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E-raamat: Discrete-Time Control System Implementation Techniques: Advances in Theory and Applications

Series edited by (University of California, Los Angeles, U.S.A.)
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A comprehensive, modern treatment of the subject in eight contributed chapters: workbench techniques in the design of digital control systems; recursive techniques in state-space and matrix fraction realizations for linear systems; bounding techniques for robust stability of time-variant discrete-time systems; performance prediction of hybrid algorithms; decentralized control techniques in periodically time-varying discrete-time control systems; a finite element method for the solution of optimal control problems; techniques in cross-coupled digital adaptive feedrate control for multiaxis machine tools; and globally stable single loop and decentralized adaptive systems with parameter projection. Annotation copyright Book News, Inc. Portland, Or.

Arvustused

"This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory." --IEEE GROUP CORRESPONDENCE

"This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control." --CONTROL

A. Leva, E. Locatelli, and R. Scattolini, Workbench Techniques in the
Design of Digital Control Systems. A. Barreiro, Recursive Techniques in
State-Space and Matrix Fraction Realizations for Linear Systems. P.H.Bauer
and E.I. Jury, Bounding Techniques for Robust Stability of Time-Variant
Discrete-Time Systems. X.R. Li and Y. Bar-Shalom, Performance Prediction of
Hybrid Algorithms. W.-Y. Yan and R.R. Bitmead, Decentralized Control
Techniques in Periodically Time-Varying Discrete-Time Control Systems. R.R.
Bless and D.H. Hodges, A Finite Element Method for the Solution of Optimal
Control Problems. H.-Y. Chuang and C.-H. Liu, Techniques in Cross-Coupled
Digital Adaptive Feedrate Control for Multiaxis Machine Tools. C. Wen,
Globally Stable Single Loop and Decentralized Adaptive Systems with Parameter
Projection. Subject Index.
Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.