On Friday, May 26th, Slavomír Blažek defended his PhD thesis "Optimal Path Planning for Heterogenous Multi-Vehicle Systems" supervised by Professor Ing. Miroslav Fikar, DrSc. and supervisor-specialist Associated Professor Ing. Michal Kvasnica, PhD.
In 2017, on Wednesday 22nd March we were on the exhibition of Future Technologies AMPER 2017 in Brno.
After exhibition, we also visited the beer manufacturer Starobrno.
The UniSim Design Challenge is a unique chance for students of the sciences to learn more about process simulation modelling as well as gain valuable industry exposure.
Can you create a process design to solve a critical plant business issue?
If so, you could win an all-expense-paid trip to Honeywell Users Group America to present your project. In order to win, students must demonstrate creativity, innovation, and detail the benefits derived from their solution.
Regular seminar focused on automatic control
On 16.01.2017 - 20.01.2017, Institute of IAM participated in Basic training WinCC OA of Siemens company in Eisenstadt.
Publisher Elsevier provides open access to new research articles for 50 days to help share the current results:
Klaučo, M. – Kalúz, M. – Kvasnica, M.: Real-time implementation of an explicit MPC-based reference governor for control of a magnetic levitation system. Control Engineering Practice, no. 60, pp. 99–105, 2017.
The Mechatronics group at the Mitsubishi Electric Research Labs (www.merl.com), located in Cambridge (MA) has an open Research Scientist position (staff) in Vehicle Systems Estimation and Control for researchers that can cover one or more of the following areas: vehicle dynamics estimation and control, sampling-based methods for path planning, Bayesian inference and particle methods, estimation algorithms.
The Mechatronics group at the Mitsubishi Electric Research Labs (www.merl.com), located in Cambridge (MA) has a number of Intern Positions for 2017 (not restricted to Summer) in the area of dynamical systems and controls, ranging from theoretical work in control and optimization algorithms, to applications in autonomous vehicles, space systems, HVAC, and mechatronics.
TEMPO: Training in Embedded Control and Optimization, MC ITN Project 607957.Lecturers
The aim of this intensive five-days summer schools is to give hands-on experience in implementation of model predictive controllers (MPC) on embedded hardware like field-programmable gateway arrays (FPGAs), programmable logic controllers (PLCs), and Arduino microcontrollers. The course is recommended for both industrial and academic researchers as well as for master and PhD students of engineering, computer science, mathematics, and physics.