Analysis and Synthesis of Dynamic Systems with Positive Characteristics

This thesis develops several systematic and unified approaches for analyzing dynamic systems with positive characteristics or a more general cone invariance property. Based on these analysis results, it uses linear programming tools to address static output feedback synthesis problems with a focus o...

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Detaylı Bibliyografya
Yazar: Shen, Jun (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Seri Bilgileri:Springer Theses, Recognizing Outstanding Ph.D. Research,
Konular:
Control engineering.
Robotics.
Automation.
Artificial intelligence.
Multibody systems.
Vibration.
Mechanics, Applied.
Control, Robotics, Automation.
Artificial Intelligence.
Multibody Systems and Mechanical Vibrations.
Online Erişim:Full-text access
Diğer Bilgiler
Özet:This thesis develops several systematic and unified approaches for analyzing dynamic systems with positive characteristics or a more general cone invariance property. Based on these analysis results, it uses linear programming tools to address static output feedback synthesis problems with a focus on optimal gain performances. Owing to their low computational complexity, the established controller design algorithms are applicable for large-scale systems. The theory and control strategies developed will not only be useful in handling large-scale positive delay systems with improved solvability and at lower cost, but also further our understanding of the system characteristics in other related areas, such as distributed coordination of networked multi-agent systems, formation control of multiple robots.
Fiziksel Özellikler:XXIII, 123 p. 16 illus. in color. online resource.
ISBN:9789811038808
ISSN:2190-5061
DOI:10.1007/978-981-10-3880-8

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