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Sandeep Kumar, Lovely Professional University
                                                                            Unit 2: Simulation of Continuous System (I)



                     Unit 2: Simulation of Continuous System (I)                                  Notes





              CONTENTS
              Objectives
              Introduction

              2.1  Simulation of Continuous Systems
                   2.1.1 A Chemical Reactor
                   2.1.2 Numerical Integration vs Continuous System Simulation
              2.2  Summary
              2.3  Keywords
              2.4  Self Assessment
              2.5  Review Questions
              2.6  Further Readings




            Objectives

            After studying this unit, you will be able to:
               Understand the simulation of continuous systems
               Describe Numerical integration vs continuous system simulation
               Explain the selection of integration formula

            Introduction


            CSSL(Continuous  System  Simulation Language)  versions  I,  II,  III,  IV  and  V have  been
            commercially available since 1968. CSSL-I was developed for Jet Propulsion Labs in 1968. CSSL-
            III was widely distributed from 1969-1975. CSSL-IV (interactive version) was developed by R.
            Nilsen and ran on over 30 different computers. Currently CSSL-V is marketed by Simulation
            Services International and available on PCs and workstations.
            2.1 Simulation of Continuous Systems


            Continuous System Simulation illustrates analytically and  systematically how mathematical
            models of dynamic systems, typically described by sets of either ordinary or partial differential
            equations perhaps attached with algebraic equations, can be simulated on a digital computer.
            Modern modelling and simulation environments alleviate the occasional user from having to
            understand how simulation actually works. Once a mathematical model of a process has been
            formulated, the modelling and simulation environment compiles and simulates the model, and
            curves of result trajectories occur magically on the user’s screen. Yet, magic has a propensity to
            fail, and it is then that the user must recognize what went wrong, and why the model could not
            be simulated as predictable.







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