Browsing USN Open Archive by Author "Perera, M. Anushka S."
Now showing items 1-4 of 4
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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 ... -
Using CasADi for Optimization and Symbolic Linearization/Extraction of Causality Graphs of Modelica Models via JModelica.Org
Perera, M. Anushka S. (Research report, 2014-03-24)The Modelica language has become a handy modeling tool for multi-domain complex physical systems. Its object-oriented and equation-based approach eases the modeling process to a great extent. Dynamic models which are ...