An Lmi–Based Heuristic Algorithm for Vertex Reduction in LPV Systems
The linear parameter varying (LPV) approach has proved to be suitable for controlling many non-linear systems. However, for those which are highly non-linear and complex, the number of scheduling variables increases rapidly.
Sanjuan Adrián +3 more
doaj +1 more source
LPV Control for the Full Region Operation of a Wind Turbine Integrated with Synchronous Generator
Wind turbine conversion systems require feedback control to achieve reliable wind turbine operation and stable current supply. A robust linear parameter varying (LPV) controller is proposed to reduce the structural loads and improve the power extraction ...
Guoyan Cao +2 more
doaj +1 more source
Linear Parameter-Varying Model Predictive Control for Hydraulic Wind Turbine
Wind speed uncertainty and measurement noise affect the control effect in hydraulic wind turbine systems. This paper proposes a model predictive control (MPC) method with a dynamic Kalman filter (KF) based on a linear parameter-varying (LPV) model to ...
Bin Han, Hongyan Gao
doaj +1 more source
Adaptive Model Predictive Control for DC-DC Power Converters With Parameters’ Uncertainties
This research investigates the Adaptive Model Predictive Controller (AMPC) and Linear Parameter-Varying (LPV) control system for a direct current (dc-dc) buck-boost converter, considering the parameters’ uncertainty. The LPV model and the AMPC are
Mohamed E. Albira, Mohamed A. Zohdy
doaj +1 more source
A new LPV modeling approach using PCA-based parameter set mapping to design a PSS
This paper presents a new methodology for the modeling and control of power systems based on an uncertain polytopic linear parameter-varying (LPV) approach using parameter set mapping with principle component analysis (PCA).
Mohammad B. Abolhasani Jabali +1 more
doaj +1 more source
Revisiting Variable Stars Toward the Globular Cluster NGC 6496 With ATLAS and Gaia Photometry
ABSTRACT We revisit 13 variable stars in the field of the metal‐rich globular cluster NGC 6496, discovered by Abbas et al. (2015; Astronomical Journal 149:40) (hereafter referred to as “MA15”) via time‐series data, spanning 2 years. We improve upon the MA15 characterization of the variables using ATLAS time‐series photometry data, spanning 8 years, in ...
Madison E. Martin +2 more
wiley +1 more source
Performance change detection and recovery in inferential control loops
Abstract In most industrial environments, soft sensors are crucial for estimating variables that are hard to measure. It is critical that these variables be estimated quickly and accurately because they are closely linked to plant safety and profit. Therefore, performance drift in the soft sensors cannot be ignored.
Xuanhui Zhai, Yuri A. W. Shardt
wiley +1 more source
LPV/Polytopic Stabilization Control and Estimation in Robotics
Nonlinear robotic systems often operate under widely varying conditions that challenge traditional linear control approaches. The Linear Parameter-Varying (LPV) paradigm overcomes these limitations and offers a unifying framework by representing the ...
Souad Bezzaoucha Rebai
doaj +1 more source
Voice and Speech in Atypical Parkinsonian Disorders
Background Motor speech disorders are early, common, and functionally limiting features of atypical parkinsonian disorders (APDs) such as progressive supranuclear palsy (PSP), corticobasal syndrome (CBS), and multiple system atrophy (MSA). These impairments are underrecognized and undertreated in neurology clinics.
Federico Rodriguez‐Porcel +48 more
wiley +1 more source
Sliding Mode Control in Aerospace Applications: A Survey
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley +1 more source

