APPLICATION OF GEOMETRIC ALGORITHMS IN CYBER-PHYSICAL SYSTEMS: ENHANCING DESIGN, CONTROL, AND SIMULATION

dc.contributor.authorYusubjonov Jonibek Farkhod ugli
dc.date.accessioned2025-12-30T08:53:16Z
dc.date.issued2025-07-31
dc.description.abstractCyber-physical systems (CPS) integrate computational algorithms, sensors, and physical processes to achieve real-time monitoring, control, and optimization. Geometric algorithms play a pivotal role in these systems, enabling spatial reasoning, path planning, sensor fusion, and structural analysis. This study investigates the application of geometric algorithms in CPS, focusing on design, simulation, and control processes. Using the IMRaD structure, the research combines literature review, case studies of CPS implementations, and algorithmic modeling experiments. Results demonstrate that geometric algorithms improve system accuracy, efficiency, and predictive capability, supporting autonomous operation, real-time decision-making, and process optimization. The discussion examines methodological approaches, computational challenges, and integration with sensor and control frameworks. The conclusion emphasizes the critical role of geometric algorithms in enhancing the functionality, reliability, and innovation potential of cyber-physical systems.
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dc.identifier.urihttps://ecomindspress.com/index.php/ger/article/view/169
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/27972
dc.language.isoeng
dc.publisherEcominds Press
dc.relationhttps://ecomindspress.com/index.php/ger/article/view/169/186
dc.sourceGlobal Economic Review: Journal of Economics, Policy, and Business Development; Vol. 1 No. 7 (2025): GER; 49-52
dc.source2980-5287
dc.subjectGeometric Algorithms, Cyber-Physical Systems, Simulation, Control, Path Planning, Sensor Fusion, Optimization, Autonomous Systems.
dc.titleAPPLICATION OF GEOMETRIC ALGORITHMS IN CYBER-PHYSICAL SYSTEMS: ENHANCING DESIGN, CONTROL, AND SIMULATION
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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