Distinguished Scholar Multimedia Tutorials
Abstract: Digital signal processing requires two discretization operations on analog signals, one in time called sampling, and one in amplitude called quantization. Ironically, although both operations are deterministic, the engineering community has historically approached the second operation only by probabilistic modeling. While this approach has been satisfactory for traditional data acquisition, it is becoming insufficient for advanced techniques of analog-to-digital conversion such as Sigma-Delta modulation, which are capable of conversions of high resolutions under analog circuit imperfections. The lack of signal theory applicable to amplitude quantization has limited engineers to empirical and heuristic modeling.
Aim: The goal of this lecture is to revisit power spectral analysis from its introduction by Wiener, and construct what has been missing to perform the spectral analysis of quantization in its original deterministic nature. The most challenging part is how white noise can be deterministically realized, in theory and in practice.
Biodata: Nguyen T. Thao received the engineering degrees from Ecole Polytechnique, France in 1984 and Ecole Nationale Superieure des Telecommunications, France in 1985, the M.Sc. degree from Princeton University in 1986 and the Ph.D. degree from Columbia University in 1993 in electrical engineering. His career combines positions in industry including Thomson-CSF, France (GaAs A/D converters, from 1986 to 1989) and HP Laboratories, Palo Alto, CA (digital image processing, from 1998 to 1999), as well as positions in academia including Hong Kong University of Science of Technology in the Department of Electrical and Electronic Engineering (from 1993 to 1997) and City College of the City University of New York in the Department of Electrical Engineering (2000 to present). His research interest is the mathematical analysis of analog-to-digital conversion.
Abstract: Event-based control is a new control method that closes the feedback loop only if an event indicates that the control error exceeds a tolerable bound and triggers a data transmission from the sensors to the controllers and the actuators. It is currently being developed as an important means for reducing the load of the digital communication networks that are used to implement feedback control. The tutorial explains the main ideas of event-based control, surveys analysis and design methods.
Biodata: Prof. Dr.-Ing. Jan Lunze is head of the Institute of Automation and Computer Control at Ruhr-University Bochum, Germany. His main research interests include networked control systems, fault-tolerant control, and hybrid dynamical systems. He has been the coordinator of the Priority Program 1305 on Control Theory of Digitally Networked Dynamic Systems between 2007 and 2014 of the German Research Foundation. He is author of numerous research papers, monographs and textbooks in control theory.