An Approximate Model Based on Feature Matrix for Nonlinear Hybrid Systems

DOI

10.2991/amms-17.2017.42How to use a DOI?

Keywords

nonlinear hybrid systems; feature matrix; truth table; linearizing

Abstract

Nonlinear hybrid systems are focused on. A modeling framework based on the feature matrix, which is a matrix of Boolean function of the truth table, is proposed. Then, we study a special kind of nonlinear hybrid systems. This kind of systems is linearized by the means of Taylor series expansion, where linearizing parameters can be avoided due to all elements of the feature matrix are zero or one, which leads not to linearize each location of the model.

Copyright

© 2017, 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  - Shihan Yang
AU  - Qiong Yu
PY  - 2017/11
DA  - 2017/11
TI  - An Approximate Model Based on Feature Matrix for Nonlinear Hybrid Systems
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 190
EP  - 194
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.42
DO  - 10.2991/amms-17.2017.42
ID  - Yang2017/11
ER  -