Systems Engineering – serie

Engineering Modeling and Design is a comprehensive systems engineering text that focuses on systematic principles for designing systems. Concurrent engineering, which requires that from the very start of a project all players (e.g., engineering, maintenance, marketing, customers) are involved as all facets of the system life cycle are considered, is skillfully illustrated through the use of two major case studies. The text describes how a product design proceeds parallel to the process design, explains key duties of systems engineers throughout the product life cycle, and examines the process of system design in terms of life cycle requirements. Projects and problems are presented throughout the text. A homework solutions/instructor's manual is available from the publisher upon request.Engineering Modeling and Design is an excellent text for engineering design courses in industry and upper division courses on concurrent engineering or total quality management.

System Integration presents the systems approach to complex problem solving and provides a powerful base for both product and process integration. This unique reference describes 27 kinds of integration work, primarily obtained through human communications. Simple computer applications-already in place in most companies-have the resources to encourage the availability and sharing of current team knowledge, which results in an intense, cooperative experience leading rapidly to sound design solutions.

This second edition comprehensively presents important tools of linear systems theory, including differential and difference equations, Laplace and Z transforms, and more.Linear Systems Theory discusses:Nonlinear and linear systems in the state space form and through the transfer function method Stability, including marginal stability, asymptotical stability, global asymptotical stability, uniform stability, uniform exponential stability, and BIBO stability Controllability Observability Canonical forms System realizations and minimal realizations, including state space approach and transfer function realizations System design Kalman filters Nonnegative systems Adaptive control Neural networksThe book focuses mainly on applications in electrical engineering, but it provides examples for most branches of engineering, economics, and social sciences.What's New in the Second Edition? Case studies drawn mainly from electrical and mechanical engineering applications, replacing many of the longer case studies Expanded explanations of both linear and nonlinear systems as well as new problem sets at the end of each chapter Illustrative examples in all the chapters An introduction and analysis of new stability concepts An expanded chapter on neural networks, analyzing advances that have occurred in that field since the first editionAlthough more mainstream than its predecessor, this revision maintains the rigorous mathematical approach of the first edition, providing fast, efficient development of the material.Linear Systems Theory enables its reader to develop his or her capabilities for modeling dynamic phenomena, examining their properties, and applying them to real-life situations.

System Integration presents the systems approach to complex problem solving and provides a powerful base for both product and process integration. This unique reference describes 27 kinds of integration work, primarily obtained through human communications. Simple computer applications-already in place in most companies-have the resources to encourage the availability and sharing of current team knowledge, which results in an intense, cooperative experience leading rapidly to sound design solutions.

Systems Engineering Guidebook: A Process for Developing Systems and Products is intended to provide readers with a guide to understanding and becoming familiar with the systems engineering process, its application, and its value to the successful implementation of systems development projects. The book describes the systems engineering process as a multidisciplinary effort. The process is defined in terms of specific tasks to be accomplished, with great emphasis placed on defining the problem that is being addressed prior to designing the solution.

Engineering Modeling and Design is a comprehensive systems engineering text that focuses on systematic principles for designing systems. Concurrent engineering, which requires that from the very start of a project all players (e.g., engineering, maintenance, marketing, customers) are involved as all facets of the system life cycle are considered, is skillfully illustrated through the use of two major case studies. The text describes how a product design proceeds parallel to the process design, explains key duties of systems engineers throughout the product life cycle, and examines the process of system design in terms of life cycle requirements. Projects and problems are presented throughout the text. A homework solutions/instructor's manual is available from the publisher upon request.Engineering Modeling and Design is an excellent text for engineering design courses in industry and upper division courses on concurrent engineering or total quality management.

Model-Based Systems Engineering explains the fundamental theories behind model-based systems and the considerations involved in applying theory to the design of real systems. The book begins by presenting terms used in systems engineering and introducing the discrete system and its components. The remainder of the text explains topics such as the mathematical theory of system coupling, the homomorphic relationship between systems, the concept of system mode, the mathematical structure of T3SD system requirements, and the implications of that structure for T3SD system design. Appendices include a short bibliography, detailed definitions of all examples discussed in the text, a list of all notations used, and an index.Model-Based Systems Engineering is an excellent text for engineering students, and an invaluable reference for engineers and scientists.

