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Enhancing Monitoring Performance of Pharmaceutical Processes Using Dual-Attention Latent Dynamic Conditional State-Space Model.

, and . ASCC, page 227-232. IEEE, (2022)

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Simultaneous data reconciliation and gross error detection for dynamic systems using particle filter and measurement test., and . Comput. Chem. Eng., (2014)Fault Detection Based on Variational Autoencoders for Complex Nonlinear Processes., , and . ASCC, page 1352-1357. IEEE, (2019)Enhancing Monitoring Performance of Pharmaceutical Processes Using Dual-Attention Latent Dynamic Conditional State-Space Model., and . ASCC, page 227-232. IEEE, (2022)Diagnosis of Nonlinearity-induced Oscillations in Process Control Loops Based on Adaptive Chirp Mode Decomposition., , , , , and . ACC, page 2772-2777. IEEE, (2020)Assessment and diagnosis of feedforward/feedback control system., and . ACC, page 490-495vol.1. IEEE, (2005)Performance assessment for non-Gaussian systems by minimum entropy control and dynamic data reconciliation., , , , and . J. Frankl. Inst., 359 (8): 3930-3950 (2022)Prognostics of tool failing behavior based on autoassociative Gaussian process regression for semiconductor manufacturing., , and . ICIT, page 316-321. IEEE, (2020)Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives., , , , and . CoRR, (2024)A new excitation scheme for closed-loop subspace identification using additional sampling outputs and its extension to instrumental variable method., , and . J. Frankl. Inst., 355 (14): 6675-6692 (2018)Functional Soft Sensor Based on Spectra Data for Predicting Multiple Quality Variables., , , and . IEEE Access, (2020)