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            Advanced Model Predictive Control 

            Zheng, Tao (2011)
            Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated ...
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            Adaptive Filtering Applications 

            Garcia, Lino (2011)
            Adaptive filtering is useful in any application where the signals or the modeled system vary over time. The configuration of the system and, in particular, the position where the adaptive processor is placed generate ...
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            Advances in Robot Navigation 

            Barrera, Alejandra (2011)
            Robot navigation includes different interrelated activities such as perception - obtaining and interpreting sensory information; exploration - the strategy that guides the robot to select the next direction to go; mapping ...
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            Air Quality 

            Popovi?, Dragana (2011)
            Air pollution has been a major transboundary problem and a matter of global concern for decades. High concentrations of different air pollutants are particularly harmful to large cities residents, where numerous anthropogenic ...
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            Establishing Better Standards of Care in Doppler Echocardiography, Computed Tomography and Nuclear Cardiology 

            Fleming, Richard M. (2011)
            Since the introduction of Doppler Echocardiography, Nuclear Cardiology and Coronary CT imaging, clinicians and researchers have been searching for ways to improve their use of these important tools in both the diagnosis ...
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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