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Thorough coverage of basic digital communication system principles ensures that readers are exposed to all basic relevant topics in digital communication system design. The use of CD player and JPEG image coding standard as examples of systems that employ modern communication principles allows readers to relate the theory to practical systems. Over 180 worked-out examples throughout the book aids readers in understanding basic concepts. Over 480 problems involving applications to practical systems such as satellite communications systems, ionospheric channels, and mobile radio channels gives readers ample opportunity to practice the concepts they have just learned. With an emphasis on digital communications, Communication Systems Engineering, Second Edition introduces the basic principles underlying the analysis and design of communication systems. In addition, this book gives a solid introduction to analog communications and a review of important mathematical foundation topics. New material has been added on wireless communication systems—GSM and CDMA/IS-94; turbo codes and iterative decoding; multicarrier (OFDM) systems; multiple antenna systems. Includes thorough coverage of basic digital communication system principles—including source coding, channel coding, baseband and carrier modulation, channel distortion, channel equalization, synchronization, and wireless communications. Includes basic coverage of analog modulation such as amplitude modulation, phase modulation, and frequency modulation as well as demodulation methods. For use as a reference for electrical engineers for all basic relevant topics in digital communication system design.

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Knowledge-Based Systems for Engineers and Scientists describes the principles of knowledge-based systems and related techniques and their use in solving practical problems. The book explains a variety of techniques including the use of artificial intelligence toolkits and languages, rule-based systems, uncertainty, blackboard systems, object-oriented systems, and machine learning. The techniques are illustrated through their applications to practical problems in interpretation and diagnosis, design and selection, planning, and control. Knowledge-Based Systems for Engineers and Scientists is designed for practicing engineers and scientists wanting to learn about this exciting area of computing. It is also an excellent text for final-year undergraduate as well as graduate engineering and computer students wishing to strengthen their specialized computing skills.

A Practical Approach to Dynamical Systems for Engineers takes the abstract mathematical concepts behind dynamical systems and applies them to real-world systems, such as a car traveling down the road, the ripples caused by throwing a pebble into a pond, and a clock pendulum swinging back and forth. Many relevant topics are covered, including modeling systems using differential equations, transfer functions, state-space representation, Hamiltonian systems, stability and equilibrium, and nonlinear system characteristics with examples including chaos, bifurcation, and limit cycles. In addition, MATLAB is used extensively to show how the analysis methods are applied to the examples. It is assumed readers will have an understanding of calculus, differential equations, linear algebra, and an interest in mechanical and electrical dynamical systems.Presents applications in engineering to show the adoption of dynamical system analytical methodsProvides examples on the dynamics of automobiles, aircraft, and human balance, among others, with an emphasis on physical engineering systemsMATLAB and Simulink are used throughout to apply the analysis methods and illustrate the ideasOffers in-depth discussions of every abstract concept, described in an intuitive manner, and illustrated using practical examples, bridging the gap between theory and practiceIdeal resource for practicing engineers who need to understand background theory and how to apply it

A Practical Approach to Dynamical Systems for Engineers takes the abstract mathematical concepts behind dynamical systems and applies them to real-world systems, such as a car traveling down the road, the ripples caused by throwing a pebble into a pond, and a clock pendulum swinging back and forth. Many relevant topics are covered, including modeling systems using differential equations, transfer functions, state-space representation, Hamiltonian systems, stability and equilibrium, and nonlinear system characteristics with examples including chaos, bifurcation, and limit cycles. In addition, MATLAB is used extensively to show how the analysis methods are applied to the examples. It is assumed readers will have an understanding of calculus, differential equations, linear algebra, and an interest in mechanical and electrical dynamical systems.Presents applications in engineering to show the adoption of dynamical system analytical methodsProvides examples on the dynamics of automobiles, aircraft, and human balance, among others, with an emphasis on physical engineering systemsMATLAB and Simulink are used throughout to apply the analysis methods and illustrate the ideasOffers in-depth discussions of every abstract concept, described in an intuitive manner, and illustrated using practical examples, bridging the gap between theory and practiceIdeal resource for practicing engineers who need to understand background theory and how to apply it

