Mathematical Foundations For Linear Circuits And Systems In Engineering
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Mathematical Foundations for Linear Circuits and Systems in Engineering
Extensive coverage of mathematical techniques used in engineering with an emphasis on applications in linear circuits and systems Mathematical Foundations for Linear Circuits and Systems in Engineering provides an integrated approach to learning the necessary mathematics specifically used to describe and analyze linear circuits and systems. The chapters develop and examine several mathematical models consisting of one or more equations used in engineering to represent various physical systems. The techniques are discussed in-depth so that the reader has a better understanding of how and why these methods work. Specific topics covered include complex variables, linear equations and matrices, various types of signals, solutions of differential equations, convolution, filter designs, and the widely used Laplace and Fourier transforms. The book also presents a discussion of some mechanical systems that mathematically exhibit the same dynamic properties as electrical circuits. Extensive summaries of important functions and their transforms, set theory, series expansions, various identities, and the Lambert W-function are provided in the appendices. The book has the following features: Compares linear circuits and mechanical systems that are modeled by similar ordinary differential equations, in order to provide an intuitive understanding of different types of linear time-invariant systems. Introduces the theory of generalized functions, which are defined by their behavior under an integral, and describes several properties including derivatives and their Laplace and Fourier transforms. Contains numerous tables and figures that summarize useful mathematical expressions and example results for specific circuits and systems, which reinforce the material and illustrate subtle points. Provides access to a companion website that includes a solutions manual with MATLAB code for the end-of-chapter problems. Mathematical Foundations for Linear Circuits and Systems in Engineering is written for upper undergraduate and first-year graduate students in the fields of electrical and mechanical engineering. This book is also a reference for electrical, mechanical, and computer engineers as well as applied mathematicians. John J. Shynk, PhD, is Professor of Electrical and Computer Engineering at the University of California, Santa Barbara. He was a Member of Technical Staff at Bell Laboratories, and received degrees in systems engineering, electrical engineering, and statistics from Boston University and Stanford University.
Handbook of Radio and Optical Networks Convergence
This handbook provides comprehensive knowledge on device and system technologies for seamlessly integrated networks of various types of transmission media such as optical fibers and millimeter and THz waves to offer super high-speed data link service everywhere. The seamless integration of the knowledge of radio and optical technologies is needed to construct wired and wireless seamless networks. High-frequency bands such as millimeter-wave and THz-wave bands where super wideband spectra are available can offer high-speed data transmission and high-resolution sensing. However, the expected coverage is limited due to large wave propagation loss. Thus, convergence of radio and optical links is indispensable to construct worldwide networks. The radio and optical technologies share the same physics and are closely related to each other but have been developed independently. Therefore, there is a big gap between these two fields. Bridging the two fields, this handbook is also intended as a common platform to design integrated networks consisting of wireless and wired links. Full coverage of wireless and wired convergence fields ranging from basics of device and transmission media to applications allows the reader to efficiently access all the important references in this single handbook. Further, it also showcases state-of-the-art technology and cases of its use.
Fundamentals of Control Engineering
"Fundamentals of Control Engineering" explores the evolving landscape of control engineering, covering classical principles and advanced methodologies. Authored by experts, this book provides a comprehensive understanding of control systems' principles, applications, and challenges. It adopts a multifaceted approach, covering classical control theory, modern strategies, and specialized topics like quantum control, intelligent systems, and biomedical control. Each chapter balances theoretical principles with practical applications, making it suitable for students, researchers, and engineers. The inclusion of advanced topics, such as quantum control and intelligent systems, reflects emerging technologies reshaping the field. Practical examples and case studies showcase control engineering's relevance in various industries, while interdisciplinary perspectives emphasize integrating control principles with fields like AI, quantum mechanics, and healthcare. The book also addresses ethical considerations, reliability issues, and quantum coherence, providing a holistic view of the field's opportunities and hurdles. "Fundamentals of Control Engineering" is a valuable resource for understanding the multidisciplinary facets of control systems, ideal for students, researchers, and professionals.