H
Hamid Reza Karimi
Researcher at Polytechnic University of Milan
Publications - 981
Citations - 31217
Hamid Reza Karimi is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Control theory & Nonlinear system. The author has an hindex of 83, co-authored 874 publications receiving 24361 citations. Previous affiliations of Hamid Reza Karimi include University of Wollongong & University of Bremen.
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Modeling and backstepping control of the electronic throttle system
TL;DR: In this paper, a new backstepping controller is developed for the electronic throttle, which can make the actual angle of electronic throttle track its set point with the satisfactory performance, and a computer simulation is performed, and simulation results verify that the proposed control system can achieve favorable tracking performance.
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Robust Anti-Windup Control Considering Multiple Design Objectives
TL;DR: In this paper, a new saturation control technique is proposed to design multiobjective and robust anti-windup controllers for linear systems with input saturations based on the characterization of saturation nonlinearities and modeling uncertainties via integral quadratic constraints.
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Morphological diversity of some old accessions of Cupressus sempervirens L. in Iran
TL;DR: The aim of this research was to evaluate some old accessions of Cupressus sempervirens L. in Iran and identify any possible relationships exist among them based on phenotypical characteristics and show significant positive and negative correlations for certain important characteristics.
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Deep learning-based visual detection of marine organisms: A survey
TL;DR: Deep learning-based visual detection of marine organisms (VDMO) has attracted rapidly increasing attention paid to marine organisms, thereby expected to significantly benefit ocean ecology as discussed by the authors , and a comprehensive survey of deep learning based VDMO techniques are comprehensively revisited from a systematic viewpoint.
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Optimal-sustainable multi-energy management of microgrid systems considering integration of renewable energy resources: A multi-layer four-objective optimization
TL;DR: In this article , a multi-layer energy scheduling framework has been performed to simultaneously optimize operating cost, carbon emission, underground water extraction, and independency of the multi-energy system.