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.
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Previous degrees2011.9-2015.8 The University of Hong Kong, Department of Mechanical Engineering, PhDSupervisor: Prof. James Lam2008.9-2011.4 Southeast University, Department of Mathematics, MasterSupervisor: Prof. Jinde Cao2004.9-2008.7 Southeast University, Department of Mathematics, Bachelor
AwardsUniversity Postgraduate Fellowship, 2011, HKUMechanical Engineering Outstanding Research Postgraduate Student, 2014, HKUOutstanding Research Postgraduate Student, 2016, HKU
PublicationsJournal Papers[1] Jun Shen, James Lam. Some extensions on the bounded real lemma for positive systems. IEEE Transactions on Automatic Control, 2015, DOI: 10.1109/TAC.2016.2606426.[2] Jun Shen, James Lam. On the decay rate of discrete-time linear systems with cone invariance. IEEE Transactions on Automatic Control, 2015, DOI: 10.1109/TAC.2016.2610104.[3] Jun Shen, James Lam. Input-output gain analysis for linear systems on cones. Automatica. Accepted for publication.[4] Jun Shen, James Lam. Stability and performance analysis for positive fractional-order systems with time-varying delays. IEEE Transactions on Automatic Control, 2016, 61(9), 2676-2681.[5] Jun Shen, James Lam. Static output-feedback stabilization with optimal L1-gain for positive linear systems. Automatica, 63: 248-253, 2016.[6] Jun Shen, Wei Xing Zheng. Positivity and stability of coupled differential-difference equations with time-varying delays. Automatica, 57: 123-127, 2015.[7] Jun Shen, Wei Xing Zheng. Stability analysis of linear delay systems with cone invariance. Automatica, 53: 30-36, 2015.[8] Jun Shen, James Lam. Improved results on H∞ model reduction for continuous-time linear systems over finite frequency ranges. Automatica, 53: 79-84, 2015.[9] Jun Shen, James Lam. On static output-feedback stabilization for multi-input multi-output positive systems. International Journal of Robust and Nonlinear Control, 25(16): 3154-3162, 2015.[10] Jun Shen, James Lam. Containment control of multi-agent systems with unbounded communication delays. To appear in International Journal of Systems Science, 2014. DOI: 10.1080/00207721.2014.971092.[11] Jun Shen, James Lam. ℓ∞/L∞-gain analysis for positive linear systems with unbounded time-varying delays. IEEE Transactions on Automatic Control, 60 (3), 857-862, 2015.[12] Jun Shen, James Lam. Non-existence of finite-time stable equilibria in fractional-order nonlinear systems. Automatica, 50(2): 547-551, 2014.[13] Jun Shen, James Lam. L∞-gain analysis for positive systems with distributed delays. Automatica, 50(1): 175-179, 2014.[14] Jun Shen, James Lam. H∞ model reduction for discrete-time positive systems with inhomogeneous initial conditions. International Journalof Robust and Nonlinear Control, 25 (1): 88-102, 2015.[15] Jun Shen, James Lam. On ℓ∞ and L∞ gains for positive systems with bounded time-varying delays. International Journal of Systems Science, 46(11): 1953-1960, 2015.[16] Jun Shen, James Lam. H∞ model reduction for positive fractional order systems. Asian Journal of Control, 16(2): 441-450, 2014.[17] Jun Shen, James Lam. State feedback H∞ control of commensurate fractional-order systems. International Journal of Systems Science, 45(3): 363-372, 2014.
Book Chapter[B1] Jianquan Lu, Jun Shen, Jinde Cao, and Jürgen Kurths. Consensus of networked multi-agent systems with delays and fractional-order dynamics, in "Consensus and Synchronization in Complex Networks", 69-110, Berlin: Springer-Verlag, 2013.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 123 pp. Englisch. N° de réf. du vendeur 9789811099915
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nominated by the University of Hong Kong as an outstanding thesis in the fieldPresents precise characterizations for gain performances of positive systemsOffers effective numerical methods for positive system synthesisPrevious degrees. N° de réf. du vendeur 458822271
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9789811099915
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