Results 11 to 20 of about 2,594,240 (334)

Using linear parameter varying autoregressive models to measure cross frequency couplings in EEG signals. [PDF]

open access: yesFront Hum Neurosci, 2022
For years now, phase-amplitude cross frequency coupling (CFC) has been observed across multiple brain regions under different physiological and pathological conditions.
Kostoglou K, Müller-Putz GR.
europepmc   +2 more sources

Annihilator design for linear parameter varying systems [PDF]

open access: yesIFAC-PapersOnLine, 2018
Abstract Computation of the annihilator of a linear parameter-dependent (LPV) dynamical system is an important subtask in several fields of control theory, such as fault detection design or reconfigurable control design. While for LTI systems the problem can be efficiently handled, for LPV systems is not available a single algorithm that would ...
Bokor, József   +2 more
core   +4 more sources

Linear parameter-varying model to design control laws for an artificial pancreas [PDF]

open access: yesBiomedical Signal Processing and Control, 2018
The contribution of this work is the generation of a control-oriented model for insulin-glucose dynamic regulation in type 1 diabetes mellitus (T1DM).
Colmegna, Patricio Hernán   +2 more
core   +2 more sources

Data-Driven Gain Scheduling Control of Linear Parameter-Varying Systems Using Quadratic Matrix Inequalities [PDF]

open access: yesIEEE Control Systems Letters, 2022
This letter synthesizes a gain-scheduled controller to stabilize all possible Linear Parameter-Varying (LPV) plants that are consistent with measured input/state data records.
Jared Miller, M. Sznaier
semanticscholar   +1 more source

Data-Driven Predictive Control for Linear Parameter-Varying Systems [PDF]

open access: yesIFAC-PapersOnLine, 2021
Based on the extension of the behavioral theory and the Fundamental Lemma for Linear Parameter-Varying (LPV) systems, this paper introduces a Data-driven Predictive Control (DPC) scheme capable to ensure reference tracking and satisfaction of Input ...
C. Verhoek   +3 more
semanticscholar   +1 more source

Electrolyte Flow Rate Control for Vanadium Redox Flow Batteries using the Linear Parameter Varying Framework [PDF]

open access: yesJournal of Process Control, 2022
In this article, an electrolyte flow rate control approach is developed for an all-vanadium redox flow battery (VRB) system based on the linear parameter varying (LPV) framework. The electrolyte flow rate is regulated to provide a trade-off between stack
Ryan J. McCloy   +3 more
semanticscholar   +1 more source

Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems [PDF]

open access: yesIEEE Conference on Decision and Control, 2021
Based on the Fundamental Lemma by Willems et al., the entire behaviour of a Linear Time-Invariant (LTI) system can be characterised by a single data sequence of the system as long the input is persistently exciting.
C. Verhoek   +3 more
semanticscholar   +1 more source

Data Driven Strategy for Linear Parameter Varying Control Design

open access: yesIEEE Access, 2022
In this paper, we propose a novel data driven strategy framework for linear parameter varying closed loop system which consists of linear parameter varying system and linear parameter varying controller simultaneously.
Wang Jianhong   +2 more
doaj   +1 more source

Real-Time Model Predictive Control for Battery-Supercapacitor Hybrid Energy Storage Systems Using Linear Parameter-Varying Models

open access: yesIEEE Journal of Emerging and Selected Topics in Power Electronics, 2023
This article proposes a new model predictive control (MPC) strategy for the energy management of a battery-supercapacitor (SC) hybrid energy storage system (HESS) for electric vehicle (EV) applications. First, linear parameter-varying (LPV) models of the
C. Jia, Junwei Cui, W. Qiao, Liyan Qu
semanticscholar   +1 more source

Linear parameter-varying spectral decomposition [PDF]

open access: yes2017 American Control Conference (ACC), 2017
We develop a linear parameter-varying (LPV) spectral decomposition method, based on least-squares estimation and kernel expansions. Statistical properties of the estimator are analyzed and verified in simulations. The method is linear in the parameters, applicable to both the analysis and modeling problems and is demonstrated on both simulated signals ...
Carlson, Fredrik Bagge   +2 more
openaire   +2 more sources

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