To develop new technologies, systems and materials is necessary (in addition to management and understanding of individual isolated units and physical phenomena) to understand the properties as a result of mutual interactions. Nonlinear interactions can cause dynamic instability of the process that is in addition to the high dimensionality and nonautonomous operation common cause of high complexity, which is reflected in the irregular and chaotic behaviour in complex temporal and spatial heterogeneity. This is difficult to describe with standard physical and engineering methods, which tend to arise from assumptions of linearity. Therefore, in this area the synergetic approach is very useful which is based on the methods of probability and statistics, information theory, nonlinear dynamics and chaos, adaptive systems, and the selected methods of artificial intelligence.

The objectives of the team of Laboratory of Synergetics are contribution to the description and understanding of the physical characteristics and causes of the complexity of the technological processes, development of new manufacturing technologies and information and adaptronic systems, constructing methods for modelling, automatic real-time monitoring, diagnostics, identification, management and optimization of complex manufacturing systems and processes, loaded materials, products, machines and structures based on the processing of multi-sensor data.