Jun Shen – författare
Big Data and Artificial Intelligence
13th International Conference, BDA 2025, Bangalore, India, July 17–20, 2025, Proceedings
809 kr
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1 000 kr
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1 091 kr
Skickas inom 10-15 vardagar
1 416 kr
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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 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.
1 091 kr
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Adaptive Micro Learning - Using Fragmented Time To Learn
1 156 kr
Skickas inom 5-8 vardagar
Multispectral Image Processing And Pattern Recognition
1 214 kr
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