This paper studies constraint certification in synchronous distributed model predictive control (DMPC) when neighboring predictions change between sampling instants. Before the parallel local solves, each agent communicates a shifted prediction and an announced update budget. A hard trajectory trust region makes that b...
Sheng-Jun Zhang, Ting Liu, Lei Xu et al.· arXiv.org· 0 citations
An intersample separation theorem under bounded snapshot and directional plant errors, an exact max-min test for simultaneous local feasibility, and a sensing-radius condition for switching interaction graphs are given.
Sheng-Jun Zhang, Wen-Hao Li, Zhen-Xing Lin et al.· 0 citations
This work studies causal retention: whether a frozen learned state answers a mechanism-probe map fixed independently of training, including action, context, direct target, value, and delay, which is distinct from task sufficiency and source-domain decodability.
Sheng-Jun Zhang, Ting Liu, Dong Xie et al.· 0 citations
A sharp contraction-per-scalar bound within the matching class and convergence guarantees for the core and sparse-momentum updates are derived for the core and sparse-momentum updates.
Sheng-Jun Zhang, Ting Liu, Heng Zhang et al.· 0 citations
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