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Introduction

Sliding modecontrol (SMC)is recognized asone of the most efficientcontrolmethodsto reject system perturbations and disturbances. The main technical operationof an SMC is to force thesystem state trajectories onto some predefined sliding mode surfaces (e.g., linear sliding mode surfaces, higher-order sliding mode surfacesorterminal sliding mode surfaces)by utilizing a discontinuous control, such that the state trajectory will move along the sliding mode surfaces and achieve a desired performance such as stability, tracking ability anddisturbance rejection capability.

Due to such nice features, SMCtheory has become a general control design method and SMC technique has been widely appliedin practicalsystems, such as electric drives and mechatronic systems, power electronic systems,manipulators, vehicles, and spacecraft. Moreover, severalcombinedSMC methodshave also been developed,such as adaptive SMC, backstepping SMC and disturbance observer based SMC,for awide kind of systems including nonlinear, time-varying, discrete-time, stochastic, and distributed systems.Thus, it is meaningfuland challenging to develop novel SMC theories and methodsfornonlinear systems due toitsbroad application potentialsin modern society. In this context, we wish to propose aspecialsession for the IECON 2017entitledRecent Developments in Sliding Mode Control: Theory and Industrial Applications.

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Submission Topics

Topics of the Session:

  • SMC theory and methodology

  • Higher-order SMC

  • Terminal SMC

  • Adaptive SMC

  • Discrete-time SMC

  • SMC for stochastic or hybridsystems

  • Chattering analysis for SMC

  • Sliding mode observers

  • Applications of advanced SMCapproaches for dynamic systems: electric drives and mechatronic systems, power electronic systems, robotics, automotive industry, hydraulic/pneumatic actuators, aerial/aerospace vehicles, etc

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Important Date
  • Conference Date

    Oct 29

    2017

    to

    Nov 01

    2017

  • Nov 01 2017

    Registration deadline

Sponsored By
IEEE工业电子学会
Organized By
Southeast University
Institute of Automation, Chinese Academy of Sciences
School of Mathematics and Systems Science, Chinese Academy of Sciences
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