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Constrained synchronization control of networked nonlinear Euler-Lagrange systems

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Conference
  • Session
  • Wednesday, 05 June 2013
  • 00:5 - 00:5
  • Duration: 13 mins
  • Publication date: 05 Jun 2013
  • Location: IETTV_Room, IETTV_Venue, Birmingham, United Kingdom
  • Part of event Control and Automation Conference 2013

About the session

In this presentation, two control algorithms for constrained synchronization control of networked Euler-Lagrange (EL) systems are developed. The first proposed distributed control law requires full state feedback where boundedness of the control efforts are guaranteed for all initial system conditions. The second proposed control law is based on output feedback and does not require velocity measurements. Simulation results for the state synchronization control of networked planar robots are reported in order to verify the theoretical analysis and to compare the performance of the proposed synchronization controllers with other results that are available in the literature.

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  • AM

    A. R. Mehrabian

    Concordia University, Department of Electrical and Computer Engineering, Graduate Research Assistant

    PhD Candidate and Graduate Research AssistantDepartment of Electrical and Computer EngineeringConcordia University.An engineering professional with a PhD degree in Electrical and Computer Engineering and Bachelor and Master degrees in Mechanical Engineering. With more than nine years solid of experience in Development and validation of training/flight/aerospace simulation software, Control systems design for flight vehicles, robots, spacecraft and gas turbine engines, Software development, validation and verification, Dynamic modeling and vibration analysis, Fluid mechanics/dynamics, thermodynamics and gas turbine engines, Matlab scripting and Simulink-based control system design, testing, validation and verification, and has published more than 35 publications in international journals and conferences.Mehrabian is interested in development of innovative solutions for practical problems that arise in aerospace, simulation and software industries.
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