Nonlinear estimation and applications to industrial systems control / Gerasimos Rigatos, editor.

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Bibliographic Details
Other Authors: Rigatos, Gerasimos G., 1971-
Format: eBook
Language:English
Published: New York : Nova Science Publishers, [2012]
Series:Engineering tools, techniques and tables.
Mathematics research developments series.
Subjects:
Online Access:Click for online access

MARC

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245 0 0 |a Nonlinear estimation and applications to industrial systems control /  |c Gerasimos Rigatos, editor. 
264 1 |a New York :  |b Nova Science Publishers,  |c [2012] 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Engineering tools, techniques and tables 
490 1 |a Mathematics research developments 
504 |a Includes bibliographical references and index. 
588 |a Description based on print version record. 
546 |a English. 
505 0 |a NONLINEAR ESTIMATION AND APPLICATIONS TO INDUSTRIAL SYSTEMS CONTROL; NONLINEAR ESTIMATION AND APPLICATIONS TO INDUSTRIAL SYSTEMS CONTROL; LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA; CONTENTS; PREFACE; Chapter 1: A GENERALIZED ROBUST FILTERING FRAMEWORK FOR NONLINEAR DIFFERENTIAL-ALGEBRAIC SYSTEMS WITH UNCERTAINTIES; Abstract; 1. Introduction; 2. Preliminaries and Problem Statement; 2.1. Filter Structure; 2.2. Disturbance Attenuation Level; 3. H1 Filter Synthesis; 4. Converting SDP into Strict LMIs; 5. Robustness Against Nonlinear Uncertainty; 6. Illustrative Example. 
505 8 |a 7. Conclusions and Future Research DirectionsReferences; Chapter 2: VARIANCE-CONSTRAINED FILTERING FOR A CLASS OF NONLINEAR STOCHASTIC SYSTEMS; Abstract; 1. Introduction; 2. Filtering Problem for Time-Invariant Systems; 2.1. Problem Formulation; 2.2. Stability and Variance Analysis; 2.3. Robust Filter Design; future. 2.4.esrmns; 3. Filtering Problem with Missing Measurements ; 3.1. Problem Formulation; 3.2. Stability and Variance Analysis; 3.3. Robust Filter Design with Measurements Missing; 3.4. Robust Filter Design with Multiple Measurements Missing; 3.5. Numerical Example; 3.6. Summary. 
505 8 |a 4. Filtering Problem for Time-Varying Systems4.1. Problem Formulation; 4.2. System Covariance Analysis; 4.3. Robust Filter Design; 4.4. Numerical Example; 4.5. Summary; References; Chapter 3: RANDOM COEFFICIENT MATRICES KALMAN FILTERING WITH APPLICATIONS; Abstract; 1. Introduction; 2. Random Coefficient Matrices Kalman Filtering; 2.1. Estimator of the Random Coefficient Matrices Dynamic System; 2.2. Optimal Distributed Random Coefficient Matrices Kalman Filtering Fusion; 2.3. Numerical Examples; 3. Application to Multi-Target Tracking; 3.1. Background; 3.2. Single-Sensor DAIRKF. 
505 8 |a 3.3. Multisensor DAIRKF3.4. Numerical Examples; 4. Conclusion; Appendix; Acknowledgments; References; Chapter 4: ONLINE DISTRIBUTED EVALUATION OF INTERDEPENDENT CRITICAL INFRASTRUCTURES; Abstract; 1. Introduction; 2. Interdependency Modeling: State of the Art; 3. Mixed Holistic-Reductionistic Model; 3.1. Critical Infrastructure Simulation by Interdependent Agent (CISIA); 4. MICIE Online System; 5. Consensus; 6. Consensus of Fuzzy Variables; 6.1. Fuzzy Variables and Systems; 6.2. Fuzzy Consensus; 7. Case Study; 7.1. Power Grid; 7.2. SCADA Network; 7.3. Telecommunication Network. 
505 8 |a 7.4. An Illustrative Example8. Conclusions; Acknowledgement; References; Chapter 5: NONLINEAR ESTIMATION AND FAULT DETECTION IN LARGE-SCALE INDUSTRIAL HVAC SYSTEMS; Abstract; 1. Introduction; Motivation; Previous Work; Complications; Overview; 2. HVAC Systems; Architecture; Modes; Dynamic Modes; Static Modes; Combination Modes; Failures; Classification Based on Effect; Classification Based on Onset; Model Structure; 3. Mathematical Model & Examples; Multi-Unit Hybrid System Model; Assumptions; System Model Examples; 4. General Approach; Remarks; 5. Algorithm Description; FD Algorithm. 
650 0 |a Automatic control. 
650 0 |a Nonlinear theories. 
650 0 |a Estimation theory. 
650 7 |a TECHNOLOGY & ENGINEERING  |x Automation.  |2 bisacsh 
650 7 |a TECHNOLOGY & ENGINEERING  |x Robotics.  |2 bisacsh 
650 7 |a Automatic control  |2 fast 
650 7 |a Estimation theory  |2 fast 
650 7 |a Nonlinear theories  |2 fast 
700 1 |a Rigatos, Gerasimos G.,  |d 1971-  |1 https://id.oclc.org/worldcat/entity/E39PBJppBhrGBMvPjtCjwtfQbd 
758 |i has work:  |a Nonlinear estimation and applications to industrial systems control (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGMB7PwrRDbWc4rKRwQg8C  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |t Nonlinear estimation and applications to industrial systems control  |d New York : Nova Science Publishers, [2012]  |z 9781619428980 (hardcover)  |w (DLC) 2012021584 
830 0 |a Engineering tools, techniques and tables. 
830 0 |a Mathematics research developments series. 
856 4 0 |u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=3021659  |y Click for online access 
903 |a EBC-AC 
994 |a 92  |b HCD