Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 6 of 6 for “"Data-Driven System"”.
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Data-driven System Design in Service Operations
… in the world's economy. Simultaneously, the data collected from service systems has grown rapidly in both size and complexity due to the rapid spread of information technology, providing new opportunities and challenges for operations management researchers. This dissertation aims to explore …
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Data-driven system identification of strongly nonlinear modal interactions and model updating of nonlinear dynamical systems
… models of the dynamics of nonlinear dynamical systems; the reason is that, typically, nonlinearities introduce new dynamical phenomena that have no counterparts in linear settings. This dissertation focuses on a recently developed, data-driven nonlinear system identification and reduced-order …
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Digital control system programming from process control diagrams
… a block diagram describing the required control system, from a menu of functional blocks, using a graphics software system with graphics terminal. Additions may be made to the menu of functional blocks, to extend the system capability, and a group of blocks may be defined as a composite block. …
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Mathematical modeling and sparse identification of delay-driven dynamical systems with applications to gene regulatory networks
Delay-driven dynamics arise naturally in many biological and physical systems, where finite processing times, transport effects, and memory mechanisms significantly influence system behavior. Although such delays are often not directly observable, they play a critical role in determining stability, …
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Model Reduction of Power Networks
… consumers. These complex and usually large-scale systems have high dimensional models that are computationally expensive to simulate especially in real time applications, stability analysis, and control design. Model order reduction (MOR) tackles this issue by approximating these high dimensional …
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Machine learning for urban intelligence: Building predictive smart cities [Apprendimento automatico per l’intelligenza urbana: Costruire città intelligenti predittive]
Negli ultimi anni, la rapida diffusione di reti di sensori, dispositivi IoT e infrastrutture connesse ha trasformato le città in ecosistemi complessi e ricchi di dati. Questa crescita esponenziale nella generazione di informazioni ha posto le basi per il concetto di smart city, un ambiente …