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120730s2012 nyua ob 001 0 eng |
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|a TEC
|x 037000
|2 bisacsh
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|a HCDD
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|a Nonlinear estimation and applications to industrial systems control /
|c Gerasimos Rigatos, editor.
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|a New York :
|b Nova Science Publishers,
|c [2012]
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|a 1 online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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490 |
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|a Engineering tools, techniques and tables
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|a Mathematics research developments
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|a Includes bibliographical references and index.
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|a Description based on print version record.
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|a English.
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|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.
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|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.
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|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.
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|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.
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|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.
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|a Automatic control.
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|a Nonlinear theories.
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|a Estimation theory.
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|a TECHNOLOGY & ENGINEERING
|x Automation.
|2 bisacsh
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|a TECHNOLOGY & ENGINEERING
|x Robotics.
|2 bisacsh
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|a Automatic control
|2 fast
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|a Estimation theory
|2 fast
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|a Nonlinear theories
|2 fast
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|a Rigatos, Gerasimos G.,
|d 1971-
|1 https://id.oclc.org/worldcat/entity/E39PBJppBhrGBMvPjtCjwtfQbd
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758 |
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|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
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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
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830 |
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0 |
|a Engineering tools, techniques and tables.
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830 |
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0 |
|a Mathematics research developments series.
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856 |
4 |
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|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=3021659
|y Click for online access
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903 |
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|a EBC-AC
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|a 92
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