Background
Moore, John Barratt was born on April 3, 1941 in Lung Ling, Yunan, China.
(The engineering objective of high performance control usi...)
The engineering objective of high performance control using the tools of optimal control theory, robust control theory, and adaptive control theory is more achiev able now than ever before, and the need has never been greater. Of course, when we use the term high peiformance control we are thinking of achieving this in the real world with all its complexity, uncertainty and variability. Since we do not expect to always achieve our desires, a more complete title for this book could be "Towards High Performance Control". To illustrate our task, consider as an example a disk drive tracking system for a portable computer. The better the controller performance in the presence of eccen tricity uncertainties and external disturbances, such as vibrations when operated in a moving vehicle, the more tracks can be used on the disk and the more memory it has. Many systems today are control system limited and the quest is for high performance in the real world.
http://www.amazon.com/gp/product/0817640045/?tag=2022091-20
(This work is aimed at mathematics and engineering graduat...)
This work is aimed at mathematics and engineering graduate students and researchers in the areas of optimization, dynamical systems, control sys tems, signal processing, and linear algebra. The motivation for the results developed here arises from advanced engineering applications and the emer gence of highly parallel computing machines for tackling such applications. The problems solved are those of linear algebra and linear systems the ory, and include such topics as diagonalizing a symmetric matrix, singular value decomposition, balanced realizations, linear programming, sensitivity minimization, and eigenvalue assignment by feedback control. The tools are those, not only of linear algebra and systems theory, but also of differential geometry. The problems are solved via dynamical sys tems implementation, either in continuous time or discrete time , which is ideally suited to distributed parallel processing. The problems tackled are indirectly or directly concerned with dynamical systems themselves, so there is feedback in that dynamical systems are used to understand and optimize dynamical systems. One key to the new research results has been the recent discovery of rather deep existence and uniqueness results for the solution of certain matrix least squares optimization problems in geomet ric invariant theory. These problems, as well as many other optimization problems arising in linear algebra and systems theory, do not always admit solutions which can be found by algebraic methods.
http://www.amazon.com/gp/product/1447134699/?tag=2022091-20
(The engineering objective of high performance control usi...)
The engineering objective of high performance control using the tools of optimal control theory, robust control theory, and adaptive control theory is more achiev able now than ever before, and the need has never been greater. Of course, when we use the term high peiformance control we are thinking of achieving this in the real world with all its complexity, uncertainty and variability. Since we do not expect to always achieve our desires, a more complete title for this book could be "Towards High Performance Control". To illustrate our task, consider as an example a disk drive tracking system for a portable computer. The better the controller performance in the presence of eccen tricity uncertainties and external disturbances, such as vibrations when operated in a moving vehicle, the more tracks can be used on the disk and the more memory it has. Many systems today are control system limited and the quest is for high performance in the real world.
http://www.amazon.com/gp/product/1461272823/?tag=2022091-20
( This augmented edition of a respected text teaches the ...)
This augmented edition of a respected text teaches the reader how to use linear quadratic Gaussian methods effectively for the design of control systems. It explores linear optimal control theory from an engineering viewpoint, with step-by-step explanations that show clearly how to make practical use of the material. The three-part treatment begins with the basic theory of the linear regulator/tracker for time-invariant and time-varying systems. The Hamilton-Jacobi equation is introduced using the Principle of Optimality, and the infinite-time problem is considered. The second part outlines the engineering properties of the regulator. Topics include degree of stability, phase and gain margin, tolerance of time delay, effect of nonlinearities, asymptotic properties, and various sensitivity problems. The third section explores state estimation and robust controller design using state-estimate feedback. Numerous examples emphasize the issues related to consistent and accurate system design. Key topics include loop-recovery techniques, frequency shaping, and controller reduction, for both scalar and multivariable systems. Self-contained appendixes cover matrix theory, linear systems, the Pontryagin minimum principle, Lyapunov stability, and the Riccati equation. Newly added to this Dover edition is a complete solutions manual for the problems appearing at the conclusion of each section.
http://www.amazon.com/gp/product/0486457664/?tag=2022091-20
( This graduate-level text augments and extends beyond un...)
This graduate-level text augments and extends beyond undergraduate studies of signal processing, particularly in regard to communication systems and digital filtering theory. Vital for students in the fields of control and communications, its contents are also relevant to students in such diverse areas as statistics, economics, bioengineering, and operations research. Topics include filtering, linear systems, and estimation; the discrete-time Kalman filter; time-invariant filters; properties of Kalman filters; computational aspects; and smoothing of discrete-time signals. Additional subjects encompass applications in nonlinear filtering; innovations representations, spectral factorization, and Wiener and Levinson filtering; parameter identification and adaptive estimation; and colored noise and suboptimal reduced order filters. Each chapter concludes with references, and four appendixes contain useful supplementary material.
http://www.amazon.com/gp/product/0486439380/?tag=2022091-20
educator researcher systems engineer
Moore, John Barratt was born on April 3, 1941 in Lung Ling, Yunan, China.
BEngring. with honors, University Queensland, Australia, 1962. MEngring., University Queensland, Australia, 1963. Doctor of Philosophy, University Santa Clara, 1966.
Senior lecturer department electrical and computer engineering, U. Newcastle, England, 1967-1968; associate professor, U. Newcastle, England, 1968-1973; professor, U. Newcastle, England, 1973-1982; professorial fellow department system engineering, Australian National U., 1982-1990; professor, Australian National U., 1990-1992; professor, head department system engineering, Australian National U., since 1992.
(The engineering objective of high performance control usi...)
(The engineering objective of high performance control usi...)
(This work is aimed at mathematics and engineering graduat...)
( This graduate-level text augments and extends beyond un...)
( This augmented edition of a respected text teaches the ...)
( As more applications are found, interest in Hidden Mark...)
Fellow Institute of Electrical and Electronics Engineers, Australian Academy of Sciences, Institution of Engineers (Australia), Australian Academy Technological Sciences and Engineering.
Married Janice Helene Nelson, January 28, 1967. Children: Kevin Wesley, Alan James.