Automating physical system modelling using bond graphs

1989 ◽  
Vol 21 (9) ◽  
pp. 584-588
Author(s):  
S.J. Hood ◽  
E.R. Palmer ◽  
D.H. Withers
Keyword(s):  
Physical System ◽  
System Modelling ◽  
Bond Graphs

Modularity and Causality in Physical System Modelling

1987 ◽  
Vol 109 (4) ◽  
pp. 384-391 ◽  
Author(s):  
N. Hogan
Keyword(s):  
Differential Equations ◽  
Mathematical Models ◽  
Physical System ◽  
Complete System ◽  
System Modelling ◽  
Physical Systems ◽  
Parallel Connections

Decomposition and reassembly of a physical system should not change the form of its describing equations; the physics and mechanics describing each component of a machine remain the same whether the components are separate or assembled into a complete system. In general, the differential equations used to model physical systems do not share this property. This paper considers restrictions on the structure of mathematical models of physical systems which endow the equations with the same modularity as the physical system. It is shown that models based on nonenergic junctions (ideal series and parallel connections) cannot guarantee this property. Generalized energic junction structures are proposed and it is shown that they are sufficient to guarantee modularity.

A Cyber-Physical System Modelling Framework for an Intelligent Urban Traffic System

2019 ◽  
Vol 23 (2) ◽  
Author(s):  
Miriam Carlos Mancilla ◽  
Emmanuel López Neri ◽  
Luis A. Hermenegildo Dominguez
Keyword(s):  
Physical System ◽  
Urban Traffic ◽  
Cyber Physical System ◽  
System Modelling ◽  
Traffic System ◽  
Modelling Framework

Exploiting Bond Graph Causality in Physical System Models

1987 ◽  
Vol 109 (4) ◽  
pp. 378-383 ◽  
Author(s):  
R. C. Rosenberg
Keyword(s):  
Physical System ◽  
Dynamic Structure ◽  
Bond Graph ◽  
Additional Research ◽  
Bond Graphs ◽  
State Equations ◽  
Design Assessment ◽  
Direct Interpretation ◽  
Junction Structure ◽  
Structure Properties

Causality as a concept and a tool associated with bond graphs has seen use for more than twenty years. Our principal purpose in this paper is to bring together several different views and applications of causality in order to suggest how valuable it can be in understanding the dynamic structure of models. The topics considered include causality assignment, both traditional and nontraditional, and state equations; design assessment of models based on direct interpretation; and junction structure properties. The topics are illustrated by examples. Some opportunities for additional research into causality properties and applications are suggested.

Coping with Complexity in Physical System Modelling

1990 ◽  
Vol 3 (2) ◽  
pp. 48-57 ◽  
Author(s):  
R.R. Leitch ◽  
M.E. Wiegand ◽  
H.C. Quek
Keyword(s):  
Physical System ◽  
System Modelling
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