Unlike most engineers, system engineers focus on the knowledge base needed to develop good systems in a cross-functional fashion rather than deeply on isolated topics. They are often said to be a mile wide and an inch deep in what they do know. System Synthesis: Product and Process Design provides insight into complex problems, focusing on the boun

This book introduces the so-called "stable factorization approach" to the synthesis of feedback controllers for linear control systems. The key to this approach is to view the multi-input, multi-output (MIMO) plant for which one wishes to design a controller as a matrix over the fraction field F associated with a commutative ring with identity, denoted by R, which also has no divisors of zero. In this setting, the set of single-input, single-output (SISO) stable control systems is precisely the ring R, while the set of stable MIMO control systems is the set of matrices whose elements all belong to R. The set of unstable, meaning not necessarily stable, control systems is then taken to be the field of fractions F associated with R in the SISO case, and the set of matrices with elements in F in the MIMO case. The central notion introduced in the book is that, in most situations of practical interest, every matrix P whose elements belong to F can be "factored" as a "ratio" of two matrices N,D whose elements belong to R, in such a way that N,D are coprime. In the familiar case where the ring R corresponds to the set of bounded-input, bounded-output (BIBO)-stable rational transfer functions, coprimeness is equivalent to two functions not having any common zeros in the closed right half-plane including infinity. However, the notion of coprimeness extends readily to discrete-time systems, distributed-parameter systems in both the continuous- as well as discrete-time domains, and to multi-dimensional systems. Thus the stable factorization approach enables one to capture all these situations within a common framework. The key result in the stable factorization approach is the parametrization of all controllers that stabilize a given plant. It is shown that the set of all stabilizing controllers can be parametrized by a single parameter R, whose elements all belong to R. Moreover, every transfer matrix in the closed-loop system is an affine function of the design parameter R. Thus problems of reliable stabilization, disturbance rejection, robust stabilization etc. can all be formulated in terms of choosing an appropriate R. This is a reprint of the book Control System Synthesis: A Factorization Approach originally published by M.I.T. Press in 1985.

Systems Analysis and Synthesis: Bridging Computer Science and Information Technology presents several new graph-theoretical methods that relate system design to core computer science concepts, and enable correct systems to be synthesized from specifications. Based on material refined in the author's university courses, the book has immediate applicability for working system engineers or recent graduates who understand computer technology, but have the unfamiliar task of applying their knowledge to a real business problem. Starting with a comparison of synthesis and analysis, the book explains the fundamental building blocks of systems-atoms and events-and takes a graph-theoretical approach to database design to encourage a well-designed schema. The author explains how database systems work-useful both when working with a commercial database management system and when hand-crafting data structures-and how events control the way data flows through a system. Later chapters deal with system dynamics and modelling, rule-based systems, user psychology, and project management, to round out readers' ability to understand and solve business problems. - Bridges computer science theory with practical business problems to lead readers from requirements to a working system without error or backtracking - Explains use-definition analysis to derive process graphs and avoid large-scale designs that don't quite work - Demonstrates functional dependency graphs to allow databases to be designed without painful iteration - Includes chapters on system dynamics and modeling, rule-based systems, user psychology, and project management

Over the past decade there has been a dramatic change in the role played by design automation for electronic systems. Ten years ago, integrated circuit (IC) designers were content to use the computer for circuit, logic, and limited amounts of high-level simulation, as well as for capturing the digitized mask layouts used for IC manufacture. The tools were only aids to design-the designer could always find a way to implement the chip or board manually if the tools failed or if they did not give acceptable results. Today, however, design technology plays an indispensable role in the design ofelectronic systems and is critical to achieving time-to-market, cost, and performance targets. In less than ten years, designers have come to rely on automatic or semi automatic CAD systems for the physical design ofcomplex ICs containing over a million transistors. In the past three years, practical logic synthesis systems that take into account both cost and performance have become a commercial reality and many designers have already relinquished control ofthe logic netlist level of design to automatic computer aids. To date, only in certain well-defined areas, especially digital signal process ing and telecommunications. have higher-level design methods and tools found significant success. However, the forces of time-to-market and growing system complexity will demand the broad-based adoption of high-level, automated methods and tools over the next few years.

After long years of work that have seen little industrial application, high-level synthesis is finally on the verge of becoming a practical tool. The state of high-level synthesis today is similar to the state of logic synthesis ten years ago. At present, logic-synthesis tools are widely used in digital system design. In the future, high-level synthesis will play a key role in mastering design complexity and in truly exploiting the potential of ASIes and PLDs, which demand extremely short design cycles. Work on high-level synthesis began over twenty years ago. Since substantial progress has been made in understanding the basic then, problems involved, although no single universally-accepted theoretical framework has yet emerged. There is a growing number of publications devoted to high-level synthesis, specialized workshops are held regularly, and tutorials on the topic are commonly held at major conferences. This book gives an extensive survey of the research and development in high-level synthesis. In Part I, a short tutorial explains the basic concepts used in high-level synthesis, and follows an example design throughout the synthesis process. In Part II, current high-level synthesis systems are surveyed.

Recently there has been increased interest in the development of computer-aided design programs to support the system level designer of integrated circuits more actively. Such design tools hold the promise of raising the level of abstraction at which an integrated circuit is designed, thus releasing the current designers from many of the details of logic and circuit level design. The promise further suggests that a whole new group of designers in neighboring engineering and science disciplines, with far less understanding of integrated circuit design, will also be able to increase their productivity and the functionality of the systems they design. This promise has been made repeatedly as each new higher level of computer-aided design tool is introduced and has repeatedly fallen short of fulfillment. This book presents the results of research aimed at introducing yet higher levels of design tools that will inch the integrated circuit design community closer to the fulfillment of that promise. 1. 1. SYNTHESIS OF INTEGRATED CmCUITS In the integrated circuit (Ie) design process, a behavior that meets certain specifications is conceived for a system, the behavior is used to produce a design in terms of a set of structural logic elements, and these logic elements are mapped onto physical units. The design process is impacted by a set of constraints as well as technological information (i. e. the logic elements and physical units used for the design).

The biggest challenge in any marketplace is uncertainty. The major changes taking place in world economies, politics, and demographics has raised market uncertainty to its highest level in the past 50 years. However, with new markets opening up in emerging and developing economies, the opportunities have never been better. To compete in this challe

Analysis and Synthesis of Singular Systems provides a base for further theoretical research and a design guide for engineering applications of singular systems. The book presents recent advances in analysis and synthesis problems, including state-feedback control, static output feedback control, filtering, dissipative control, H8 control, reliable control, sliding mode control and fuzzy control for linear singular systems and nonlinear singular systems. Less conservative and fresh novel techniques, combined with the linear matrix inequality (LMI) technique, the slack matrix method, and the reciprocally convex combination approach are applied to singular systems. This book will be of interest to academic researchers, postgraduate and undergraduate students working in control theory and singular systems.