Filtering theory: with applications to fault detection, isolation, and estimation

Filtering Theory: With Applications to F

📁 Filtering Theory: With Applications to Fault Detection, Isolation, and Estimation

✍ Ali Saberi, Anton A. Stoorvogel, Peddapullaiah Sannuti (eds.) 📂 Library 📅 2007 🏛 Birkhäuser Basel 🌐 English

The focus of this book is on filtering for linear processes, and its primary goal is to design filters from a class of linear stable unbiased filters that yield an estimation error with the lowest root-mean-square (RMS) norm. Various hierarchical classes of filtering problems are defined based

Filtering theory: with applications to f

📁 Filtering theory: with applications to fault detection, isolation, and estimation

✍ Saberi A., Sannuti P., Stoorvogel A.A. 📂 Library 📅 2004 🏛 Birkhäuser 🌐 English

Filtering theory is central to a wide variety of disciplines, including control, communications, and signal processing. This monograph treats linear filtering and inverse filtering in a general setting, presenting a state-of-the art view of H_2, H_8 and a variety of mixed H_2 and H_8 filtering issue

Detection Estimation and Modulation Theo

📁 Detection Estimation and Modulation Theory, Detection, Estimation, and Filtering Theory

✍ Harry L. Van Trees, Kristine L. Bell, Zhi Tian 📂 Library 📅 2013 🏛 Wiley 🌐 English

Originally published in 1968, Harry Van Trees’s Detection, Estimation, and Modulation Theory, Part I is one of the great time-tested classics in the field of signal processing. Highly readable and practically organized, it is as imperative today for professionals, researchers, and students in optimu

Neural Network-Based State Estimation of

📁 Neural Network-Based State Estimation of Nonlinear Systems: Application to Fault Detection and Isolation

✍ Heidar A. Talebi, Farzaneh Abdollahi, Rajni V. Patel, Khashayar Khorasani (auth. 📂 Library 📅 2010 🏛 Springer-Verlag New York 🌐 English

This series aims to report new developments in the fields of control and information sciences –quickly, informally and at a high level. The type material considered for publication includes:1. Preliminary drafts of monographs and advanced textbooks2. Lectures on a new field, or p

Neural Network-Based State Estimation of

📁 Neural Network-Based State Estimation of Nonlinear Systems: Application to Fault Detection and Isolation

✍ Heidar A. Talebi, Farzaneh Abdollahi, Rajni V. Patel, Khashayar Khorasani (auth. 📂 Library 📅 2010 🏛 Springer-Verlag New York 🌐 English

This series aims to report new developments in the fields of control and information sciences –quickly, informally and at a high level. The type material considered for publication includes:1. Preliminary drafts of monographs and advanced textbooks2. Lectures on a new field, or p

Filtering, Control and Fault Detection w

📁 Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

✍ Hongli Dong, Zidong Wang, Huijun Gao(auth.) 📂 Library 📅 2013 🌐 English

This book investigates the filtering, control and fault detection problems for several classes of nonlinear systems with randomly occurring incomplete information. It proposes new concepts, including RVNs, ROMDs, ROMTCDs, and ROQEs. The incomplete information under consideration primarily include