Disturbance Observer-Based Fuzzy Adaptive Containment Control of Nonlinear Multi-agent Systems with Input Quantization.
Zan LiYingnan PanJingmin MaPublished in: Int. J. Fuzzy Syst. (2022)
Keyphrases
- multi agent systems
- adaptive fuzzy
- adaptive control
- variable structure
- external disturbances
- adaptive controller
- tracking error
- adaptive neural
- fuzzy controller
- control system
- single input single output
- highly nonlinear
- fuzzy logic controller
- sliding mode
- control strategy
- sliding mode control
- fuzzy sets
- feedback control
- membership functions
- tracking control
- fuzzy logic
- control signals
- nonlinear functions
- fuzzy rules
- fuzzy numbers
- control algorithm
- neural network
- multi agent
- cooperative
- game theory
- optimal control
- fuzzy neural network
- nonlinear dynamics
- autonomous agents
- control method
- rough sets
- np complete
- quantization error
- fuzzy clustering
- agent systems
- neural network controller
- model predictive control
- control law
- tree patterns
- subband image coding
- pi control
- input output