WSPS IX

Invitation to WSPS IX

The Section of Mathematical and Information Sciences of the Association of Hungarian PhD and DLA Students anticipates your attendance at the 9th Winter School of PhD Students in Informatics and Mathematics, which will be held between:
17-19 February, 2023 at the University of Pannonia, Zalaegerszeg.

The co-organiser of the event is the University Center of the University of Pannonia at Zalaegerszeg.

The aim of our winter school is dual:

improve the multidisciplinary scientific network of PhD students by inviting them to present their work in poster sessions, and
improve professional skills in an intensive workshop.

Each year, the workshop has a topic relevant for a wide audience. Internationally renowned scientists will give a number of in-depth lectures; these will be accompanied by seminar sessions where attendees will be able to explore topics in an interactive, hands-on way.
This year’s topic is autonomous systems.

https://www.facebook.com/events/577540164382896/

Poster section and publication

All participants are invited to present their work in the form of posters, be it relevant to the topic of the workshop or to some other area of informatics or mathematics. The printing charge of the submitted posters is included in the registration fee!

All poster abstracts will be published in the conference proceedings, which will have an ISBN number.

Some additional information

Posters and abstracts should be uploaded here after registration.
Accepted formats are:

for posters: PDF, in A0 size
for abstracts: LaTeX (accepted template can be downloaded from here)

Registration

The registration fee is: 35 000 HUF, which covers all expenses, including the meals, the printing of the submitted posters and the accommodation for 2 nights.

Should you have any special requests please contact the organizers directly.

A special price of 25 000 HUF is available for the full members of the Section of Mathematical and Information Sciences of the Association of Hungarian PhD and DLA Students (DOSz MITO).

The deadline for the registration is the ~~13th January 2023~~31st January 2023.

Poster and abstract submission deadline is the ~~23rd January 2023~~3rd February 2023.

Registration form

Registration is considered complete when the registration fee is transferred to the bank account of the Association of Hungarian PhD and DLA Students.
A fee requester shall be sent to every participant via email with the correct payment data.

Please note that places are limited and will be allocated in order of registration.

Planned Program

Feel free to use this calendar event which contains the whole program.

Day 1 – 17th February, Friday:

13:30 – 14:30: Registration
14:30 – : Departure for track visiting
15:00 – 16:30: Track Visiting
17:00 – 17:30: Opening ceremony
17:30 – 19:00: Research challenges of autonomous ground and air vehicles (Bálint Vanek PhD, SZTAKI)
19:20 – 20:30: Dinner

Day 2 – 18th February, Saturday:

08:00 – 10:00: Breakfast
10:00 – 11:30: Structured control design for a highly flexible flutter demonstrator I. (Tamás Luspay PhD, Béla Takarics PhD, SZTAKI)
11:30 – 11:50: Coffee break
11:50 – 13:20: Structured control design for a highly flexible flutter demonstrator II. (Tamás Luspay PhD, Béla Takarics PhD, SZTAKI)
13:40 – 14:50: Lunch
15:10 – 16:40: Cultural Program
16:50 – 17:00: Group photo
17:00 – 18:30: Poster section
19:00 – 21:00: Gala Dinner

Day 3 – 19th February, Sunday:

08:00 – 10:00: Breakfast
10:00 – 11:30: Parameter identification of nonlinear dynamic models for autonomous vehicles I. (Máté Fazekas, SZTAKI)
11:30 – 11:50 : Coffee break
11:50 – 13:20: Parameter identification of nonlinear dynamic models for autonomous vehicles II. (Máté Fazekas, SZTAKI)
13:40 – 14:50: Lunch

The programme committee reserves the right to modify the schedule.

Lecturers

Bálint Vanek PhD (SZTAKI)

Máté Fazekas (SZTAKI)

Tamás Luspay PhD (SZTAKI)

Béla Takarics PhD (SZTAKI)

Lecture details

Research challenges of autonomous ground and air vehicles
Bálint Vanek PhD, SZTAKI

Autonomous vehicles, both on land, water or in air have very common building blocks and associated challenges. The main challenges and associated state-of-art solutions for sensing, planning and execution will be highlighted within the presentation. The on-board sensory, computing and actuation solutions as well as supporting ground infrastructure will be detailed. Safety aspects are key in autonomous vehicles, hence various certification related issues including simulation based testing will be shown. Autonomous vehicles also needs public acceptance what is often fueling discussions about the interaction of technical and ethical considerations. Based on the different approaches manufacturers tackle the autonomy problem an interactive discussion will be initiated to see the opinion of the audience.

Parameter identification of nonlinear dynamic models for autonomous vehicles
Máté Fazekas, SZTAKI

The state estimation has a critical responsibility in the control program of an autonomous system, thus the integrated models have to be as accurate as possible. However, the parameter identification of nonlinear dynamic systems using noisy input-output measurements remains a challenge from several aspects. Due to the nonlinear system, the formed optimization problem is a non-convex one that requires linearization, parameter initialization, and recursive estimation. In this case, the initial states of the dynamic model have to be initialized with the noisy measurements as well, but these are affected by the nonlinearity, thus its impact on the measured output is no longer familiar with the Gaussian framework. In the lecture, these impacts are examined in detail in MATLAB using real measurements from an autonomous vehicle, and possible compensation algorithms are presented.

Structured control design for a highly flexible flutter demonstrator
Tamás Luspay PhD, Béla Takarics PhD, SZTAKI

The model-based flight control system design for a highly flexible flutter demonstrator, developed in the European FLEXOP project, is presented. The flight control system includes a baseline controller to operate the aircraft fully autonomously and a flutter suppression controller to stabilize the unstable aeroelastic modes and extend the aircraft’s operational range. The baseline control system features a classical cascade flight control structure with scheduled control loops to augment the lateral and longitudinal axis of the aircraft. The flutter suppression controller uses an advanced blending technique to blend the flutter relevant sensor and actuator signals. These blends decouple the unstable modes and individually control them by scheduled single loop controllers. For the tuning of the free parameters in the defined controller structures, a model-based approach solving multi-objective, non-linear optimization problems is used. The developed control system, including baseline and flutter control algorithms, is verified in an extensive simulation campaign using a high fidelity simulator. The simulator is embedded in MATLAB and a features non-linear model of the aircraft dynamics itself and detailed sensor and actuator descriptions.