Seminars

2020

  • P.M.J. Van den Hof and K.R. Ramaswamy. Single module identification in dynamic networks – the current status. Survey presentation in Open Invited Track, “Data-driven modeling and learning in dynamic networks”, 21st IFAC World Congress, Berlin, Germany, 12-17 July 2020. slides
  • P.M.J. Van den Hof. Data-driven model learning in linear dynamic networks. Plenary lecture, 39th Benelux Meeting on Systems and Control, Elspeet, The Netherlands, 11 March 2020. slides
  • P.M.J. Van den Hof. Data-driven model learning in linear dynamic networks. Invited plenary lecture, 6th International Conference on Advances in Control & Optimization of Dynamical Systems, IIT Madras, Chennai, India, 17 February 2020. slides

2019

  • P.M.J. Van den Hof. Data-driven model learning in linear dynamic networks. Coordinated Science Lab, University of Illinois, IL, USA, 19 November 2019. slides
  • P.M.J. Van den Hof. Data-driven modeling in linear dynamic networks – Identifiability. Japan Automatic Control Conference, Sapporo, Japan, 10 November 2019. slides
  • P.M.J. Van den Hof. Data-driven modelling in linear dynamic networks. 10th Harry Nicholson Distinguished Lecture in Control Engineering, The University of Sheffield, UK, 21 May 2019. slides
  • P.M.J. Van den Hof. Data-driven modelling in linear dynamic networks. IFAC Lecture, Vienna, Austria, 4 April 2019. slides
  • P.M.J. Van den Hof. Local module identification in dynamic networks with correlated noise.  Seminar, RU Groningen, 25 February 2019. slides

2018

  • P.M.J. Van den Hof. Data-driven modelling in linear dynamic networks. Seminar, Control and Dynamical Systems, California Institute of Technology, Los Angeles, CA, USA, 7 December 2018. slides
  • P.M.J. Van den Hof. Data-driven modelling in linear dynamic networks. Seminar, Department of Mechanical and Aerospace Engineering, University of California at San Diego, CA, USA, 30 November 2018. slides
  • P.M.J. Van den Hof. Data-driven modelling in linear dynamic networks. Plenary address, 7th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys18), 28 August 2018, Groningen, The Netherlands. slides
  • P.M.J. Van den Hof. Data-driven modelling in linear dynamic networks. Plenary address, 18th IFAC Symposium on System Identification, 10 July, 2018, Stockholm, Sweden. slides

2017

  • P.M.J. Van den Hof. Identification of linear dynamic networks with rank-reduced noise. CARMA Workshop on Mathematical Systems Theory and Applications. University of Newcastle, NSW, Australia, 7 December 2017. slides
  • P.M.J. Van den Hof. Data-driven modeling in linear dynamic  networks. School of Electrical Engineering and Computing, University of Newcastle, NSW, Australia, 5 December 2017.  slides
  • P.M.J. Van den Hof. Identification in dynamic networks. FOCAPO/CPC 2017, invited paper, Tucson, AZ, 10 January 2017 and University of Houston, TX, 13 January 2017. slides

2016

  • P.M.J. Van den Hof. Identifiability of dynamic netwoks with noisy and noise-free nodes. TU Vienna, Department of Econometrics and System Theory, 21 November 2016. slides
  • P.M.J. Van den Hof, H.H.M. Weerts and A.G. Dankers. Identifiability of dynamic netwoks with noisy and noise-free nodes. ERNSI Workshop, Cison di Valmarino, Italy, 24-27 September 2016.  slides
  • P.M.J. Van den Hof. System identification in dynamic networks. University of Oxford, UK, 14 June 2016. slides