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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
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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
Data-Driven Fault Detection for Industrial Processes
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Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes. With the ever increasing demands on reliability an
Computational Science — ICCS 2004
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The International Conference on Computational Science (ICCS 2004) held in Krak ́ ow, Poland, June 6–9, 2004, was a follow-up to the highly successful ICCS 20
Dynamic Modeling, Predictive Control and Performance Monitoring
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A typical design procedure for model predictive control or control performance monitoring consists of: 1. identification of a parametric or nonparametric model;