Neural Network-Based State Estimation of Nonlinear Systems [electronic resource] : Application to Fault Detection and Isolation / by Heidar A. Talebi, Farzaneh Abdollahi, Rajni V. Patel, Khashayar Khorasani.

Neural Network-Based State Estimation Schemes -- Neural Network-Based System Identification Schemes -- An Actuator Fault Detection and Isolation Scheme: Experiments in Robotic Manipulators -- A Robust Actuator Gain Fault Detection and Isolation Scheme -- A Robust Sensor and Actuator Fault Detection and Estimation Approach.

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 textbooks 2. Lectures on a new field, or presenting a new angle on a classical field 3. Research reports 4. Reports of meetings, provided they are a) of exceptional interest and b) devoted to a specific topic. The timeliness of subject material is very important. Information for Authors Manuscripts should be written in English and be no less the 100, preferably no more than 500 pages. The manuscript in its final and approved version must be submitted in camera-ready form. Authors are encouraged to use LATEX together with the corresponding Springer LATEX macro packages. The corresponding electronic files are also required for the production process, in paticular the online version. Detailed instructions for authors can be found on the engineering site of our homepage: springer.com/series/642. Manuscripts should be sent to one of the series editors, Professor Dr.-Ing. M. Thomas, Institut fȭr Regelungstechnik, Technische Universitt, AppelstraȖe 11, 30167 Hannover, Germany, or Professor M. Morari, Institut fȭr Automatik, ETH/ETL I 29, PhysikstraȖe 3, 8092 Zȭrich, Switzerland, or directly to the Engineering Editor, Springer-Verlag, TiergartenstresȖe 17, 69121 Heidelberg, Germany.

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