Analysis and Synthesis of Dynamic Systems with Positive Characteristics / by Jun Shen

Von:

Shen, Jun [aut]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Springer Theses, Recognizing Outstanding Ph.D. Research | SpringerLink Bücher | Springer eBook Collection EngineeringVerlag: Singapore : Springer, 2017Beschreibung: Online-Ressource (XXIII, 123 p. 16 illus. in color, online resource)ISBN:

9789811038808

Schlagwörter:

Andere physische Formen: 9789811038792 | Druckausg.: 978-981-10-3879-2 | Printed edition: 9789811038792 MSC: MSC: *93-02 | 93B50LOC-Klassifikation:

TJ210.2-211.495 TJ163.12
TJ210.2-211.495
TJ163.12

DOI: DOI: 10.1007/978-981-10-3880-8Online-Ressourcen:

Zusammenfassung: 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 robotsZusammenfassung: Chapter 1. Introduction -- Chapter 2. Positive Systems with Retarded Delays -- Chapter 3. Positive Systems with Distributed Delays -- Chapter 4. Controller Synthesis of Positive Systems -- Chapter 5. Model Reduction for Discrete-time Positive Systems with Inhomogeneous Initial Conditions -- Chapter 6. Linear Delay Systems with Cone Invariance -- Chapter 7. Positivity and Stability of Coupled Diﬀerential-diﬀerence Equations with Time-varying Delays -- chapter 8. Conclusion and Future WorkPPN: PPN: 1657496368Package identifier: Produktsigel: ZDB-2-ENG

Exemplare ( 0 )

Dieser Titel hat keine Exemplare