A backstepping approach to nonlinear model predictive horizon for optimal trajectory planning

HIGHLIGHTS

  • who: Younes Al Younes and Martin Barczyk from the Department of Mechanical Engineering, University of Alberta, Edmonton, AB T G , Canada have published the research work: A Backstepping Approach to Nonlinear Model Predictive Horizon for Optimal Trajectory Planning, in the Journal: Robotics 2022, 11, 87. of /2022/
  • what: In this work the control law is designed using the Backstepping Control technique.
  • how: This paper presents a novel trajectory planning approach for nonlinear dynamical systems a multi-rotor drone built on an optimization-based framework proposed by the authors named the Nonlinear Model Predictive . . .

     

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