Distributed artificial neural networks-based adaptive strictly negative imaginary formation controllers for unmanned aerial vehicles in time-varying environments

Keyphrases

• Neural Network 100%
• Artificial Neural Network 100%
• UAV 100%
• Time-varying Environment 100%
• Formation Controller 100%
• Negative Imaginary 100%
• Control Method 50%
• Learnability 50%
• Multi-agent Systems 50%
• Controller 50%
• Relative Position 50%
• Quadcopter 50%
• Adaptive Control System 50%
• Dynamic Load 50%
• Formation Control 50%
• Multi-robot Systems 50%
• Experimental Validation 50%
• Output Feedback Consensus 50%
• Kharitonov's Theorem 50%
• Systems-based 50%
• Formation Control Algorithm 50%

Computer Science

• Formation Control 100%
• Neural Network 100%
• Unmanned Aerial Vehicle 100%
• Adaptive Control Systems 50%
• Control Algorithm 50%
• Multi Agent Systems 50%
• Dynamic Loads 50%
• Output Feedback 50%
• multiple robot 50%
• Relative Position 50%