Neural-network-based distributed adaptive asymptotically consensus tracking control for nonlinear multiagent systems with input quantization and actuator faults.
Yu LiChaoli WangXuan CaiLin LiGang WangPublished in: Neurocomputing (2019)
Keyphrases
- multiagent systems
- tracking control
- nonlinear systems
- multi agent
- adaptive neural
- tracking error
- control law
- distributed constraint optimization problems
- adaptive control
- closed loop
- neural network
- decentralized control
- control system
- adaptive fuzzy
- distributed systems
- control method
- nonlinear functions
- fuzzy model
- control scheme
- agent coordination
- fuzzy controller
- lyapunov function
- multi agent systems
- feed forward
- fault diagnosis
- cooperative
- decision making
- autonomous robots
- mathematical model