Review of adaptive control tutorial. Petros Ioannou and Baris Fidan, SIAM, Philadelphia, PA, 2006. No. of pages: 389. Price: $99. ISBN 0-89871-615-2

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Chapter 9 examines software design in the microcontroller and gives many smart recommendations and techniques to produce low power and robust solutions. It is demonstrated how chip area can be effectively minimized. The concepts presented in this chapter will in general benefit anyone involved in low-level coding. In the closing chapter, the authors consider the issue of communication between a central computer and the high number of smart sensors in large systems. Complexity, for example, can arise in case the sensors are from different manufacturers. Sensor buses and network protocols and modern sensor interface circuits are discussed. The monograph has been carefully written as it is attested by a quasi lack of typos. The authors have managed to provide a lucid text that should hopefully encourage the industry to invest more into smart sensors. Smart sensors are already among us and with wireless technology they are,

REVIEW OF ADAPTIVE CONTROL TUTORIAL . Petros Ioannou and Baris Fidan, SIAM, Philadelphia, PA, 2006. No. of pages: 389. Price: $99. ISBN 089871-615-2

Adaptive control techniques have been around since the 1950s. This subject has inspired a great deal of academic work, and this continues to be the case. Several books have been written on the topic. There is an active IFAC technical committee called ‘Adaptive Control and Learning’, and most large control conferences include sessions on adaptive control. Some adaptive control techniques, particularly autotuning methods, have become commonly used in commercially available controllers, while other industrial uses of adaptive control are more problem specific. Petros Ioannou, the main author, is a professor of electrical engineering systems at the University of Southern California. He is also the director of the Center for Advanced Transportation Technologies. He has a long trajectory and is well respected in the field of adaptive control. Baris Fidan, a former PhD student of Ioannou, is a senior researcher at the National ICT Australia and an adjunct research fellow at the Australian National University. The book presents several important techniques and algorithms for adaptive control in a tutorial manner, so that it is suitable as a textbook. The authors aim at different types of readers, so the book Copyright q

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for instance, safeguarding major civil infrastructures [1]. REFERENCE 1. Spencer BF, Ruiz-Sandoval M, Kurata N. Smart sensing technology: opportunities and challenges. Journal of Structural Control and Health Monitoring 2004; 11(4):349–368.

YOGESHWARSING CALLEECHARAN Dynamic Systems Group Department of Mechanical and Aeronautical Engineering University of Pretoria Pretoria 0002 South Africa (DOI: 10.1002/acs.997)

may be suitable to practical engineers, graduate students or experienced researchers. A good tutorial feature of the book is the large number of examples that are used to illustrate the concepts. It is also notable that most techniques are fully derived, and rigorous theoretical proofs are provided where appropriate. The authors intend to help readers learn how to design, simulate and implement adaptive controllers, noting that reading the proofs and derivations is not a requisite to benefit from the book. However, researchers and advanced students will find reading the proofs most enlightening. Most chapters have a long list of proposed exercises, and a solutions manual is available. Chapter 1 introduces the subject, classifies adaptive control techniques, justifies the use of adaptive control and provides an interesting historical summary with key references of the main developments in the field. Chapter 2 deals with parametric models, and it introduces various structures and their parametric representation, including simple transfer function, bi-linear, and state-space models. Chapters 3 and 4 deal with identification and adaptation techniques for continuous and discretetime models, respectively. Various parameter estimation techniques are described for different model structures, including gradient, least-squares and parameter projection methods. Techniques for robust parameter estimation and robust adaptive laws are also described. Real-time state-space Int. J. Adapt. Control Signal Process. 2008; 22:811–813

BOOK REVIEWS

model identifiers and adaptive observers are also presented. Chapter 5 deals with various types of model reference adaptive control in continuous time, starting from the simplest scheme where only one parameters is adapted and progressing to more general SISO cases. Direct, indirect and robust methods are discussed in detail. Chapter 6 covers pole placement control in continuous time, relaxing the minimum phase assumption that is required in Chapter 5. Polynomial and state-space approaches are given, as well as adaptive linear quadratic control. Robust pole placement methods are also described. Chapter 7 deals with discrete-time counterparts of some of the methods described in Chapters 5 and 6. Finally, Chapter 8 deals with adaptive control for nonlinear plants. The main methods presented here are adaptive backstepping and neural networkbased adaptive control. It is worth noting that Chapters 3–6 and 8 have case studies which consist of detailed design examples and simulation results of systems such as the identification of traffic flow, cruise control of cars,

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attitude control of spacecraft, and tracking control of F-16 aircraft. The book contains appendices with suitable background material as well as additional theoretical proofs. Online material is also available in the form of long proofs, additional examples and Matlab-based simulations. I personally found that reading the discrete-time counterparts of the techniques previously presented in continuous time was somehow repetitive. However, the presence of techniques in both domains makes the book a more complete piece of work, and this makes it useful as a reference. The book will be generally useful to those interested in adaptive control, while it will be of great utility to those who teach the subject as well as their students. VICTOR M. BECERRA School of Systems Engineering University of Reading Reading RG6 6AY, U.K. (DOI: 10.1002/acs.1023)

Int. J. Adapt. Control Signal Process. 2008; 22:811–813