荷兰爱因霍芬科技大学电气工程学博士后职位
2014年08月26日
来源:知识人网整理
摘要:
Assistant/Associate Professor in Identification and control in structured networkswith applications in smart energy systems in the Control Systems (CS) group of the Department of Electrical Engineering.Current day developments in modelling, control and optimization of dynamical systems require the handling of structured and (spatially) distributed systems. Modular built-up of systems, as well as structured connections of subsystems, ask for modelling and control tools that effectively utilize the distributed / structured character in the related modelling , control and optimization problems.A particular example of a technology domain where these phenomena play an important role is in energy systems. With the current developments in distributed power generation as well as the increase of renewable energy resources (wind, solar), there is an increasing demand on the proper handling of dynamical phenomena in power distribution networks. The introduction of smart energy systems in electricity grids (smart grids), sustainable cities and building automation requires advanced analysis and synthesis tools for design and optimal operation of structured dynamic networks. However also in other domains as industrial process control and process intensification as well as in high-tech systems the handling of structured and distributed systems is an important challenge for the systems and control domain.To further strengthen the dynamics and control activities in this domain in the electrical engineering department a position is created for an assistant/associate professor with an electrical engineering profile, that has a background in systems and control and a strong interest in energy systems technology.The particular lines of research that we foresee to play a role in the research profile of the candidate include(a) Distributed control and optimization in particular related to smart energy systems(b) Identification and control in/of dynamic networks;(c) Optimal design of distributed systems(d) Model reduction for structured systemsControl systems groupThe Control Systems (CS) group has a long tradition in modeling, system identification and control of dynamical systems. With an international staff and close cooperation with industrial research partners, the group covers four technology domains: industrial production processes, high-tech systems, power networks and automotive systems. The basis of systems and control research and competence in the group is in system identification, model approximation, (nonlinear) model predictive control, spat