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  1. Max Plus Methods For Nonlinear Control And Estimation 2005.
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    Estimation theory

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    Max-Plus Methods for Nonlinear Control and Estimation

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    Uncertainty Quantification of Nonlinear Systems

    The coming years will see a continuously growing increase of the size, scale, and complexity of computer-controlled and technological systems. Many of the corresponding challenges in the field of hybrid, nonlinear, and large-scale systems and control still have to be solved. It is of utmost importance to design controllers that meet the challenging requirements for these systems in terms of computational efficiency, adaptability, autonomy, efficiency, functionality, reliability, and safety: operation and performance over extended periods of time, even in the presence of uncertainty, noise, disturbances, and model errors must be guaranteed.

    Finally, the evolutions in the field of mixed-integer optimization, increasing computer power, and increasing and pervasive presence of embedded monitoring, communication, and control units, open new opportunities for analysis and control of hybrid, nonlinear, and large-scale systems. The core research methodology of the team can be characterized as optimization-based, estimation-based, and model-based systems and control methods, complemented with computer science and operation research approaches, with the following fundamental research areas:. For the coming years the team has decided to focus on the following fundamental research goals:. On the applications side we see new opportunities in integrated transportation and infrastructure networks such as multi-carrier energy systems, multi-modal transportation networks, or integrated transportation and energy networks with fuel cell cars.

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