Dynamical systems are evident in many aspects of daily life and occur either as controlled systems like a piloted aircraft or uncontrolled systems such as the solar system). Many dynamical systems can be described mathematically and the resulting mathematical models are usually nonlinear. These models can often be linearized and yet still reflect the essential features of the real systems. During the last 30 years, the mathematical theory for linear and nonlinear, controlled and uncontrolled, and continuous and discrete mathematical models has been formulated using highly sophisticated mathematics. The background mathematical knowledge required to understand this modern formulation is not normally acquired by graduates in subjects other than mathematics. Nearly all the relevant books have been written by mathematicians, for mathematicians, and nonmathematicians often have considerable difficulty in approaching the subject. This book presents, in a convenient single volume ideal for nonmathematicians, much of the mathematical background necessary for the study of modern developments in linear and nonlinear system theory. Six chapters cover algebraic topics that have been instrumental in the establishment of linear system theory, including groups, rings, modules, and vector spaces. The last five chapters deal with those parts of analysis which lead to a geometric approach to nonlinear system theory that has been particularly successful in yielding important results since about 1970. With many examples, notes and exercises with solutions, this work can be used as either a textbook or reference.

This text is designed to provide a step-by-step development methodology for systems engineering. The text will allow those not familiar with the domain to work through examples and concepts, enabling them to become adept at the tools and methodologies of the systems engineering domain. This text is the only known publication that provides a how-to approach to the challenging topic of systems engineering.

This text is designed to provide a step-by-step development methodology for systems engineering. The text will allow those not familiar with the domain to work through examples and concepts, enabling them to become adept at the tools and methodologies of the systems engineering domain. This text is the only known publication that provides a how-to approach to the challenging topic of systems engineering.

The principles of circuit analysis are fundamental to the practice of electrical and electronic engineering. This book is aimed at new students of those disciplines. It is less expansive than some other texts, but it has more depth. Chapters focus on circuit analysis techniques, four-terminal networks, and other topics not typically found in texts of this nature, such as Fourier transforms and ladder networks. The space given to explanation, assuming little knowledge in mathematics or electricity, and applications are featured and discussed where necessary.

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The principles of circuit analysis are fundamental to the practice of electrical and electronic engineering. This book is aimed at new students of those disciplines. It is less expansive than some other texts, but it has more depth. Chapters focus on circuit analysis techniques, four-terminal networks, and other topics not typically found in texts of this nature, such as Fourier transforms and ladder networks. The space given to explanation, assuming little knowledge in mathematics or electricity, and applications are featured and discussed where necessary.

Structural Concepts and Systems for Architects and Engineers.

Structural Concepts and Systems for Architects and Engineers.

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A systems analysis text which introduces fundamental methods of optimization, including graphical and numerical methods, and the principles of engineering economics to the planning, analysis, design, and management of civil engineering systems. Designed for undergraduates majoring in civil engineering. Includes practical problems.

Draws on both control theory and case histories to show engineers how to troubleshoot, fine tune, and enhance the operation of power and process plants. Among the topics are process instrumentation, distributed control systems, power frequency control, and software. Annotation copyright Book News, Inc. Portland, Or.

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This book provides an introduction to the mathematics needed to model, analyze, and design feedback systems. It is an ideal textbook for undergraduate and graduate students, and is indispensable for researchers seeking a self-contained reference on control theory. Unlike most books on the subject, Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. They provide exercises at the end of every chapter, and an accompanying electronic solutions manual is available. Feedback Systems is a complete one-volume resource for students and researchers in mathematics, engineering, and the sciences. Covers the mathematics needed to model, analyze, and design feedback systems Serves as an introductory textbook for students and a self-contained resource for researchers Includes exercises at the end of every chapter Features an electronic solutions manual Offers techniques applicable across a range of disciplines

This book provides an introduction to the mathematics needed to model, analyze, and design feedback systems. It is an ideal textbook for undergraduate and graduate students, and is indispensable for researchers seeking a self-contained reference on control theory. Unlike most books on the subject, Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. They provide exercises at the end of every chapter, and an accompanying electronic solutions manual is available. Feedback Systems is a complete one-volume resource for students and researchers in mathematics, engineering, and the sciences. Covers the mathematics needed to model, analyze, and design feedback systems Serves as an introductory textbook for students and a self-contained resource for researchers Includes exercises at the end of every chapter Features an electronic solutions manual Offers techniques applicable across a range of disciplines