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Nonlinear estimation and applications to industrial systems control /
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Nova Science Publishers,
[2012]
|
| Colección: | Engineering tools, techniques and tables.
Mathematics research developments series. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 049 | |a UAMI | ||
| 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. | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Automatic control. | |
| 650 | 0 | |a Nonlinear theories. | |
| 650 | 0 | |a Estimation theory. | |
| 650 | 6 | |a Commande automatique. | |
| 650 | 6 | |a Théories non linéaires. | |
| 650 | 6 | |a Théorie de l'estimation. | |
| 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 |0 (OCoLC)fst00822702 | |
| 650 | 7 | |a Estimation theory. |2 fast |0 (OCoLC)fst00915531 | |
| 650 | 7 | |a Nonlinear theories. |2 fast |0 (OCoLC)fst01038812 | |
| 700 | 1 | |a Rigatos, Gerasimos G., |d 1971- | |
| 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://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=541958 |z Texto completo |
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