A Two-Time-Scale Neurodynamic Approach to Constrained Minimax Optimization

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• Finished

  GRF: Intelligent Motion Control and Planning of Autonomous Underwater Vehicles

  WANG, J. (Principal Investigator / Project Coordinator) & Liu, Y. H. (Co-Investigator)

  1/01/15 → 11/06/19

  Project: Research

  • Neural Network 100%
  • Recurrent Neural Network 71%
  • Output Feedback 60%
  • Objective Function 59%
  • Optimization Problem 54%

• GRF: Neurodynamic Approaches to Constrained Optimization with Generalized-Convex and Multiple-Objective Functions

  WANG, J. (Principal Investigator / Project Coordinator) & LI, D. (Co-Investigator)

  1/01/13 → 15/06/17

  Project: Research

  • Neural Network 100%
  • Objective Function 85%
  • Optimization Problem 71%
  • Constrained Optimization 57%
  • Recurrent Neural Network 50%