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Mathematical Control Theory: Deterministic Finite Dimensional Systems (Texts in Applied Mathematics)
  
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Mathematical Control Theory: Deterministic Finite Dimensional Systems (Texts in Applied Mathematics) [Hardcover]

Eduardo D. Sontag (Author)


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Hardcover, February 1991 --  
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Book Description

0387973664 978-0387973661 February 1991
This textbook, based on courses taught at Rutgers University, introduces the core concepts and results of control and system theory in a self-contained and elementary fashion. With an emphasis on foundational aspects, it is intended to be used in a rigorous, proof-oriented course to an audience consisting of advanced undergraduate or beginning graduate students. In developing the necessary techniques from scratch, the only background assumed is basic mathematics. An introductory chapter describes the main contents of the book in an informal manner and gives the reader a perspective of modern control theory. While linear systems are the focus of much of the presentation, most definitions and many results are given in a far more general framework. Although mostly elementary, the text includes illustrations of the applications in control of techniques from Lie groups, nonlinear analysis, commutative algebra and other areas of "pure" mathematics. With an emphasis on a complete and totally self-contained presentation and containing an extensive bibliography and index, "Mathematical Control Theory" may be used as a reference source as well. The book covers the algebraic theory of linear systems, including controllability, observability, feedback equivalence, families of systems, controlled invariant subspaces, realization and minimality, stability via Lyapunov as well as input/output methods, ideas of optimal control, observers and dynamic feedback, parameterization of stabilizing controllers, tracking, Kalman filtering (introduced through a deterministic version of "optimal observation"), and basic facts about frequency domain such as the Nyquist criterion. Several nonlinear topics, such as Volterra series, smooth feedback stabilization and finite-experiment observability, as well as many results in automata theory of relevance for discrete-event control, are also included. The text highlights the distinctions and the similarities between continuous and discrete time systems, as well as the sampling process that relates them.
--This text refers to an out of print or unavailable edition of this title.

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From the reviews "This book will be very useful for mathematics and engineering students interested in a modern and rigorous systems course, as well as for the experts in control theory and applications." MATHEMATICAL REVIEWS --This text refers to an alternate Hardcover edition.

Product Details

  • Hardcover: 396 pages
  • Publisher: Springer-Verlag (February 1991)
  • Language: English
  • ISBN-10: 0387973664
  • ISBN-13: 978-0387973661
  • Product Dimensions: 9.8 x 6.5 x 1 inches
  • Shipping Weight: 1.6 pounds
  • Amazon Best Sellers Rank: #5,254,905 in Books (See Top 100 in Books)

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Inside This Book (learn more)
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First Sentence:
Mathematical control theory is the area of application-oriented mathematics that deals with the basic principles underlying the analysis and design of control systems. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
accessibility rank condition, asymptotically observable, ith canonical basis vector, asymptotically controllable, controllability decomposition, linearized pendulum, asymptotic controllability, topological system, feedback equivalence, linearization principle, piecewise constant controls, unique optimal control, output controllable, feedback equivalent, asymptotic notions, output controllability, local controllability, feedback linearizable, nontrivial interval, bilinear systems, controllable pair, nonlinear stabilization, reachable set, equilibrium pair, reachability matrix
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Pole-Shifting Theorem, Cayley-Hamilton Theorem, Implicit Function Theorem, Contraction Mapping Theorem, Spectral Mapping Theorem, Inverse Function Theorem, Massera's Theorem, Mean Value Theorem, Use Exercise
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