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Closed loop near time optimal magnetic attitude control using dynamic weighted neural network

Heydari, A ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/MED.2008.4602197
  3. Publisher: 2008
  4. Abstract:
  5. The problem of time optimal magnetic attitude control is treated and an open loop solution is first obtained using a variational approach. In order to close the control loop, a neural network with time varying weights is proposed as a feedback optimal controller applicable to the time varying nonlinear system. The good robustness and low real-time computational burden of the proposed neuro-controller makes the controller more useful compared to the other control methods. © 2008 IEEE
  6. Keywords:
  7. Attitude control ; Image classification ; Industrial engineering ; Navigation ; Neural networks ; Nonlinear systems ; Robust control ; Robustness (control systems) ; Spatial variables control ; Time varying networks ; Closed loops ; Computational burden ; Control and automation ; Control loops ; Control methods ; Open loops ; Optimal controllers ; Time varying ; Time-optimal ; Variation AL approach ; Control theory
  8. Source: 2008 Mediterranean Conference on Control and Automation, MED'08, Ajaccio-Corsica, 25 June 2008 through 27 June 2008 ; 2008 , Pages 23-28 ; 9781424425051 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4602197