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.
Papers
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Passivity-based output feedback control of Markovian jump systems with discrete and distributed time-varying delays
TL;DR: A Lyapunov–Krasovskii function is constructed to establish new required sufficient conditions for ensuring exponentially mean-square stability and the passivity criteria, simultaneously, and produces linear matrix inequality formulation that allows obtaining controller gains based on a convex optimisation method.
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Bond graph modeling and simulation of wind turbine systems
Tore Bakka,Hamid Reza Karimi +1 more
TL;DR: This paper presents a nonlinear model of a wind turbine generating system, containing blade pitch, drive train, tower motion and generator, which will be modeled by means of bond graph.
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Peak power demand and energy consumption reduction strategies for trains under moving block signalling system
TL;DR: In this paper, two novel approaches, Service Headway Braking (SHB) and Extended Stopping Distance Interval (ESDI), are proposed according to available and unavailable extra station dwell times, respectively.
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Adaptive synchronization of master–slave systems with mixed neutral and discrete time‐delays and nonlinear perturbations
TL;DR: In this article, a delay-dependent adaptive synchronization problem of the master and slave structure of linear systems with both constant neutral and time-varying discrete time-delays and nonlinear perturbations based on the Barbalat lemma and matching conditions was investigated.
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H-infinity robust controller design for the synchronization of master-slave chaotic systems with disturbance input
TL;DR: This research presents a novel and scalable approach to estimating the response of the immune system to laser-spot assisted, 3D image analysis for the first time.