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Vahid Hassani

Researcher at University of Sunderland

Publications -  20
Citations -  634

Vahid Hassani is an academic researcher from University of Sunderland. The author has contributed to research in topics: Hysteresis & Actuator. The author has an hindex of 7, co-authored 20 publications receiving 465 citations. Previous affiliations of Vahid Hassani include Singapore University of Technology and Design & Nanyang Technological University.

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A survey on hysteresis modeling, identification and control

TL;DR: In this paper, various mathematical models for hysteresis such as Preisach, Krasnosel’skii-Pokrovskii (KP), Prandtl-Ishlinskii (PI), Maxwell-Slip, Bouc-Wen and Duhem are surveyed in terms of their applications in modeling, control and identification of dynamical systems.
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Design and additive manufacture of functionally graded structures based on digital materials

TL;DR: In this paper, a complete design and manufacturing workflow that simultaneously integrates material design, structural design, and product fabrication of functionally graded material (FGM) structures based on digital materials is presented.
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Optimal Network Topology for Effective Collective Response.

TL;DR: In this article, the authors investigate the influence of the network topology on collective response in a leader-follower linear consensus model of distributed decision-making and study the collective capacity of the system to follow a dynamic driving signal (the leader) for a range of topologies and system sizes.
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Structural response investigation of a triangular-based piezoelectric drive mechanism to hysteresis effect of the piezoelectric actuator

TL;DR: In this paper, a new piezoelectric-based mechanism was proposed, modeled and tested, which was basically designed to be periodically excited while in contact with a driven surface, and the trajectory output of the structure is simulated using finite element approach while the excitation input to the model, -incorporating the hysteresis properties-, is predicted based on the proposed formulation.
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Optimal network topology for responsive collective behavior.

TL;DR: In this article, the authors consider an archetypal model of distributed decision-making and study the capacity of the system to follow a driving signal for varying topologies and system sizes.