Distributed low-complexity output feedback tracking control for nonlinear multi-agent systems with unmodeled dynamics and prescribed performance.
Xuan CaiChaoli WangGang WangYu LiLuyan XuZhihua ZhangPublished in: Int. J. Syst. Sci. (2019)
Keyphrases
- low complexity
- tracking control
- adaptive neural
- multi agent systems
- nonlinear systems
- neural network
- control law
- feed forward
- multi agent
- motion estimation
- tracking error
- computational complexity
- dynamical systems
- peer to peer
- fuzzy model
- real time
- learning rate
- adaptive control
- distributed video coding
- recurrent neural networks
- fuzzy systems
- fuzzy inference system
- fuzzy controller
- lyapunov function
- artificial neural networks
- optical flow