• Parameter and State Estimation of Large-Scale Complex Systems Using Python Tools 

      Perera, M. Anushka S.; Hauge, Tor Anders; Pfeiffer, Carlos Fernando (Journal article; Peer reviewed, 2015)
      This paper discusses the topics related to automating parameter, disturbance and state estimation analysis of large-scale complex nonlinear dynamic systems using free programming tools. For large-scale complex systems, ...
    • Structural observability analysis and EKF based parameter estimation of building heating models 

      Perera, Degurunnehalage Wathsala U.; Perera, M. Anushka S.; Pfeiffer, Carlos Fernando; Skeie, Nils-Olav (Journal article; Peer reviewed, 2016)
      Research for enhanced energy-efficient buildings has been given much recognition in the recent years owing to their high energy consumptions. Increasing energy needs can be precisely controlled by practicing advanced ...
    • Structural observability analysis of large scale systems using Modelica and Python 

      Perera, M. Anushka S.; Lie, Bernt; Pfeiffer, Carlos Fernando (Journal article; Peer reviewed, 2015)
      State observability of dynamic systems is a notion which determines how well the states can be inferred from input-output data. For small-scale systems, observability analysis can be done manually, while for large-scale ...