Qualitative modeling and simulation of dynamic systems

Molle, D. T. Dalle; Kuipers, Benjamin; Edgar, Thomas F.

doi:10.1016/0098-1354(88)87013-3

Cited by 46 publications

(6 citation statements)

References 6 publications

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“…This philosophy has been adopted in many previous attempts to address the problem of disturbance analysis in complex processes (Andow and Lees, 1975;Iri et al, 1979;Long et al, 1980;Bast1 and Felkel, 1980;Martin-Solis et al, 1982;Danchak, 1982;Tsuge et al, 1985a). Yet little fundamental work on qualitative modeling of disturbance propagation in chemical plants has been done, several exceptions being Umeda et al (1980), Andow et al (1980), Lees (1984), and Dalle Molle and Edgar (1987). Other studies of qualitative modeling are currently being conducted in the field of artificial intelligence; a useful compilation of this research given in Bobrow (1985a).…”

Section: Introductionmentioning

confidence: 99%

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Qualitative simulation of chemical process systems: Steady‐state analysis

1988

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A method of qualitative simulation for continuous process systems that predicts the steady-state measurement patterns generated as a result of process malfunctions is presented. The method is based on qualitative versions of the steady-state process equations and requires no numerical information beyond the signs and relative values of certain groups of parameters. Previous methods of qualitative simulation (Umeda et al., 1980; de Kleer and Brown, 1984;Forbus, 1984;Kuipers, 1986) have tended to generate multiple solutions that do not coincide with any observable system behaviors. In the current method, spurious solutions are reduced using "latent" constraints associated with analytically redundant model equations, and "nonlatent" constraints based on causality, and derived from the extended signed directed graph (ESDG). The ESDG is similar to the signed directed graph (SDG) (Iri et al., 1979), but includes certain nonphysical branches that account for complex dynamics (inverse and compensatory response due to negative feedback). Necessary conditions based on the topology of the SDG for the occurrence of complex dynamics are developed. Based on these criteria, assumptions concerning disturbance propagation are introduced that minimize spurious interpretations of system behavior while guaranteeing inclusion of the steady-state response. The method is demonstrated by simulating the effects of equipment malfunctions on a model process.

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Section: Introductionmentioning

confidence: 99%

“…Thus, the relevant qualitative values for each variable are high (+), low (-), and normal (0). For simplicity, we do not concern ourselves with additional landmark values (Forbus, 1984), nor with the prediction of dynamic trends (Dalle Molle and Edgar, 1987), which would require a richer description of the state space.…”

Section: Introductionmentioning

confidence: 99%

Qualitative simulation of chemical process systems: Steady‐state analysis

1988

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“…The generation of multiple behaviors vs. one numerical solution is one of the biggest differences between qualitative and quantitative simulation. QSIM has been used to model a wide variety of physical systems including mass and spring systems (Lee and Kuipers, 1988), physiological mechanisms , and some chemical processes such as reaction and flow through mixing tanks (Dalle Molle et al, 1988;Dalle Molle, 1989). Problems with intractable branching where infinitely many behaviors are produced have limited the complexity and type of models built.…”

Section: Vol 41 Nomentioning

confidence: 99%

Model‐based approach to automated hazard identification of chemical plants

Catino

Ungar

1995

AIChE Journal

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“…A simple model of economic modeling can be found in Farley (1986). The latest investigations appear in the field of chemical engineering (Dalle Molle 1989; Dalle Molle et al 1988). where the questions of modeling and simulation are studied.…”

Section: Approaches To Qs On System Dynamics Modelsmentioning

confidence: 99%

Qualitative simulation and system dynamics

Dolado

1992

System Dynamics Review

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This article explores some requirements for applying qualitative simulation algorithms to system dynamics models. The field of qualitative simulation lacks a specific procedure for modeling systems (subjects of its models are generally physical systems). Bringing together qualitative simulation techniques and system dynamics modeling techniques could benefit both fields. The structural correctness of system dynamics models is defined using constraint theory. An attempt is made to alleviate some problems of qualitative simulation algorithms by drawing upon system dynamics modeling methods and by establishing the structure for the propagation of constraints in these models.

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Qualitative modeling and simulation of dynamic systems

Cited by 46 publications

References 6 publications

Qualitative simulation of chemical process systems: Steady‐state analysis

Qualitative simulation of chemical process systems: Steady‐state analysis

Model‐based approach to automated hazard identification of chemical plants

Qualitative simulation and system dynamics

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