbas, H.S.   +5 more
openaire   +2 more sources

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