Thomas Parisini
University of Trieste, University of Genoa, Imperial College London
Papers
5
Total Citations
475
H-Index
4
About
Thomas Parisini is a leading figure in fault diagnosis, nonlinear control, and intelligent automation. His pioneering work on fault diagnosis for nonlinear uncertain systems, particularly his 2010 paper on adaptive estimation for Lipschitz nonlinearities (347 citations), has become a cornerstone for ensuring safety and reliability in complex engineering systems. He also developed robust fault isolation schemes for nonlinear systems with modeling uncertainty and partial state measurement, advancing the field's ability to detect and isolate faults in real-world applications. Beyond diagnostics, Parisini has made notable contributions to tactile sensing, with his 1993 work on skin-like tactile sensor arrays for contact stress field extraction (34 citations), and to industrial control, including adaptive control for metal strip flatness in cold rolling mills (27 citations). His research in neurocontrol has explored neural network-based controllers with guaranteed closed-loop stability, addressing the growing demands of modern industrial and military systems. With a career spanning adaptive estimation, nonlinear control theory, and intelligent systems, Parisini’s work continues to influence both theoretical advances and practical implementations in automation and fault-tolerant control.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust fault isolation for a class of non-linear input?output systems63 citations · 2001
- 3Skin-like tactile sensor arrays for contact stress field extraction34 citations · 1993
- 4
- 5New developments in neurocontrol4 citations · 2002