The automated symbolic derivation of state equations for dynamic systems

Conference · Tue Sep 01 04:00:00 EDT 1987

OSTI ID:5473389

Macfarlane, J; Donath, M

A system which is capable of generating symbolic state equations for dynamic systems is described. The underlying object-oriented knowledge representation structure is based on the bond graph modelling methodology which abstracts a complex system into a network of simple relations that describe the behavior of the system. Constraint propagation techniques provide a method for determining the causal relationships that must exist between system variables in a state determined system, thereby identifying a set of state variables for the system. The relation network and the state variables are manipulated by MACSYMA to define the state equations for the physical system dynamics. The availability of state equations in symbolic form allows the engineer to assess the influence of component parameters on the overall function of the physical system without having to resort to simulation iterations. This representation establishes the foundation for a model based reasoning system currently under development. 8 refs., 10 figs., 3 tabs.

• Research Organization: Lawrence Livermore National Lab., CA (USA); Minnesota Univ., Minneapolis (USA)
• DOE Contract Number: W-7405-ENG-48
• OSTI ID: 5473389
• Report Number(s): UCRL-97418; CONF-880315-3; ON: DE88000968
• Country of Publication: United States
• Language: English

Related Subjects

657000* -- Theoretical & Mathematical Physics
71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
99 GENERAL AND MISCELLANEOUS
990230 -- Mathematics & Mathematical Models-- (1987-1989)
AUTOMATION
CAUSALITY
COMPUTERIZED SIMULATION
EQUATIONS
EQUATIONS OF STATE
EXPERT SYSTEMS
MATHEMATICAL MODELS
SIMULATION