Techniques in Discrete-Time Stochastic Control Systems

Advances in Theory and Applications

Series Editor:

  • Cornelius Leondes, University of California, Los Angeles, U.S.A.

Praise for Previous Volumes"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 CORRESPONDANCE"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
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Audience

Electrical engineers in digital signal processing.

 

Book information

  • Published: September 1995
  • Imprint: ACADEMIC PRESS
  • ISBN: 978-0-12-012773-3

Reviews

"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



Table of Contents

X. Shen, Z. Aganovic, and Z. Gajic, Techniques for Reduced-Order Control of Stochastic Discrete-Time Weakly Coupled Large Scale Systems. J.K. Tugnait, Techniques in Stochastic System Identification with Noisy Input& Output System Measurements. E.E. Yaz, Robust Stability of Discrete-Time Randomly Perturbed Systems. E.E. Yaz, Observer Design for Discrete-Time Stochastic Parameter Systems. G. Ferretti, C. Maffezzoni, and R. Scattolini, The RecursiveEstimation of Time Delay in Sampled-Data Control Systems. B.-S. Chen and S.-C. Peng, Stability Analysis of Digital Kalman Filters. L. Hong, Distributed Discrete Filtering for Stochastic Systems with Noisy and Fuzzy Measurements. M. Abbad and J.A. Filar, Algorithms for Singularly Perturbed Markov Control Problems: A Survey. H.-H. Yeh, S.S. Banda, and P.J. Lynch, Control of Unknown Systems via Deconvolution. Subject Index.