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This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework a
Dynamic Mode Decomposition
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Data-driven dynamical systems is a burgeoning field?it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-est
Dynamic Data Driven Applications Systems
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This book constitutes the refereed proceedings of the Third International Conference on Dynamic Data Driven Application Systems, DDDAS 2020, held in Boston, MA,
Process Monitoring and Fault Diagnosis Based on Multivariable Statistical Analysis
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Nonstationary Systems: Theory and Applications
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This book offers an overview of current and recent methods for the analysis of the nonstationary processes, focusing on cyclostationary systems that are ubiquit