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Record Nr. |
UNINA9910254340203321 |
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Autore |
Shen Jun |
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Titolo |
Analysis and Synthesis of Dynamic Systems with Positive Characteristics / / by Jun Shen |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XXIII, 123 p. 16 illus. in color.) |
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Collana |
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Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053 |
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Disciplina |
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Soggetti |
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Automatic control |
Robotics |
Mechatronics |
Artificial intelligence |
Vibration |
Dynamics |
Control, Robotics, Mechatronics |
Artificial Intelligence |
Vibration, Dynamical Systems, Control |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"Doctoral thesis accepted by The University of Hong Kong, Hong Kong." |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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 Work. |
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Sommario/riassunto |
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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 |
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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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