Nonlinear System Identification Method based on Multi-dimensional Taylor Network and its Applications in Construction Safety Monitoring

DOI

10.2991/iceep-18.2018.41How to use a DOI?

Keywords

Nonlinear System Identification, Multi-dimensional Taylor Network, Safety Monitoring, Prediction Abstract

Abstract

A novel nonlinear system identification method based on the Multi-dimensional Taylor Network is proposed in this paper. It provides a new method to identify the nonlinear system, which can describe the dynamic characteristics without prior knowledge and can realize the prediction of the nonlinear time series just with input-output data. Firstly, the structure of the Multi-dimensional Taylor Network is introduced. Then, a dynamic model based on the Multi-dimensional Taylor Network is established. Finally, this method is applied in construction safety monitoring to predict the vibration response of building structures. Results from the simulation example demonstrate the effectiveness and feasibility of the proposed method. Introduction

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yi Lin
AU  - Yifei Chen
AU  - Liling Zhao
AU  - Yufang Wang
PY  - 2018/09
DA  - 2018/09
TI  - Nonlinear System Identification Method based on Multi-dimensional Taylor Network and its Applications in Construction Safety Monitoring
BT  - Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
PB  - Atlantis Press
SP  - 238
EP  - 241
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-18.2018.41
DO  - 10.2991/iceep-18.2018.41
ID  - Lin2018/09
ER  -