Page 267 - DCAP601_SIMULATION_AND_MODELING

Unit 13: Simulation Languages (I)

polar ice cap melting, steam power plants etc. There is virtually no limit to the kinds of physical Notes
phenomena that can be modeled by a system of ODE’s. Some systems though can not have all
derivative terms specified explicitly from known inputs and other ODE outputs. Those derivative
terms are defined implicitly by other system constraints such as Kirchoff’s law that the flow of
charge into a junction must equal the flow out. To solve these implicit ODE systems a converging
iterative scheme such as Newton-Raphson must be employed.

Advanced Continuous Simulation Language

The Advanced Continuous Simulation Language, or ACSL (pronounced “axle”), is a computer
language designed for modelling and assessing the performance of continuous systems described
by time-dependent, nonlinear differential equations. It is a dialect of the Continuous System
Simulation Language (CSSL), originally designed by the Simulations Council Inc (SCI) in 1967
in an attempt to unify the continuous simulations field.

Task Analyze the difference between Continuous Simulation Language and Advanced
Simulation Language

Language Highlights

ACSL is an equation-oriented language consisting of a set of arithmetic operators, standard
functions, a set of special ACSL statements, and a MACRO capability which allows extension of
the special ACSL statements.
ACSL is intended to provide a simple method of representing mathematical models on a digital
computer. Working from an equation description of the problem or a block diagram, the user
writes ACSL statements to describe the system under investigation.

An important feature of ACSL is its sorting of the continuous model equations, in contrast to
general purpose programming languages such as Fortran where program execution depends
critically on statement order.

Did u know? Applications of ACSL.

Applications of ACSL in new areas are being developed constantly. Typical areas in which
ACSL is currently applied include control system design, aerospace simulation, chemical
process dynamics, power plant dynamics, plant and animal growth, toxicology models,
vehicle handling, microprocessor controllers, and robotics.

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Caselet T20 Scenarios in Finance

n today's turbulent business environment, the year-end finance figures are scorecards
of the complete match, while breaking into events and analysing the same is like
Itaking 20-20 snapshots.
As with every financial year closure, this is the time that reveals to managements an
integrated view of financial outcomes resulting from a series of business decisions made
Contd...

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