JOURNAL ARTICLE

QUALITATIVE SIMULATION OF TECHNICAL SYSTEMS USING THE GENERAL SYSTEM PROBLEM SOLVING FRAMEWORK

François E. Cellier

Year: 1987 Journal:   International Journal of General Systems Vol: 13 (4)Pages: 333-344   Publisher: Taylor & Francis

Abstract

Abstract In this paper, it is discussed how the General System Problem Solving (GSPS) Framework1 can be applied to the identification of technical systems for the purpose of a qualitative simulation of such systems. Both advantages and severe shortcomings of this identification technique are demonstrated, and it is discussed under what circumstances this technique may eventually lead to good results. Major emphasis is devoted to the design of multi-layered hierarchical control systems.

Keywords:
Identification (biology) Computer science System identification Management science Systems engineering Software engineering Engineering Data modeling

Metrics

23
Cited By
5.58
FWCI (Field Weighted Citation Impact)
3
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Software Reliability and Analysis Research
Physical Sciences →  Computer Science →  Software
Advanced Data Processing Techniques
Physical Sciences →  Engineering →  Control and Systems Engineering
Systems Engineering Methodologies and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering

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