Robust hybrid control systems

The last five years are marked by an increased interest in development of new control methods for heterogeneous hybrid process that include continuous and discrete dynamics. Research in control methods for hybrid nonlinear dynamic systems represent a new evolution trend in development and application of control algorithms that help considerably improve performance of complex technological processes within a wide spectrum of applications (power industry, car industry, health care, biotechnologies, transportation, service industry). Those advanced methods apply principles and methods of prediction, robustness, optimality and embeddedness. The main objective of the proposed project is research and development, algorithmization and implementation of robust predictive control methods for nonlinear hybrid processes using modern information, communication and control technologies and systems realized by embedded computer systems.

Project type / Agency: 

VEGA

Project code: 

1/1105/11

Project duration: 

1. January, 2011 to 31. December, 2013

Solver: