Evolving Consensus Control With Iterative Q-Learning for Discrete-Time Multi-Agent Systems
This article investigates the value-iteration-based Q-learning (VIQL) scheme for discrete-time nonlinear multi-agent systems with unknown dynamics and constrained control inputs, aiming to address the optimal consensus control problem in multi-agent systems arising from practical engineering applications. First, an ite...