Data-driven adaptive consensus control for heterogeneous nonlinear Multi-Agent Systems using online reinforcement learning.
Xiaoqiang JiXicheng ZhangShaoqing ZhuFuqin DengBin ZhuPublished in: Neurocomputing (2024)
Keyphrases
- data driven
- reinforcement learning
- multi agent systems
- adaptive control
- control problems
- multi agent
- adaptive neural
- multi agent reinforcement learning
- adaptive controller
- control system
- optimal control
- online learning
- learning algorithm
- learning capabilities
- robot control
- control policy
- real time
- tracking control
- control theory
- feedback control
- cooperative
- nonlinear dynamics
- highly nonlinear
- state space
- multi input multi output