This study investigates the distributed model free adaptive control (DMFAC) scheme for the consensus tracking problem of multiple high-speed trains (MHSTs) under input and output (110) saturations. Firstly, the nonlinear train dynamics are introduced, and followed by the modeling of the saturation channels. Then, by employing the linearization method, a data-driven DMFAC scheme is proposed, which is independent to any train model information. Next, a sufficient condition is conducted in the main results to guarantee the consensus of MHSTs. Finally, the numerical tests confirm the validity of the proposed data-driven DMFAC.
No takes yet. Share an insight, caveat, or question.
Yu et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: