Subject description - AD3B35MSD

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AD3B35MSD Modeling and simulation of dynamic systems Extent of teaching:14+6L
Guarantors:  Roles:PO,V Language of
Teachers:  Completion:Z,ZK
Responsible Department:13135 Credits:6 Semester:Z


The goal of the course is to teach you how to build control-oriented mathematical models of complex dynamic systems. The focus will be on modeling techniques that can glue together subsystems from diverse physical domains. We will show that the concept of energy (or power), which is universally valid across physical domains, is the right tool for combining electrical, mechanical, hydraulic, pneumatic, thermal and thermodynamic systems. Some of the methods presented in this course will be at least partially useful in the domains where the concept of energy is not so useful such as socio-economic systems. In total we will introduce three groups of modeling techniques, which are based on the concept of energy. Analytical methods based on the Lagrangean and Hamiltonian functions well known from the studies in theoretical physics and/or mechanics, object-oriented modeling as an alternative to the more widespread block-oriented modeling, and last but not least an intuitive graphical techniques known as bond graph modeling. Whichever methodology is followed to create the mathematical model, of of the ways to analyze it is a numerical simulation, that is, numerical solution of the corresponding differential or differential-algebraic equations. In this course we will be exposed to the basics of numerical techniques for differential and differential-algebraic equations with the objective to understand the basic issues such as approximation errors, numerical stability and suitability of the common methods for different classes of models.

Study targets:

Teach students to create mathematical models of realistically complex dynamic systems found in diverse application areas and analyze these by means of numerical simulations.

Course outlines:

1.) Overview of formats of mathematical models of dynamical systems; partially a recap and partially new
2.) Basic concepts and components for modeling using bond graphs. Simple examples for electrical, mechanical and hydraulic systems
3.) Modeling simple systems using bond graphs; adding causal strokes and extracting a signal model from a bond graph
4.) Obtaining state-space quations from causal bond graphs; further examples of modeling using bond graphs; reductions of bond graphs
5.) Introduction to the Lagrange methodology
6.) Using Lagrange methodology to model multibody mechanical systems
7.) Examples of modeling and simulation projects from industry.
8.) Software for modeling and simulation of dynamic systems
9.) Hybrid dynamic systems
10.) Thermal systems modeled using bond graphs
11.) Algorithms and concepts of numerical simulation of dynamical systems
12.) Algorithms and concepts of numerical simulation of dynamical systems
13.) Modeling distributed parameter systems using bond graphs

Exercises outline:

The exercises will be dedicated to the work on assigned projects.


The course is based on
[1. ] F. T. Brown, Engineering System Dynamics. A Unified Graph-Centered Approach, Second Edition, 2nd ed. CRC Press, 2006.
The book is available in about 30 copies in the FEL library in NTK. In this course we will rely on students having access to the book. Another nice book, which can to some extent replace [1] is
[2. ] D.C. Karnopp et al. System Dynamics: Modeling and simulation of mechatronic systems. Wiley, 4. vyd., 2006.
But students will not be required to have an access to this book. For more tips on literature, visit the course website


Solid mastering all the parts of physics (at the undergraduate level), above all mechanics, electromagnetism and thermodynamics. Familiarity with basic results from differential calculus (differential equations and their numerical solution) and linear algebra (sets of linear equations and their numerical solution).



Modelling, simulation, dynamic systems

Subject is included into these academic programs:

Program Branch Role Recommended semester
BKOI1 Computer Systems V 5
BKOI_BO Common courses V 5
BKOI3 Software Systems V 5
BKOI2 Computer and Information Science V 5
BKKYR3 Systems and Control PO 5
BKEEM1 Applied Electrical Engineering V 5
BKEEM_BO Common courses V 5
BKEEM2 Electrical Engineering and Management V 5
BKKME1 Communication Technology V 5
BKKME_BO Common courses V 5
BKKME4 Network and Information Technology V 5
BKKME3 Applied Electronics V 5
BKKME2 Multimedia Technology V 5
BIS(ECTS)-D Intelligent Systems V 5
BKSTMWM Web and Multimedia V 5
BKSTMSI Software Engineering V 5
BKSTMMI Manager Informatics V 5
BKSTMIS Intelligent Systems V 5
BKSTM_BO Common courses V 5
BSI(ECTS)-D Software Engineering V 5
BWM(ECTS)-D Web and Multimedia V 5
BMI(ECTS)-D Manager Informatics V 5

Page updated 24.6.2019 17:52:59, semester: Z,L/2020-1, L/2018-9, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)