On control relevant criteria in H∞ identification. - Jari M. Böling; Pertti M. Mäkilä (IEEE Trans. Autom. Control., 1998)

Output-error criteria in multi-model adaptive control with experimental application to pH control. - Jari M. Böling; Tore K. Gustafsson; Kurt E. Häggblom (CCA, 2008)

Structural learning in artificial neural networks using sparse optimization. - Mikael Manngård; Jan Kronqvist; Jari M. Böling (Neurocomputing, 2018)

Swarms of Unmanned Aerial Vehicles - A Survey. - Anam Tahir; Jari M. Böling; Mohammad Hashem Haghbayan; Hannu T. Toivonen; Juha Plosila (J. Ind. Inf. Integr., 2019)

Navigation System For Landing A Swarm Of Autonomous Drones On A Movable Surface. - Anam Tahir; Jari M. Böling; Mohammad Hashem Haghbayan; Juha Plosila (ECMS, 2020)

Comparison of Linear and Nonlinear Methods for Distributed Control of a Hierarchical Formation of UAVs. - Anam Tahir; Jari M. Böling; Mohammad Hashem Haghbayan; Juha Plosila (IEEE Access, 2020)

Energy-Efficient Post-Failure Reconfiguration of Swarms of Unmanned Aerial Vehicles. - Anam Tahir; M. Hashem Haghbayan; Jari M. Böling; Juha Plosila (IEEE Access, 2023)

A Machine Learning Classifier for Detection of Performance Issues in Industrial Closed-Loop PID Controllers. - Mehmet Yagci; Krister Forsman; Jari M. Böling (CoDIT, 2024)

Optimizing Cruise Ship Speed Incorporating Weather and Hotel Load Factors. - Arash Marashian; Axel Waris; Abolhassan Razminia; Jari M. Böling; Teemu Manderbacka; Roberto Vettor; Janne Huotari; Wilhelm Gustafsson; Mathias Pirttikangas; Claus Stigler; Jerker Björkqvist; Mikael Manngård (ECC, 2024)

Model and Software In-The-Loop Testing of Engine's Speed and Load Control Functionality. - Anam Tahir; Pontus Prinsén; Jari M. Böling (ISIE, 2024)