Optimization and Control of Bilinear Systems Theory, Algorithms, and Applications

“Optimization and Control of Bilinear Systems: Theory, Algorithms, and Applications” by Panos M. Pardalos is a comprehensive resource published by Springer US on December 8, 2010. This softcover reprint of the hardcover first edition from 2008 spans 370 pages and is presented in English. The book aims to familiarize readers with advancements in bilinear systems theory and its practical applications, particularly focusing on the control of open physical processes operating in nonequilibrium modes.
Readers will find a structured exploration of various topics across eight chapters, including systems analysis of bilinear processes, optimal control using differential geometry methods, and adaptive estimation techniques. The text also delves into the application of Yang–Mills fields for nonlinear control problems, intelligent sensors for weak signal examination, and control issues related to quantum systems and chaotic dynamics. This edition serves as a valuable reference for students, postgraduate students, and specialists in fields such as control of physical processes, quantum and molecular computing, and biophysics.
Official synopsis Publisher
The present book is based on results of scienti?c investigations and on the materials of special courses, o?ered for graduate and undergraduate students. The purpose of this book is to acquaint the reader with the developments in bilinear systems theory and its applications. Particular attention is paid to control of open physical processes functioning in a nonequilibrium mode. The text consists of eight chapters. Chapter 1 is concerned with the problems of systems analysis of bilinear processes. Chapter 2 solves the problem of optimal control of bilinear systems on the basis of di?er- tial geometry methods. Chapter 3 deals with the progress made in an adaptive estimation technique. Chapter 4 is devoted to the application of the Yang–Mills ?elds to investigation of nonlinear control problems. Chapter 5 considers intelligent sensors, used to examine weak signals. This chapter also describes and analyzes bilinear models of intelligent sensing elements. Chapter 6 illustrates control problems of a quantum system. Chapter 7 discusses the problems of control and identi?cation in systems with chaotic dynamics. Finally, Chapter 8 examines the c- trolled processes running in biomolecular systems. This book is directed to students, postgraduate students, and speci- ists engaged in the ?elds of control of physical processes, quantum and molecular computing, biophysics, and physical information science.
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