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Course Detail

Course Name Modeling and Simulation of Engineering Systems
Course Code 19MEE334
Program B. Tech. in Mechanical Engineering
Year Taught 2019


Unit 1

Fundamental concepts in mathematical modeling: Abstraction-linearity and superposition-balance and conservation laws and the system boundary approach.
Lumped element modeling: Mechanical systems- Translational, rotational. Hydraulic systems. Thermal systems.RLC electrical systems. Modeling analogies.

Unit 2

Modeling of first order and second order systems: Governing equations for free and forced responses – transient response specifications – experimental determination of time constant and damping coefficient. Laplace Transforms. State space formulation.
Frequency response of Linear Time Invariant (LTI) systems: Frequency response of first order and second order systems – Transfer function – mathematical features – Bode plots-Relating time domain, frequency domain and state space.
Introduction to modeling and analysis of nonlinear engineering systems.

Unit 3

Introduction to linear system identification – time and frequency domain identification – discrete time input output models for LTI systems – linear least square parameter estimation.

Objectives and Outcomes

Course Objectives

  • Provide a generalized framework on modelling of engineering system through lumped parameter elements
  • Introduce and apply different mathematical tools to analyse models of engineering systems
  • Familiarize the use of software tools for solving engineering problems.

Course Outcomes

  • CO1: Develop mathematical models for engineering systems in different domains and derive analogies
  • CO2: Analyze first and second order linear and nonlinear systems in time and frequency domain
  • CO3: Perform system identification for linear time invariant systems
  • CO4: Simulate mathematical models of engineering systems using simulation software.

CO – PO Mapping

CO1 3 3 2 2 1 3 2
CO2 3 3 1 2 1 3 2
CO3 3 3 1 2 1 3 2
CO4 3 3 2 2 1 3 2

Textbook / Reference


  • Cha P.D, Rosenberg J.J and Dym C.L, Fundamentals of Modeling and Anlayzing Engineering Systems, Cambridge University 2000
  • Keesman, Karel J. System identification: an introduction. Springer Science & Business Media, 2011.


  • Katsuhiko Ogata, System Dynamics, 4th Edition, Pearson Prentice Hall, 2004.
  • Karnopp D C, Margolis D L and Rosenberg R C,Modeling and Analysis of Mechatronic Systems, Wiley Interscience, 3rd Ed, 1999.
  • Doebelin E O, System Dynamics: Modeling, Analysis, Simulation and Design, Marcel Dekker 1998.

Evaluation Pattern

Assessment Internal External
Periodical 1 (P1) 15
Periodical 2 (P2) 15
*Continuous Assessment (CA) 20
End Semester 50
*CA – Can be Quizzes, Assignment, Projects, and Reports.

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