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The aim in sensor fusion is to extract information from several sensors using model-based filtering for supervision, decision making or control purposes.

The application area mechanical manipulators covers different types of kinematic structures such as serial, closed kinematic chain type, and different wire based crane systems.

Optimization has become a vital tool for analysis, design and actual control implementations. Increasing demands are put on the computational efficiency of the algorithms, robustness and certifiability, and computational tools.

LINK-SIC is a Vinnova Competence Center for industry-academia cooperation in the general area of control systems and signal processing. The center's operational period was between 2017 and 2023.

In this context learning refers to the process of using data to create mathematical descriptions of mechanisms for control and supervision of systems or processes.

Some of the challenges with data-driven modelling are to handle dynamics, disturbances, mismatches between system and model, nonlinearities, prior knowledge, missing data, and closed-loop or network configurations.

This scientific area relates to the cross-scientific discipline of building models of mechanic, electronic, as well as thermo- and fluid-dynamic systems where control inputs and models that have compact physical descriptions are central features.

The application area has the general theme of modeling, control, and supervision of functions in vehicle powertrains. The aim is to develop control systems that can obtain optimal performance, safety, energy utilization and environmental stability.

The research about manned and unmanned aerial vehicles concerns topics such as robust sensor fusion for navigation, monitoring and control purposes and tools for efficient estimation of models from flight test data.

The research within the application area Marine vessels is focused on support and advisory systems for marine automation.