TC 6.1 Annual Meeting at ADCHEM 2018

TC 6.1 Chair Richard Braatz conducts the meeting Hector Budman reports on the activity of the working group (Energy) The IFAC TC 6.1 deals with developing the modeling and control techniques tailored to the needs of applications in the chemical process industries, and applying these techniques to bench-, pilot-, and production-scale processes. Chemical processes arise […]

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E-CoSM goes global

  E-CoSM (or Engine and Powertrain Control, Simulation and Modeling) started in 2006 as a workshop series initiated by IFP Energies Nouvelles in Rueil-Malmaison near Paris, France. It was immediately appreciated for its relevance and focus by the engine control community and for TC 7.1 (Automotive Control) it was the perfect complement to the existing […]

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Adaptive and Learning Systems: Historic Ambitions, Current Reality, and Future Potential

In this blog article we present an overview of adaptive and learning control, from historical perspectives to open challenges and future potential solutions. The main focus here is threefold: First, we give a historical overview of adaptive and learning algorithms, we then aim at contrasting model-based approaches with data-driven approaches, and at last, we discuss open […]

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Advances in Proportional-Integral-Derivative Control – PID´18 IFAC Conference

The 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control (PID´18) was held in Ghent, Belgium, from 9th to 11th May 2018, organized by Ghent University (Belgium) in cooperation with BIRA (Belgian Association of Automation), IE-NET (Industrial Engineering Network) and Flanders Make (Industrial Development Platform). PID´18 has been sponsored by the IFAC Technical Committee on Control […]

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Fault Detection, Supervision and Safety for Energy Conversion Systems: Wind Turbines and Hydroelectric Plants

 The motivation for this article comes from a real need to have an open discussion about the challenges of fault detection and supervision for very demanding systems, such as energy conversion systems. These features represent the key characteristic to identify possible malfunctions affecting the system (i.e. the so-called faults) and, at the same time, the […]

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