- Tapa blanda: 518 páginas
- Editor: Springer; Edición: 2013 (24 de noviembre de 2012)
- Colección: Advanced Textbooks in Control and Signal Processing
- Idioma: Inglés
- ISBN-10: 1447143957
- ISBN-13: 978-1447143956
- Valoración media de los clientes: Sé el primero en opinar sobre este producto
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Robust and Adaptive Control: With Aerospace Applications (Advanced Textbooks in Control and Signal Processing) (Inglés) Tapa blanda – 24 nov 2012
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Descripción del producto
From the book reviews:“Robust and adaptive control is a well written and self-contained book, driven by aerospace applications. This book is very rich in both control theory and examples. … the authors succeed in establishing a good trade-off between theoretical background and developments and practical aspects related to flight system applications. The book can be used as a textbook for senior undergraduate students, graduate students, practicing engineers and academic researchers. It is recommended to all major libraries.” (Ali Zolghadri, Mathematical Reviews, July, 2014)
Reseña del editor
Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems.
The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained presentation of the design and analysis of model reference adaptive control (MRAC) for nonlinear uncertain dynamical systems. Recent extensions and modifications to MRAC design are included, as are guidelines for combining robust optimal and MRAC controllers. Features of the text include:
· case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms;
· detailed background material for each chapter to motivate theoretical developments;
· realistic examples and simulation data illustrating key features of the methods described; and
· problem solutions for instructors and MATLAB® code provided electronically.
The theoretical content and practical applications reported address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles that are drawn from the authors' extensive professional experience with The Boeing Company. The systems covered are challenging, often open-loop unstable, with uncertainties in their dynamics, and thus requiring both persistently reliable control and the ability to track commands either from a pilot or a guidance computer.
Readers are assumed to have a basic understanding of root locus, Bode diagrams, and Nyquist plots, as well as linear algebra, ordinary differential equations, and the use of state-space methods in analysis and modeling of dynamical systems.
Robust and Adaptive Control is intended to methodically teach senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications. Practicing engineers and academic researchers will also find the book of great instructional value.
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Too many books on robust control are just full of algebraic manipulation, proofs, and the real meaning of what is going on is lost in math. This book not only describes the derivation at a digestible level, but also describes what you can do with the control itself (such as loop shaping and Bode's sensitivity integral which is not covered in other texts), and is full of good examples as well.
A particular section I like is the comparison of various control approaches taken (LQR, LTR, LTR-LM, and H-infinity). I also like how the authors talk about the constraints in the H-infinity formulation. Many other texts just say the problem isn't feasible due to the Ricatti equations not having a solution, but here they mention the practical aspects of those particular formulations, having the requirement to be able to separate out the disturbance and the control, and describing how certain programs modify constraints by not requiring that D'*D be identity. There is a lot more meaning in that kind of description than just saying the solution doesn't exist.
This book is one I am currently referring to for professional applications of these techniques.
This book will work well after more specific senior and graduate texts in dynamics, non-linear systems, and adaptive control, like e.g. those by Khalil and Ioannou. Unlike fundamental texts which demonstrate theoretical concepts with contrived examples, this work is based on real world examples that lead the theoretical development. The authors are perhaps unique in their position as subject matter experts in industry with strong ties to the leading academic figures in robust and adaptive control theory. Therefore, their examples are both insightful and compelling.
For those interested in the state of the art in robust adaptive control, this book forms an excellent source for the interplay between robustness and dynamics of adaptive elements in control design. Whereas this text ties together developments of the past 3 decades with more classical notions, it is also a nice segue into the recent L1-adaptive control formulations.
However, there are quite a few typos in the book, as it is the first edition. The good thing is, the typos are easy to catch.