Stochastic Digital Control System Techniques: Advances in Theory and Applications

Praise for the Series:
"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

I.S. Apostolakis, Algorithmic Techniques in Estimation and Control for Multirate Sampled Digital Control Systems. G.G. Zhu and R.E. Skelton, Output Covariance Constraint Problem for Periodic and Multirate Systems. G. De Nicolao, R.R. Bitmead, and M. Gevers, Discrete-Time Fake Riccati Equations for Kalman Filtering and Receding-Horizon Control. F.B. Hanson, Techniques in Computational Stochastic Dynamic Programming. S.K. Pillai, Techniques in ModelError by Means of Linear Kalman Filtering. X.R. Li, Hybrid Estimation Techniques. H.E. Emara-Shabaik, Nonlinear Systems Modeling & Identification Using Higher Order Statistics/Polyspectra. T. Westerlund, S. Karrila, P.M. Makila, and A. Brink, Techniques in the Maximum Likelihood Estimation of the Covariance Matrix. L. Campo, Y. Bar-Shalom, and X.R. Li, Control of Discrete-Time Hybrid Stochastic Systems. S. Sangsuk-Iam and T.E. Bullock, The Discrete-Time Kalman Filter under Uncertainty in Noise Covariances. Subject Index.