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008 170327s2017 si | s |||| 0|eng d
020 _a9789811038808
_9978-981-10-3880-8
024 7 _a10.1007/978-981-10-3880-8
_2doi
050 4 _aTJ212-225
050 4 _aTJ210.2-211.495
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
100 1 _aShen, Jun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_962247
245 1 0 _aAnalysis and Synthesis of Dynamic Systems with Positive Characteristics
_h[electronic resource] /
_cby Jun Shen.
250 _a1st ed. 2017.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2017.
300 _aXXIII, 123 p. 16 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Theses, Recognizing Outstanding Ph.D. Research,
_x2190-5061
505 0 _aChapter 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 Work.
520 _aThis 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.
650 0 _aControl engineering.
_931970
650 0 _aRobotics.
_92393
650 0 _aAutomation.
_92392
650 0 _aArtificial intelligence.
_93407
650 0 _aMultibody systems.
_96018
650 0 _aVibration.
_96645
650 0 _aMechanics, Applied.
_93253
650 1 4 _aControl, Robotics, Automation.
_931971
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aMultibody Systems and Mechanical Vibrations.
_932157
710 2 _aSpringerLink (Online service)
_962248
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811038792
776 0 8 _iPrinted edition:
_z9789811038815
776 0 8 _iPrinted edition:
_z9789811099915
830 0 _aSpringer Theses, Recognizing Outstanding Ph.D. Research,
_x2190-5061
_962249
856 4 0 _uhttps://doi.org/10.1007/978-981-10-3880-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80931
_d80931