1 code implementation • 30 Mar 2022 • Edward L. Zhu, Francesco Borrelli
Dynamic games can be an effective approach to modeling interactive behavior between multiple non-cooperative agents and they provide a theoretical framework for simultaneous prediction and control in such scenarios.
1 code implementation • 2 Apr 2020 • Edward L. Zhu, Yvonne R. Stürz, Ugo Rosolia, Francesco Borrelli
We present a decentralized minimum-time trajectory optimization scheme based on learning model predictive control for multi-agent systems with nonlinear decoupled dynamics and coupled state constraints.