New Era of Intelligent Engineering Towards Autonomous Systems

被引:0
作者
Horvath, Laszlo [1 ,2 ]
机构
[1] Obuda Univ, Inst Appl Math, Budapest, Hungary
[2] Obuda Univ, Doctoral Sch Appl Informat & Appl Math, Budapest, Hungary
来源
INES 2021: 2021 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS | 2021年
关键词
engineering process; lifecycle engineering; engineering model system; engineering platform based virtual research laboratory; LEVEL; MODEL;
D O I
10.1109/INES52918.2021.9512902
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The old phrase that things have been thoroughly changed is now true more in engineering than ever before. This paper starts with a scenario which includes definition, methodology, systems relevance, and working environment of intelligent engineering. Starting from this scenario, engineering process model is proposed to provide a clear sight into engineering for achievements with autonomous features. The next issues in this paper is a new structure of engineering model system which is suitable for the design of lifecycle engineering process. Actual concepts such as propagation of changed inside and outside contexts, virtual execution of system level models using behavior representations, situation awareness supporting decisions on situation driven virtual and physical execution, integrating theoretical-experimental representations, and support operational decisions on engineering structures are considered. Finally, theoretical, methodological, and operational aspects of bringing world level engineering research into the Virtual Research Laboratory at the Doctoral School of Applied Informatics and Applied Mathematics, Obuda University are discussed.
引用
收藏
页数:5
相关论文
共 14 条
[11]   Fault Detection and Isolation of an Aircraft Turbojet Engine Using a Multi-Sensor Network and Multiple Model Approach [J].
Nyulaszi, Ladislav ;
Andoga, Rudolf ;
Butka, Peter ;
Fozo, Ladislav ;
Kovacs, Radovan ;
Moravec, Tomas .
ACTA POLYTECHNICA HUNGARICA, 2018, 15 (02) :189-209
[12]   A Survey of Knowledge Representation in Service Robotics [J].
Paulius, David ;
Sun, Yu .
ROBOTICS AND AUTONOMOUS SYSTEMS, 2019, 118 :13-30
[13]   Data-Driven Predictive Control for Autonomous Systems [J].
Rosolia, Ugo ;
Zhang, Xiaojing ;
Borrelli, Francesco .
ANNUAL REVIEW OF CONTROL, ROBOTICS, AND AUTONOMOUS SYSTEMS, VOL 1, 2018, 1 :259-286
[14]  
Sifakis Joseph, 2019, Models, Languages, and Tools for Concurrent and Distributed Programming: Essays Dedicated to Rocco De Nicola on the Occasion of His 65th Birthday. Lecture Notes in Computer Science (LNCS 11665), P388, DOI 10.1007/978-3-030-21485-2_21