Adaptive Flocking of Multi-Agent Systems with Uncertain Nonlinear Dynamics and Unknown Disturbances Using Neural Networks.
Shiguang WuZhiqiang PuJianqiang YiJinlin SunTianyi XiongTenghai QiuPublished in: CASE (2020)
Keyphrases
- nonlinear dynamics
- neural network
- multi agent systems
- parameter uncertainties
- external disturbances
- adaptive fuzzy
- lyapunov exponents
- decision making
- agent systems
- pattern recognition
- artificial neural networks
- dynamical systems
- adaptive neural
- sliding mode control
- genetic algorithm
- game theory
- autonomous agents
- back propagation
- multi agent
- adaptive control
- coalition formation
- multilayer perceptron
- highly non linear
- power system