Embedded control system for smart walking assistance device has been recognised as an outstanding scientific achievement and the work has been presents at the Excellent in Science 2017, an event that is organized by the Slovenian research Agency (ARRS). For the presented unique control system a European patent application was also filed.
E.01 National awards
COBISS.SI-ID: 11943508The conference took place from 31. May 2017 do 2. June 2017 in Ljubljana.
B.01 Organiser of a scientific meeting
COBISS.SI-ID: 11756884Prof. Škrjanc received the research award of the Chair of Excellence Universidad Carlos III de Madrid, Spain, for the development of a self-evolving method of building soft models in a non-stationary environment where exceptional data emerge. The prize is one of the most prestigious in Spain and was awarded for research work in 2017. He and his colleagues developed a method for monitoring and recognizing drivers' actions on the car's base of available signals, without the use of additional sensors.
E.02 International awards
COBISS.SI-ID: 11837524The members of research group did the contribution, which received the first prize at the Autonomous Learning Competition Competition for 2017, organized by IEEE SMC Society (Systems, Man, and Cybernetics). The competition won a contribution to the Autonomous Robust Evolving Cloud-based Controller (RECCo), http://www.caos.inf.uc3m.es/ieeealscompetition. The competition was conducted as part of the IEEE EAIS 2017 Conference (Conference on Evolving and Adaptive Intelligent Systems).
E.02 International awards
COBISS.SI-ID: 11757652Sašo Blažič had a plenary talk entitled Simple adaptive and predictive control of nonlinear and multivariable plants within the International Conference on Advanced Engineering in Petrochemical Industry (ICAEPI’17) held in Skikda (Algeria) from November 28 to November 30, 2017. The focus of the plenary lecture was on the simple control methods for nonlinear plants that occur quite often in process industries. These include the extension of either model reference adaptive control or predictive functional control to the nonlinear case. During control design it is very important to ensure an adequate level of control system robustness to modelling errors, and the stability and robustness issues are treated formally.
B.04 Guest lecture
COBISS.SI-ID: 11932756