Topics

Contact person at Goleta, CA Palm Reader: Past - Present - Future.

In state estimation, the available information is used to obtain as good estimates as possible. Estimating the past is known as smoothing, estimating the present is known as filtering, and estimating the future is known as prediction.

The research areas have been centered around how to present modern nonlinear Kalman Filters in a coherent way, how to apply state estimation in MPC, and the attainable performance in optimal state estimation.

Research Personnel

Currently: Professor Bernt Lie, Associate professor David Di Ruscio.

PhD Theses

Several PhD theses have applied state estimation.

• Hauge, Tor Anders (2003). Roll-out of Model Based Control with Application to Paper Machines. Dr.ing. thesis 2003:31, NTNU-HiT, Trondheim. ISBN 82-471-5581-8, ISSN 0809-103X. Disputation at Telemark University College, May 8 2003. Main supervisor: Bernt Lie.
• Dueñas Díez, Marta (2004). Population balance modeling and passivity-based control of particulate processes, applied to the Silgrain^® process. Doctoral Theses at NTNU-HiT 2004:35, Trondheim. ISBN 82-471-6276-8 (printed ver.), ISBN 82-471-6274-1 (electronic ver.), ISSN 1503-8181. Disputation at Telemark University College, May 28 2004. Main supervisor: Bernt Lie.
• Chai, Qian (2008). Modeling, Estimation, and Control of Biological Wastewater Treatment Plants. Doctoral Theses at NTNU 2008:108 at HiT, Porsgrunn. ISBN 978-82-471-8155-3 (printed ver.), ISBN 978-82-471-8169-0 (electronic ver.), ISSN 1503-8181. Disputation at Telemark University College, May 20 2008. Main supervisor: Bernt Lie.
• Furenes, Beathe (2009). Model Based Control of Solidification. Doctoral Theses at NTNU 2009:228 at HiT, Porsgrunn. ISBN 978-82-471-1860-3 (printed ver.), ISBN 978-82-471-1861-0 (electronic ver.), ISSN 1503-8181. Disputation at Telemark University College, December 9 2009. Main supervisor: Bernt Lie.

Selected publications

• Videla, J.I., and Lie, B. (2008). "Using Modelica/Matlab for parameter estimation in a bioethanol fermentation model". Proceedings, 6th International Modelica Conference, March 3--4, 2008, Bielefeld, Germany.
• Videla, J.I., and Lie, B. (2007). "State/Parameter Estimation of a Small-scale CHP model". In P. Fritzson (ed.) Proceedings, 48th International Conference of the Scandinavian Simulation Society (SIMS), Göteborg, Sweden, October 30-31 2007. Published by Lund University.
• Chai, Q., Furenes, B., and Lie, B. (2007). "Comparison of state estimation techniques, applied to a biological wastewater treatment process". Proceedings of 10th International IFAC Symposium on Computer Applications in Biotechnology, June 4--6, 2007, Cancun, Mexico, pp. 353--358.
• Amrani, S.H., Haavik, A.I., Lie, B., and Karjala, T.W. (1998). Modeling and estimation for a terpolymerization reactor. American Control Conference, Philadelphia, 1998.
• Lie, B. (1995). "Attainable Performance in LQG control." In R. Berber (1995), editor: Methods of Model Based Process Control, Kluwer Academic Publishers.
• Di Ruscio, D., Balchen J. G. and A. Holmberg (1994). "Experiences with a nonlinear model based control strategy applied to a two stage TMP refiner line." Control Systems 94, Stockholm, May 31 - June 2, 1994.