Intelligent computing about complex dynamical systems

Feng Zhao

Mathematics and Computers in Simulation (MATCOM), 1994, vol. 36, issue 4, 423-432

Abstract: We develop computational mechanisms for intelligently simulating nonlinear control systems. These mechanisms enhance numerical simulations with deep domain knowledge of dynamical systems theory and control theory, a qualitative phase-space representation of dynamical systems, symbolic and geometric manipulation capabilities, and a high-level interface. Programs equipped with these capabilities are able to autonomously simulate a dynamical system, analyze the simulation results, and utilize the analysis to perform design tasks. We demonstrate the mechanisms with an implemented computational environment called the Control Engineer's Workbench.

Keywords: Qualitative reasoning; Scientific computing; Numeric/symbolic processing; Control system design (search for similar items in EconPapers)
Date: 1994
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0378475494900752
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:36:y:1994:i:4:p:423-432

DOI: 10.1016/0378-4754(94)90075-2

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().