Numerical methods of Analysis of Non-linear Dynamical Models - AP413005
Title: Numerical methods of Analysis of Non-linear Dynamical Models
Guaranteed by: Department of Mathematics, Informatics and Cybernetics (446)
Faculty: Faculty of Chemical Engineering
Actual: from 2021
Semester: both
Points: 0
E-Credits: 0
Examination process:
Hours per week, examination: 3/0, other [HT]
Capacity: winter:unknown / unknown (unknown)
summer:unknown / unknown (unknown)
Min. number of students: unlimited
Language: English
Teaching methods: full-time
Teaching methods: full-time
Level:  
For type: doctoral
Note: course is intended for doctoral students only
can be fulfilled in the future
you can enroll for the course in winter and in summer semester
Guarantor: Kubíček Milan prof. RNDr. CSc.
Axmann Šimon Mgr. Ph.D.
Examination dates   
Annotation -
Bifurcation phenomena in nonlinear dynamic systems. Branching of equilibrium states in the solution diagram, continuation, branch points, Hopf bifurcation, bifurcation diagram. Calculation of periodic solutions and their stability, continuation. Evolution diagram. Calculation of Ljapunov exponents using variational equations and fractal dimensions of attractor from time series. Numerical methods for analyzing systems with distributed parameters.
Last update: Pátková Vlasta (16.11.2018)
Aim of the course -

Solutions of projects, oral examination.

Last update: Pátková Vlasta (16.11.2018)
Literature -

Kubíček M., Marek M,: Computational Methods in Bifurcation Theory and Dissipative Systems. Springer, New York (1983).

Kuznetsov Y.: Elements of Applied Bifurcation Theory (2004).

Teschl G.: Ordinary Differential Equations and Dynamical Systems (2012).

Last update: Jahoda Milan (28.11.2018)
Teaching methods -

Self-study, consultations.

Last update: Pátková Vlasta (16.11.2018)
Syllabus -

1. Lumped parameter systems. Examples.

2. Continuation algorithm.

3. Diagram of stationary solutions.

4. Stability of stationary solutions.

5. Branching of stationary solutions.

6. Hopf's bifurcation.

7. Construction of bifurcation diagram.

8. Methods of dynamic simulation and construction of phase portrait.

9. Calculation and continuation of periodic solutions.

10. Branching of periodic solutions.

11. Characterization of chaotic attractors.

12. Non-autonomous systems.

13. Selected methods for analyzing distributed parameters systems.

14. Primary and secondary bifurcations.

Last update: Pátková Vlasta (16.11.2018)
Entry requirements -

Mathematics A, B; Mathematics for Chemical Engineers

Last update: Borská Lucie (16.09.2019)
Registration requirements -

none

Last update: Borská Lucie (16.09.2019)
Course completion requirements -

Solutions of projects, oral examination.

Last update: Pátková Vlasta (16.11.2018)