Adaptive Tracking Control for a Class of Uncertain Nonlinear Multi-Agent Systems With Input Quantization Based on Neural Approach.
Yun ShangBing ChenChong LinZhiliang LiuPublished in: IEEE Access (2019)
Keyphrases
- tracking control
- nonlinear systems
- adaptive neural
- multi agent systems
- tracking error
- control law
- neural network
- adaptive control
- fuzzy model
- nonlinear functions
- adaptive fuzzy
- fuzzy control
- controller design
- linear matrix inequality
- knowledge base
- single input single output
- feed forward
- takagi sugeno
- decision making
- real time