The most difficult questions facing organizations today do not have scientifically or mathematically provable solutions. Many answers that do exist depend upon time and circumstance.Systems Architecting of Organizations: Why Eagles Can't Swim tackles a very difficult dilemma: how do even highly respected organizations maintain their vaunted excellence, accommodate the new world of global communications, transportation, economics and multinational security, and still survive against stiff competition already in place? As they are finding out, depending upon the circumstances, the demands of excellence on the one hand, and of change on the other, can be cruelly irreconcilable.This book does not just describe business strengths and weaknesses. First, it identifies potential weaknesses, then offers guidelines and insights to address them. Its approach is architectural and heuristic. Second, this book is about maintaining success in a dynamic world, not about achieving it in a static one; few are clear on what to do and not to do in the face of major change.Systems Architecting of Organizations: Why Eagles Can't Swim helps professionals gain new perspectives when reviewing their own organizations and to see problems and opportunities previously not apparent.Features

The second edition of a bestseller, System Management: Planning, Enterprise Identity, and Deployment demonstrates how to make systems development work for any organization. Updated with new chapters, examples, and figures, it discusses the optimum marriage between specific program planning and a company's generic identity. The author focuses on the management aspects of the functional departments and programs and highlights the areas that must be improved in order to implement outstanding systems capability. The book examines the "what and why" of a process and includes a detailed example of a common process model and discusses how to document one. The author builds the case for a matrix structure in which the enterprise has several programs in the house at any one time, the complex problems these programs must solve, and the need for information from many different knowledge domains. He explores the rationale behind placing a generic process under a central management authority with contributions from all functional departments. The book then covers two sets of program planning strings based on the product entity structure and organizes management techniques for the three fundamental system developments efforts: requirements analysis, synthesis, and verification. It concludes with a discussion of assessment and improvement. Recognizing the three areas involved in the development of any new or updated system—the system under development, the enterprise itself, and the program within the enterprise responsible for the development work—this book examines how all three of these systems should be developed using the principals of system engineering. Clearly identifying the important elements of the enterprise and program information sets that have to be skillfully manipulated, it covers strategies that help organizations already using a systems approach fine tune their systems and give those not using a systems approach the tools to develop systems of their own.

This book presents in a systematic and comprehensive manner the modeling of uncertainty, vagueness, or imprecision, alias "fuzziness," in just about any field of science and engineering. It delivers a usable methodology for modeling in the absence of real-time feedback.The book includes a short introduction to fuzzy logic containing basic definitions of fuzzy set theory and fuzzy rule systems. It describes methods for the assessment of rule systems, systems with discrete response sets, for modeling time series, for exact physical systems, examines verification and redundancy issues, and investigates rule response functions.Definitions and propositions, some of which have not been published elsewhere, are provided; numerous examples as well as references to more elaborate case studies are also given. Fuzzy rule-based modeling has the potential to revolutionize fields such as hydrology because it can handle uncertainty in modeling problems too complex to be approached by a stochastic analysis. There is also excellent potential for handling large-scale systems such as regionalization or highly non-linear problems such as unsaturated groundwater pollution.

The Theory and Applications of Iteration Methods focuses on an abstract iteration scheme that consists of the recursive application of a point-to-set mapping. Each chapter presents new theoretical results and important applications in engineering, dynamic economic systems, and input-output systems. At the end of each chapter, case studies and numerical examples are presented from different fields of engineering and economics. Following an outline of general iteration schemes, the authors extend the discrete time-scale Liapunov theory to time-dependent, higher order, nonlinear difference equations. The monotone convergence to the solution is examined in and comparison theorems are proven . Results generalize well-known classical theorems, such as the contraction mapping principle, the lemma of Kantorovich, the famous Gronwall lemma, and the stability theorem of Uzawa. The book explores conditions for the convergence of special single- and two-step methods such as Newton's method, modified Newton's method, and Newton-like methods generated by point-to-point mappings in a Banach space setting. Conditions are examined for monotone convergence of Newton's methods and their variants. Students and professionals in engineering, the physical sciences, mathematics, and economics will benefit from the book's detailed examples, step-by-step explanations, and effective organization.