Imperial College London > Talks@ee.imperial > Featured talks > Deadbeat Observers for Continuous-Time Linear Systems: Historical Perspective and Recent Advances

Deadbeat Observers for Continuous-Time Linear Systems: Historical Perspective and Recent Advances

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The Continuous-Time Deadbeat Observation Problem consists in designing, on the basis of a model of the observed process, a dynamical system (the “observer”) able to provide an estimate of the state vector from continuous input/output measurements such that the state estimation error vanishes completely after a predefined time. Starting from the seminal Kalman’s work that dates back to the 1960’s, we will review the main achievements in the area of infinite-dimensional deadbeat state estimation methods, ranging from Integral Observers to Delay-Based formulations. Then we will discuss the recent solutions that yield a finite-dimensional realization of the deadbeat observer, namely the Algebraic State Reconstructor, the Impulsive Obsever and Kernel-based Observer. Although the aforementioned observers admit a finite-dimensional realization, that represents a major technological breakthrough compared to integral and delay-based method, nonetheless they either need dynamic augmentation or suffer of internal instability, requiring periodic resetting. Finally, we will describe a new methodology able to provide deadbeat state reconstruction with minimal order and internal stability: the Modulating Function Observer.

BIO : Gilberto Pin received the Laurea (M.Sc.) degree in Electrical Engineering (with honors) and the Ph.D. in Information Engineering-Control Systems from the University of Trieste, Italy, in 2005 and 2009, respectively. From 2009 to 2012 he was an Automation Engineer at Danieli Automation S.p.A., Italy. Since 2013, he has been a Control Systems Engineer at the R&D Dept. of Electrolux Professional S.p.A., Italy. He is author of several papers published in international conferences and scientific journals concerning systems theory, signal processing methods and control applications. He is co-recipient of the IFAC Best Application Paper Prize of the Journal of Process Control, Elsevier, for the three-year period 2011-2013, with a paper describing an adaptive algorithm for the control of the flatness of metal foils processed by cold rolling mills. His current research interests include networked control systems, model predictive control, advanced system’s identification methods and deadbeat observers design. His activity is also devoted to the industrial application of advanced control techniques.

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