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Ivan Markovsky obtained Ph.D. in Electrical Engineering from the Katholieke Universiteit Leuven in 2005. Since then, he is teaching and doing research in control and system theory at the School of Electronics and Computer Science (ECS) of the University of Southampton and the Department of Fundamental Electricity and Instrumentation (ELEC) of the Vrije Universiteit Brussel, where he is currently an associate processor. His research interests are structured low-rank approximation, system identification, and data-driven control, topics on which he has published 70 peer-reviewed papers, 7 book chapters, and 2 monographs. He is an associate editor of the International Journal of Control and the SIAM Journal of Matrix Analysis and Applications. In 2011, Ivan Markovsky was awarded an ERC starting grant on the topic of structured low-rank approximation.
Provides the reader with an analysis tool which is more generally applicable than the commonly-used total least squares
Shows the reader solutions to the problem of data modelling by linear systems from a sweeping field of applications
Includes supplementary electronic and class-based materials to aid tutors in presenting this material to their students
Chapter 1. Introduction.- Part I: Linear modeling problems.- Chapter 2. From data to models.- Chapter 3. Exact modelling.- Chapter 4. Approximate modelling.- Part II: Applications and generalizations.- Chapter 5. Applications.- Chapter 6. Data-driven ¿ltering and control.- Chapter 7. Nonlinear modeling problems.- Chapter 8. Dealing with prior knowledge.- Index.
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | Nachrichtentechnik |
Genre: | Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Seiten: | 288 |
Reihe: | Communications and Control Engineering |
Inhalt: |
xiii
272 S. 4 s/w Illustr. 15 farbige Illustr. 272 p. 19 illus. 15 illus. in color. With online files/update. |
ISBN-13: | 9783319896199 |
ISBN-10: | 3319896199 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-89619-9 |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: | Markovsky, Ivan |
Auflage: | 2nd ed. 2019 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG Communications and Control Engineering |
Maße: | 241 x 160 x 21 mm |
Von/Mit: | Ivan Markovsky |
Erscheinungsdatum: | 17.08.2018 |
Gewicht: | 0,652 kg |
Ivan Markovsky obtained Ph.D. in Electrical Engineering from the Katholieke Universiteit Leuven in 2005. Since then, he is teaching and doing research in control and system theory at the School of Electronics and Computer Science (ECS) of the University of Southampton and the Department of Fundamental Electricity and Instrumentation (ELEC) of the Vrije Universiteit Brussel, where he is currently an associate processor. His research interests are structured low-rank approximation, system identification, and data-driven control, topics on which he has published 70 peer-reviewed papers, 7 book chapters, and 2 monographs. He is an associate editor of the International Journal of Control and the SIAM Journal of Matrix Analysis and Applications. In 2011, Ivan Markovsky was awarded an ERC starting grant on the topic of structured low-rank approximation.
Provides the reader with an analysis tool which is more generally applicable than the commonly-used total least squares
Shows the reader solutions to the problem of data modelling by linear systems from a sweeping field of applications
Includes supplementary electronic and class-based materials to aid tutors in presenting this material to their students
Chapter 1. Introduction.- Part I: Linear modeling problems.- Chapter 2. From data to models.- Chapter 3. Exact modelling.- Chapter 4. Approximate modelling.- Part II: Applications and generalizations.- Chapter 5. Applications.- Chapter 6. Data-driven ¿ltering and control.- Chapter 7. Nonlinear modeling problems.- Chapter 8. Dealing with prior knowledge.- Index.
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | Nachrichtentechnik |
Genre: | Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Seiten: | 288 |
Reihe: | Communications and Control Engineering |
Inhalt: |
xiii
272 S. 4 s/w Illustr. 15 farbige Illustr. 272 p. 19 illus. 15 illus. in color. With online files/update. |
ISBN-13: | 9783319896199 |
ISBN-10: | 3319896199 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-89619-9 |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: | Markovsky, Ivan |
Auflage: | 2nd ed. 2019 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG Communications and Control Engineering |
Maße: | 241 x 160 x 21 mm |
Von/Mit: | Ivan Markovsky |
Erscheinungsdatum: | 17.08.2018 |
Gewicht: | 0,652 kg |