Control of Wave and Beam PDEs: The Riesz Basis Approach (Communications and Control Engineering) - Tapa dura

Acerca del autor

​Bao-Zhu Guo received his Ph.D. in applied mathematics from the Chinese University of Hong Kong in 1991.From 1985 to 1987, he was a research assistant at Beijing Institute of Information and Control, China. During the period 1993–2000, he was with the Beijing Institute of Technology, first as an associate professor (1993–1998) and subsequently a professor (1998–2000). Since 2000, he has been with the Academy of Mathematics and Systems Science, the Chinese Academy of Sciences, where he is a research professor in mathematical system theory. He is the author or co-author of over 190 peer/refereed papers in international journals. His research interests include active disturbance rejection theory of control and application of infinite-dimensional systems. Dr. Guo received the One Hundred Talent Program from the Chinese Academy of Sciences (1999), and the National Science Fund for distinguished Young Scholars (2003). In 2013, he was elected a member of the Academy of Science of South Africa (ASSAf).
Jun-Min Wang received his Ph.D in applied mathematics from the University of Hong Kong in 2004 and is now a full professor in School of Mathematics and Statistics at the Beijing Institute of Technology. His main research interest is the Riesz basis approach to control of systems described by partial differential equations. He has published nearly 60 peer/reviewed journal papers in the field. 

De la contraportada

Control of Wave and Beam PDEs is a concise, self-contained introduction to Riesz bases in Hilbert space and their applications to control systems described by partial differential equations (PDEs). The authors discuss classes of systems that satisfy the spectral determined growth condition, the problem of stability, and the relationship between fulfillment of the condition and stability.

Using the (fundamental) Riesz-basis property, the book shows how controllability, observability, stability, etc., can be derived for a linear system. The text provides a crash course in the mathematical theory of Riesz bases so that a reader can quickly understand this powerful method of dealing with linear PDEs. It introduces several important methods for achieving the Riesz basis property through spectral analysis, as well as new approaches including treatment of systems coupled through boundary weak connections.

The book moves from a discussion of mathematical preliminaries through bases in Hilbert Spaces to applications to Euler Bernoulli and Rayleigh beam equations and hybrid systems. The final chapter expands the use of the book s methods to applications in other systems.

Many typical examples, representing physical systems, are discussed in the text. The book is suitable not only for applied mathematicians seeking a powerful tool to understand control systems, but also for control engineers interested in the mathematics of PDE systems.