Assessment of computation methods for coalitional feedback controllers
Anca Maxim, Ovidiu Păucă, Jose Maria Maestre, Constantin F. Caruntu · 2022 European Control Conference (ECC) · 2022
This paper proposes a comparative assessment between gradient-based and LMI (Linear Matrix Inequality)-based computational methods for coalitional feedback controllers. The analysis is performed in the context of multi-agent networked systems with bidirectional communication links. In particular, we compare three methods based on gradient optimisation, which use different strategies to compute the feedback gain, with LMI-based methods typically employed to compute this type of controllers. The simulation results show that the proposed gradient-based methods can outperform the LMI-based methodology, but at the expense of higher computational cost.