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Complex Dynamic System Modelling, Identification and Control
Sprache: Englisch

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Beschreibung
The study of complex dynamic systems has become increasingly important in recent years due to its wide range of applications in fields such as engineering, physics, economics, and biology. These systems are characterized by their interconnectedness, nonlinearities, and feedback loops, which make them difficult to understand and control. As a result, there has been growing interest in developing tools and techniques for the modelling, identification, and control of complex dynamic systems.
The aim of this reprint is to provide an overview of the state-of-the-art methods for the modelling, identification, and control of complex dynamic systems. This reprint covers a wide range of topics, including system identification, model-based control, adaptive control, nonlinear control, and predictive control. It also includes case studies and examples from different fields to demonstrate the practical application of these methods.
This reprint is intended for researchers, graduate students, and practitioners in the field of control systems. It assumes a basic understanding of linear systems theory, calculus, and linear algebra. Overall, this reprint provides a comprehensive and up-to-date overview of the methods for the modelling, identification, and control of complex dynamic systems.
The study of complex dynamic systems has become increasingly important in recent years due to its wide range of applications in fields such as engineering, physics, economics, and biology. These systems are characterized by their interconnectedness, nonlinearities, and feedback loops, which make them difficult to understand and control. As a result, there has been growing interest in developing tools and techniques for the modelling, identification, and control of complex dynamic systems.
The aim of this reprint is to provide an overview of the state-of-the-art methods for the modelling, identification, and control of complex dynamic systems. This reprint covers a wide range of topics, including system identification, model-based control, adaptive control, nonlinear control, and predictive control. It also includes case studies and examples from different fields to demonstrate the practical application of these methods.
This reprint is intended for researchers, graduate students, and practitioners in the field of control systems. It assumes a basic understanding of linear systems theory, calculus, and linear algebra. Overall, this reprint provides a comprehensive and up-to-date overview of the methods for the modelling, identification, and control of complex dynamic systems.
Details
Erscheinungsjahr: 2023
Fachbereich: Allgemeines
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
ISBN-13: 9783036576619
ISBN-10: 3036576614
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Hersteller: MDPI AG
Maße: 250 x 175 x 27 mm
Erscheinungsdatum: 31.05.2023
Gewicht: 1,081 kg
Artikel-ID: 127145985
Details
Erscheinungsjahr: 2023
Fachbereich: Allgemeines
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
ISBN-13: 9783036576619
ISBN-10: 3036576614
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Hersteller: MDPI AG
Maße: 250 x 175 x 27 mm
Erscheinungsdatum: 31.05.2023
Gewicht: 1,081 kg
Artikel-ID: 127145985
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