Further studies on impulsive consensus of multi-agent nonlinear systems with control gain error.
Tiedong MaLiuyang ZhangZhenyu GuPublished in: Neurocomputing (2016)
Keyphrases
- nonlinear systems
- adaptive control
- tracking control
- controller design
- multi agent
- inverted pendulum
- tracking error
- adaptive neural
- control law
- adaptive fuzzy
- stability analysis
- lyapunov function
- adaptive neural control
- control theory
- fault tolerant control
- control system
- control method
- fuzzy model
- fuzzy control
- fuzzy systems
- fuzzy controller
- learning rate
- control strategy
- dead zone
- takagi sugeno
- reinforcement learning
- chaotic systems
- optimal control
- closed loop
- control problems
- input output
- error rate
- real time
- sliding mode
- cellular neural networks
- dynamical systems
- computational intelligence
- least squares
- fuzzy logic
- artificial neural networks
- evolutionary computation
- pattern recognition
- control algorithm