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Observer design for nonlinear dynami...

Boutat, Driss.

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Observer design for nonlinear dynamical systems = differential geometric methods /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Observer design for nonlinear dynamical systems/ by Driss Boutat, Gang Zheng.
其他題名:	differential geometric methods /
作者:	Boutat, Driss.
其他作者:	Zheng, Gang.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xiii, 192 p. :ill. (some col.), digital ;24 cm.
內容註:	1. Observability and Observer for Dynamical Systems -- 2. Background on Differential Geometry -- 3. Observer Normal Form with Output Injection -- 4. Observer Normal Form with Output Injection with Output Diffeomorphism -- 5. Observer Normal Form by Means of Extended Dynamics -- 6. Output-Depending Observer Normal Form -- 7. Extension to Nonlinear Partially Observable Dynamical Systems -- 8. Extension to Nonlinear Dynamical Systems With Multiple Outputs -- 9. Extension to Nonlinear Singular Dynamical Systems.
Contained By:	Springer Nature eBook
標題:	Dynamics. -
電子資源:	https://doi.org/10.1007/978-3-030-73742-9
ISBN:	9783030737429

Observer design for nonlinear dynamical systems = differential geometric methods /
Boutat, Driss.

Observer design for nonlinear dynamical systemsdifferential geometric methods /[electronic resource] :by Driss Boutat, Gang Zheng. - Cham :Springer International Publishing :2021. - xiii, 192 p. :ill. (some col.), digital ;24 cm. - Lecture notes in control and information sciences,v.4870170-8643 ;. - Lecture notes in control and information sciences ;v.487..

1. Observability and Observer for Dynamical Systems -- 2. Background on Differential Geometry -- 3. Observer Normal Form with Output Injection -- 4. Observer Normal Form with Output Injection with Output Diffeomorphism -- 5. Observer Normal Form by Means of Extended Dynamics -- 6. Output-Depending Observer Normal Form -- 7. Extension to Nonlinear Partially Observable Dynamical Systems -- 8. Extension to Nonlinear Dynamical Systems With Multiple Outputs -- 9. Extension to Nonlinear Singular Dynamical Systems.

This book presents a differential geometric method for designing nonlinear observers for multiple types of nonlinear systems, including single and multiple outputs, fully and partially observable systems, and regular and singular dynamical systems. It is an exposition of achievements in nonlinear observer normal forms. The book begins by discussing linear systems, introducing the concept of observability and observer design, and then explains the difficulty of those problems for nonlinear systems. After providing foundational information on the differential geometric method, the text shows how to use the method to address observer design problems. It presents methods for a variety of systems. The authors employ worked examples to illustrate the ideas presented. Observer Design for Nonlinear Dynamical Systems will be of interest to researchers, graduate students, and industrial professionals working with control of mechanical and dynamical systems.

ISBN: 9783030737429

Standard No.: 10.1007/978-3-030-73742-9doiSubjects--Topical Terms:

519830
Dynamics.

LC Class. No.: QA845 / .B688 2021

Dewey Class. No.: 515.39

Observer design for nonlinear dynamical systems = differential geometric methods /
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520 $a This book presents a differential geometric method for designing nonlinear observers for multiple types of nonlinear systems, including single and multiple outputs, fully and partially observable systems, and regular and singular dynamical systems. It is an exposition of achievements in nonlinear observer normal forms. The book begins by discussing linear systems, introducing the concept of observability and observer design, and then explains the difficulty of those problems for nonlinear systems. After providing foundational information on the differential geometric method, the text shows how to use the method to address observer design problems. It presents methods for a variety of systems. The authors employ worked examples to illustrate the ideas presented. Observer Design for Nonlinear Dynamical Systems will be of interest to researchers, graduate students, and industrial professionals working with control of mechanical and dynamical systems.
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