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M

M. F. Golnaraghi

Researcher at University of Waterloo

Publications -  38
Citations -  1555

M. F. Golnaraghi is an academic researcher from University of Waterloo. The author has contributed to research in topics: Vibration & Nonlinear system. The author has an hindex of 18, co-authored 38 publications receiving 1449 citations.

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Journal ArticleDOI

Experimental Research and Modeling of Magnetorheological Elastomers

TL;DR: In this article, two different magnetorheological elastomers, one made of polyurethane and the other made of natural rubber, are successfully fabricated, and the experimental results show that the modulus of the rubber elastomer can increase by 28% under a strong magnetic field.
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Active Structural Vibration Control: A Review

TL;DR: In this article, the authors present a generic procedure to the design process and give selective examples from the literature on relevant ma- terial, together with examples of their applications, such as structure modeling, model reduction, feedback control, feedforward control, con- trollability and observability, spillover, eigenstructure assign- ment (pole placement), coordinate coupling control, robust control, optimal control, state observers (estimators), intelli- gent structure and controller, adaptive control, time delay, actuator-structure interaction, and optimal placement of actuators
Journal ArticleDOI

Optimal design of passive linear suspension using genetic algorithm

TL;DR: In this paper, the GA method is applied to the optimization problem of a linear one-degree-of-freedom (1-DOF) vibration isolator mount and the method is extended to a linear quarter car suspension model.
Journal ArticleDOI

Semi-active Vibration Control Schemes for Suspension Systems Using Magnetorheological Dampers

TL;DR: In this paper, three semi-active control methods are investigated for use in a suspension system using a commer- cial magnetorheological damper, including the limited relative displacement method, the modified skyhook method, and the modified Rakheja-Sankar method.
Proceedings ArticleDOI

A quaternion-based orientation estimation algorithm using an inertial measurement unit

TL;DR: In this article, a real-time orientation estimation algorithm based on signals from a low-cost inertial measurement unit (IMU) is presented, which consists of three MEMS accelerometers and three MEMs rate gyros.