Graham C. Goodwin – författare

The area of adaptive systems, which encompasses recursive identification, adaptive control, filtering and signal processing, has been one of the most active areas of the late 1980s and early 1990s. Since adaptive controllers are fundamentally nonlinear controllers which are applied to nominally linear, possibly stochastic and time-varying systems, their theoretical analysis is usually very difficult. Nevertheless, much fundamental progress has been on some key questions concerning their stability, convergence, performance and robustness. Moreover, adaptive controllers have been successfully employed in numerous practical applications, and have even entered the marketplace. This book discusses this area.

This book deals with the issue of fundamental limitations in filtering and control system design. This issue lies at the very heart of feedback theory since it reveals what is achievable, and conversely what is not achievable, in feedback systems. The subject has a rich history beginning with the seminal work of Bode during the 1940's and as subsequently published in his well-known book Feedback Amplifier Design (Van Nostrand, 1945). An interesting fact is that, although Bode's book is now fifty years old, it is still extensively quoted. This is supported by a science citation count which remains comparable with the best contemporary texts on control theory. Interpretations of Bode's results in the context of control system design were provided by Horowitz in the 1960's. For example, it has been shown that, for single-input single-output stable open-loop systems having rela­ tive degree greater than one, the integral of the logarithmic sensitivity with respect to frequency is zero. This result implies, among other things, that a reduction in sensitivity in one frequency band is necessarily accompa­ nied by an increase of sensitivity in other frequency bands. Although the original results were restricted to open-loop stable systems, they have been subsequently extended to open-loop unstable systems and systems having nonminimum phase zeros.

In this book, rather than emphasize differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates as high as they are, it is more appropriate to emphasise connections and similarities.

Sampled-data Models for Linear and Nonlinear Systems provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates being as high as they are, it is becoming more appropriate to emphasise connections and similarities. The text is driven by three motives:· the ubiquity of computers in modern control and signal-processing equipment means that sampling of systems that really evolve continuously is unavoidable;· although superficially straightforward, sampling can easily produce erroneous results when not treated properly; and· the need for a thorough understanding of many aspects of sampling among researchers and engineers dealing with applications to which they are central.The authors tackle many misconceptions which, although appearing reasonable at first sight, are in fact either partially or completely erroneous. They also deal with linear and nonlinear, deterministic and stochastic cases. The impact of the ideas presented on several standard problems in signals and systems is illustrated using a number of applications.Academic researchers and graduate students in systems, control and signal processing will find the ideas presented in Sampled-data Models for Linear and Nonlinear Systems to be a useful manual for dealing with sampled-data systems, clearing away mistaken ideas and bringing the subject thoroughly up to date. Researchers in statistics and economics will also derive benefit from the reworking of ideas relating a model derived from data sampling to an original continuous system.

A book that takes you through and beyond your doctoral studies. It will be a valuable reference throughout your working life.Drawing on their own extensive experience, the authors pass on invaluable advice by answering such questions as:Do I want to do a doctorate?How should I choose which doctorate and where to study?How do I achieve my doctorate?What career opportunities exist once I’ve completed my doctorate?What is the role of networking, leadership and reputation in building my career?How do I go about mentoring the next generation?What do I do when things don’t go to plan?This practical guide helps you to determine your best answer to all these questions and more. The authors not only discuss how to become a success but also how to keep success going, beginning with the choice to do a doctorate (or not) and what to expect, through how to get the best from student–supervisor interaction, the value of networking, the process of publication, how to choose between a career in academia or industry, while achieving work–life balance.The authors’ own thoughts are enriched by the life experiences of many colleagues and prominent individuals who have achieved success and recognition: the book contains inspirational quotes from established figures in academia and industry. They reflect on career options, what leads to a successful career, and how to make conscious career choices instead of letting things happen and hoping for the best. This ranges from avoiding common pitfalls—such as squandering your reputation—to developing that all-important energy: your personal passion.A Doctorate and Beyond will be an extra difference in making the most of the best times and will support you when the going gets tough. If you are contemplating doctoral studies in engineering or the physical sciences, or have a doctorate and are seeking career guidance, this book will change the wayyou think about life.For further discussion and information about the book please see the blog/forum hosted by the authors at http://adoctorateandbeyond.com/