Multivariable Control: New Concepts and Tools
The foundation of linear systems theory goes back to Newton and has been followed over the years by many improvements such as linear operator theory, Laplace Transformation etc. After the World War II, feedback control theory has shown a rapid development, and standard elegant analysis and synthesis...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1984
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| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | The foundation of linear systems theory goes back to Newton and has been followed over the years by many improvements such as linear operator theory, Laplace Transformation etc. After the World War II, feedback control theory has shown a rapid development, and standard elegant analysis and synthesis techniques have been discovered by control system workers, such as root-locus (Evans) and frequency response methods (Nyquist, Bode). These permitted a fast and efficient analysis of simple-loop control systems, but in their original "paper-and-pencil" form were not appropriate for multiple loop high-order systems. The advent of fast digital computers, together with the development of multivariable multi-loop system techniques, have eliminated these difficulties. Multivariable control theory has followed two main avenues; the optimal control approach, and the algebraic and frequency-domain control approach. An important key concept in the whole multivariable system theory is "ob servability and controllability" which revealed the exact relationships between transfer functions and the state variable representations. This has given new insight into the phenomenon of "hidden oscillations" and to the transfer function modelling of dynamic systems. The basic tool in optimal control theory is the celebrated matrix Riccati differential equation which provides the time-varying feedback gains in a linear-quadratic control system cell. Much theory presently exists for the characteristic properties and solution of this Riccati equation |
| Beschreibung: | 1 Online-Ressource (504 p) |
| ISBN: | 9789400964785 |
| DOI: | 10.1007/978-94-009-6478-5 |
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| 520 | |a The foundation of linear systems theory goes back to Newton and has been followed over the years by many improvements such as linear operator theory, Laplace Transformation etc. After the World War II, feedback control theory has shown a rapid development, and standard elegant analysis and synthesis techniques have been discovered by control system workers, such as root-locus (Evans) and frequency response methods (Nyquist, Bode). These permitted a fast and efficient analysis of simple-loop control systems, but in their original "paper-and-pencil" form were not appropriate for multiple loop high-order systems. The advent of fast digital computers, together with the development of multivariable multi-loop system techniques, have eliminated these difficulties. Multivariable control theory has followed two main avenues; the optimal control approach, and the algebraic and frequency-domain control approach. An important key concept in the whole multivariable system theory is "ob servability and controllability" which revealed the exact relationships between transfer functions and the state variable representations. This has given new insight into the phenomenon of "hidden oscillations" and to the transfer function modelling of dynamic systems. The basic tool in optimal control theory is the celebrated matrix Riccati differential equation which provides the time-varying feedback gains in a linear-quadratic control system cell. Much theory presently exists for the characteristic properties and solution of this Riccati equation | ||
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| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
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| spelling | Multivariable Control New Concepts and Tools edited by Spyros G. Tzafestas Dordrecht Springer Netherlands 1984 1 Online-Ressource (504 p) txt rdacontent c rdamedia cr rdacarrier The foundation of linear systems theory goes back to Newton and has been followed over the years by many improvements such as linear operator theory, Laplace Transformation etc. After the World War II, feedback control theory has shown a rapid development, and standard elegant analysis and synthesis techniques have been discovered by control system workers, such as root-locus (Evans) and frequency response methods (Nyquist, Bode). These permitted a fast and efficient analysis of simple-loop control systems, but in their original "paper-and-pencil" form were not appropriate for multiple loop high-order systems. The advent of fast digital computers, together with the development of multivariable multi-loop system techniques, have eliminated these difficulties. Multivariable control theory has followed two main avenues; the optimal control approach, and the algebraic and frequency-domain control approach. An important key concept in the whole multivariable system theory is "ob servability and controllability" which revealed the exact relationships between transfer functions and the state variable representations. This has given new insight into the phenomenon of "hidden oscillations" and to the transfer function modelling of dynamic systems. The basic tool in optimal control theory is the celebrated matrix Riccati differential equation which provides the time-varying feedback gains in a linear-quadratic control system cell. Much theory presently exists for the characteristic properties and solution of this Riccati equation Engineering Electrical Engineering Electrical engineering Regelungstheorie (DE-588)4122327-5 gnd rswk-swf Kontrolltheorie (DE-588)4032317-1 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Mehrgrößenregelung (DE-588)4038377-5 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift gnd-content 2\p (DE-588)1071861417 Konferenzschrift 1983 Athen gnd-content Mehrgrößenregelung (DE-588)4038377-5 s 3\p DE-604 Kontrolltheorie (DE-588)4032317-1 s 4\p DE-604 Regelungstheorie (DE-588)4122327-5 s 5\p DE-604 Mathematisches Modell (DE-588)4114528-8 s 6\p DE-604 Tzafestas, Spyros G. edt Erscheint auch als Druck-Ausgabe 9789400964808 https://doi.org/10.1007/978-94-009-6478-5 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 6\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Multivariable Control New Concepts and Tools Engineering Electrical Engineering Electrical engineering Regelungstheorie (DE-588)4122327-5 gnd Kontrolltheorie (DE-588)4032317-1 gnd Mathematisches Modell (DE-588)4114528-8 gnd Mehrgrößenregelung (DE-588)4038377-5 gnd |
| subject_GND | (DE-588)4122327-5 (DE-588)4032317-1 (DE-588)4114528-8 (DE-588)4038377-5 (DE-588)1071861417 |
| title | Multivariable Control New Concepts and Tools |
| title_auth | Multivariable Control New Concepts and Tools |
| title_exact_search | Multivariable Control New Concepts and Tools |
| title_full | Multivariable Control New Concepts and Tools edited by Spyros G. Tzafestas |
| title_fullStr | Multivariable Control New Concepts and Tools edited by Spyros G. Tzafestas |
| title_full_unstemmed | Multivariable Control New Concepts and Tools edited by Spyros G. Tzafestas |
| title_short | Multivariable Control |
| title_sort | multivariable control new concepts and tools |
| title_sub | New Concepts and Tools |
| topic | Engineering Electrical Engineering Electrical engineering Regelungstheorie (DE-588)4122327-5 gnd Kontrolltheorie (DE-588)4032317-1 gnd Mathematisches Modell (DE-588)4114528-8 gnd Mehrgrößenregelung (DE-588)4038377-5 gnd |
| topic_facet | Engineering Electrical Engineering Electrical engineering Regelungstheorie Kontrolltheorie Mathematisches Modell Mehrgrößenregelung Konferenzschrift Konferenzschrift 1983 Athen |
| url | https://doi.org/10.1007/978-94-009-6478-5 |
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