Impulsive consensus of multi-agent nonlinear systems with control gain error.
Tiedong MaLiuyang ZhangFeiya ZhaoZhenyu GuYixiang XuPublished in: Neurocomputing (2016)
Keyphrases
- genetic algorithm
- nonlinear systems
- adaptive control
- tracking control
- controller design
- adaptive neural
- tracking error
- multi agent
- inverted pendulum
- control law
- adaptive fuzzy
- stability analysis
- adaptive neural control
- control theory
- fuzzy control
- lyapunov function
- learning rate
- fault tolerant control
- fuzzy controller
- control method
- dead zone
- fuzzy model
- control system
- fuzzy systems
- reinforcement learning
- chaotic systems
- control problems
- takagi sugeno
- neural network
- control strategy
- control scheme
- computational intelligence
- fuzzy rules
- error rate
- dynamic environments
- optimal control
- control parameters