450-6015/02 – Modeling, Identification and Simulation in Technical Cybernetics (MISTK)

The graduate is able to create mathematical models, identify systems, perform simulations, and optimize behavior of systems under realistic conditions. He can reliably apply his expertise within the field of Technical Cybernetics through a professional approach using innovative methods. He is able to perform complex technical analysis of technical problems. He is able to independently search important information about the studied subject, study professional literature, interpret it and apply it to the solution of the problem. The knowledge gained in this subject allows the graduate to focus on his own creative scientific activity as part of his studies in the chosen field.

In this course the students will get acquainted with the selected advanced methods used in the field of modeling, identification and simulation with the use of modern powerful SW tools used in this field as standards on a global scale. The scope of the subject reflects the requirements for the knowledge and ability of the graduate doctorate in the given field, namely from the creation of a general multiphysical nonlinear model through its simulation verification and possible optimization to the inclusion of the model in the control structure. The knowledge gained in this subject allows the graduate to focus on his own creative scientific activity as part of his studies in the chosen field. From the categorization point of view, the main emphasis will be placed on the so-called physical modeling. The approach is also suitable for systems where several physical areas intersect (multiphysics). The description of the physical controlled process generally consists of one or more partial differential equations (PDRs). One of the partial topics in this subject is therefore the application of Finite Element Methods (FEM) leading to the finite element modeling in selected SW environment, especially for multiphysical problems. Once the model is assembled and identified, the use of advanced modeling techniques known as PIL, SIL, and HIL will be demonstrated, which are used just before the control systems are deployed to a real-world controlled process. A natural problem that is closely related to the focus of this subject is system optimization. In this course, selected advanced global optimization methods will be demonstrated, with both analytical and heuristic constraints (for example PSO, HBMO, ABC, BA, BCO and others) applied in the field of control theory.

Martin Arnold, Werner Schiehlen: Simulation Techniques for Applied Dynamics. ISBN 978-3-211-89547-4 Springer Wien New York. Darrell W. Pepper,‎ Juan C. Heinrich: The Finite Element Method: Basic Concepts and Applications with MATLAB, MAPLE, and COMSOL, Third Edition (Series in Computational and Physical Processes in Mechanics and Thermal Sciences). ISBN 978-1498738606. CRC Press. Katalin Popovici‎ Pieter J. Mosterman: Real-Time Simulation Technologies: Principles, Methodologies, and Applications (Computational Analysis, Synthesis, and Design of Dynamic Systems). ISBN 9781138077553, CRC Press.

Consultation of individual projects.