Computer Aided Control System Design
Multidisciplinary System Simulation
Chair: Herman Mann
Control Systems Society IEEE

home glossary groups people publications software onlinetools benchmarks courses news

Multidisciplinary System Simulation Glossary

energy domain,
  electrical power variables: electrical voltage, electrical current
   magnetic power variables: magnetic voltage, rate of magnetic flux
   thermal power variables: temperature, entropy flow
   fluid power variables: pressure, volume flow
   acoustic power variables: pressure, volume flow
   translational power variables: velocity, force
   rotational power variables: angular velocity, torque
   entries regions in the module boundary surface to which the energy interactions of the module are assumed to be constrained; the interactions through the remainder of the boundary are neglected
   interactions of a system module correspond to the energy flow (power intake) through the individual energy entries in the module boundary
   real process of observing and measuring the energy interactions of a dynamic system while it is exerted to certain conditions and excitations
   simulation process of observing the energy interactions of a dynamic system model by simulation using a system model exerted to certain conditions and excitations
level of modeling
   abstraction selection of model attributes (e.g. conceptual, functional, physical or technological)
   idealization chosen interrelation of model variables (e.g. linear or nonlinear, time-invariant or time variable, lumped- or distributed-parameter, etc.)
   granularity chosen zooming in system modularization (e.g., devices from which the dynamic system is actually assembled, parts or aggregates of such devices, or just some dynamic effects)
mechatronics  approach to the of intelligent dynamic systems integrated across engineering disciplines
modeling transition from a dynamic system to a model description of a certain level of modeling abstraction, idealization and granularity
   interval interval of time, of ambient parameters and of system variables as well as of their time rates determined by model validation
   conceptual characterizes causes-and-effects in a dynamic system or system module respecting algebraic rules
   functional characterizes interrelations of variables a dynamic system or system module respecting algebraic rules
   physical characterizes continuous-time continuous-level energetic interactions of system modules respecting physical laws
   technological model of a technological process required to produce a dynamic system
  multilevel model the parts of which are considered on a different level of modeling abstraction
   multidomain physical model the parts of which belong to different energy domains
   discrete functional model the model variables of which are approximated by discrete-time and/or discrete-level functions
   hybrid discrete model combined with a physical model or a continuous-time continuous-level functional model
   representation geometric (showing geometric dimensions and positions), structural (displaying the topology of internal structure) or behavioral (concerned only about the outer effects)
   description equations, block diagram, bond graph, multipole diagram, etc.
   identification process of determination of model parameters based on physical hypotheses and/or experiments
   validation process of relating the system model or module model to a class of experiments to be performed on a dynamic system
   variables characterize the current dynamic state of a model
   parameters characterize a model regardless of its current dynamic state
   boundary geometric surface chosen in such a way that it completely encircles a system module without cutting into the boundary of any other module. The boundary itself has zero thickness, but it can be movable
   model abstract and idealized representation of a system module in the form of a model description related to a class of experiments
multipole module model of energy interactions of a system module governed by the three multipole postulates
   pole representation of a scalar energy interaction of an energy entry of a system module
   section subset of multipole poles respecting the multipole postulate of continuity
multipole postulate of
   power intake states that the energy interactions of a multipole are fully represented by its pole-across and pole-through variables
   continuity states that the sum of all the pole-through variables of a multipole section equals to zero
   compatibility states that across variable between poles in a multipole section equals to the difference of pole-across variables of the poles
   real dynamic system built to verify correctness of a system design by experiments
   virtual system model set up to verify correctness of a system design by simulation experiments
   across-variable voltage of the electrical ground, temperature at the zero point on the absolute or Celsius' scale, pressure of free-space atmosphere, velocity of the absolute frame, etc.
   dynamic region in space filled with quantities of matter interrelated by energy interactions
   mechanical collection of bodies in which some or all of the bodies can move relative to one another
   mechatronic multidisciplinary system with intelligent control
   multidisciplinary dynamic system the investigation of which requires experts from different traditional engineering disciplines
   analysis a subset of system simulation related to an analysis mode
   design process of determining the structure and parameters of a dynamic system respecting specified criteria
   synthesis systematic and unambiguous system design procedure
   optimization process of modification of system model parameters to achieve specified criteria
   diagnostics investigation of the cause of a (possible) dynamic system failure
   surroundings mass or region outside a dynamic system
   model abstract and idealized representation of a dynamic system in the form of a model description related to a class of experiments
   module part of a dynamic system separated from the remainder of the system by a module boundary
   modularization process of imaginary decomposition of a real dynamic system into real system modules
   power pairs of physical quantities in an energy domain - an across and a through variable - the products of which approximate the bulk values of energy interactions of a system module
   across power variables which can be measured between distant energy entries without any severing entry into the dynamic system
   through power variables which are measured at one energy entry only, but to measure such a variable directly one must severe the dynamic system at that entry and insert a measuring instrument between the entry and the remainder of the system
   pole-across across variables of individual poles of a multipole with respect to an across-variable reference
   pole-through through variables of individual poles of a multipole

This page was last updated on Sunday October 09, 2011 .