• Extremum-seeking control: convergence improvements and asymptotic stability 

      Haring, Mark A. M. (Doctoral thesis at NTNU;2016:167, Doctoral thesis, 2016)
      Extremum-seeking control is an adaptive-control methodology that optimizes the steady-state performance of dynamical plants by automated tuning of plant parameters based on measurements. The main advantage of extremum-seeking ...
    • Learning-based Robust Model Predictive Control for Sector-bounded Lur'e Systems 

      Seel, Katrine; Haring, Mark A. M.; Grøtli, Esten Ingar; Pettersen, Kristin Ytterstad; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2021)
      For dynamical systems with uncertainty, robust controllers can be designed by assuming that the uncertainty is bounded. The less we know about the uncertainty in the system, the more conservative the bound must be, which ...
    • A Levenberg-Marquardt Algorithm for Sparse Identification of Dynamical Systems 

      Haring, Mark A. M.; Grøtli, Esten Ingar; Riemer-Sørensen, Signe; Seel, Katrine; Hanssen, Kristian Gaustad (Peer reviewed; Journal article, 2022)
      Low complexity of a system model is essential for its use in real-time applications. However, sparse identification methods commonly have stringent requirements that exclude them from being applied in an industrial setting. ...
    • Nondisturbing extremum seeking control for multi-agent industrial systems 

      Haring, Mark A. M.; Fossøy, Synne; Silva, Thiago Lima; Pavlov, Alexey (Peer reviewed; Journal article, 2022)
      Industrial applications of extremum seeking control (ESC) can be a hit and miss affair. Although a gain in performance can be achieved, the dither applied to excite the system causes unwanted fluctuations in the performance ...