Results 31 to 40 of about 13,565,509 (136)
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
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
Robust Performance Analysis: a Review of Techniques for Dealing with Infinite Dimensional LMIs [PDF]
This paper compares three techniques for dealing with infinite dimensional linear matrix inequalities (LMIs) for robust performance analysis: the gridding based approximation, the polytopic relaxation and the linear fractional representation based ...
Pfifer, Harald +7 more
core +1 more source
Deployment of an aging‐based controller during designing of optimal lithium‐ion battery—supercapacitor (LB‐Sc) hybrid energy storage system (HESS) capacity, in off‐grid IREMGs, improves performance of the LB and reduces its aging rate. Also, annualised cost of the LB‐Sc HESS improves by 33.15% in relation to optimal LB SESS.
Isaac Gwayi +2 more
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
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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
ABSTRACT The safety verification of neural network (NN) controllers operating in uncertain environments characterized by unmodeled dynamics, nonlinearities, and time delays remains a fundamental challenge in robust control analysis. This article introduces a novel method, termed Keep‐Close, for analyzing the performance and robustness of uncertain ...
Abdelhafid Zenati, Nabil Aouf
wiley +1 more source
Abstract Multispectral three‐dimensional (3D) imaging offers substantial potential for plant phenotyping, yet manual segmentation of plant organs remains a bottleneck in breeding programs. We developed a color‐based filtering workflow for faba bean (Vicia faba L.) point clouds that optimizes lower and upper thresholds of spectral indices and broadband ...
Lennart Scheer +6 more
wiley +1 more source
Passive Fuzzy Controller Design for the Parameter-Dependent Polynomial Fuzzy Model
This paper discusses a passive control issue for Nonlinear Time-Varying (NTV) systems subject to stability and attenuation performance. Based on the modeling approaches of Takagi-Sugeno (T-S) fuzzy model and Linear Parameter-Varying (LPV) model, a ...
Cheung-Chieh Ku +3 more
doaj +1 more source

