Dmitry Vasilyev

TL;DR: In this paper, a method for generating reduced models for a class of nonlinear dynamical systems, based on truncated balanced realization (TBR) algorithm and a recently developed trajectory piecewise-linear (TPWL) model order reduction approach, was proposed.

TL;DR: The results suggest that various fields of human disease research, from drug development to consumer product testing and environmental impact analysis, could benefit from using the methodology developed, which leverages mechanistic network models and transcriptomic data to quantitatively assess the biological impact of exposures to active substances.

TL;DR: The technique is a modification of the recently developed trajectory piecewise-linear approach, but uses ideas from balanced truncation to produce much lower order and more accurate models.

TL;DR: An algorithm is presented that combines the advantages of widely-used approaches such as PRIMA and TICER but avoids many of the drawbacks of both and is capable of high-order rational approximation, exploits network sparsity, and preserves passivity.

TL;DR: In this paper, a charging system for autonomous transport vehicles including at least one charging contact disposed on each pick floor level of a storage and retrieval system, each of the charging contact being located at a transfer station, and a controller in communication with the transfer station and being configured to communicate information relating to a transfer of items between the transfer stations and a predetermined one of the vehicles and to apply power from the power supply to the at least charging contact for charging the vehicle corresponding to the transfer and located at the transfer, wherein the controller is configured to supply power to the charging contacts simultaneously