Auteur Biao Huang
Documents disponibles écrits par cet auteur (7)
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Article : texte imprimé
Khatibisepehr Shima, Auteur ; Biao Huang, Auteur |The main challenge in developing soft sensors in process industry is the existence of irregularity of data, such as measurement noises, outliers, and missing data. This paper is concerned with a comparative study among various data-driven soft s[...]
Article : texte imprimé
Fei Qi, Auteur ; Biao Huang, Auteur |In this article, first, a hidden Markov model is built to address the temporal mode dependency problem in control loop diagnosis. A data-driven algorithm is developed to estimate the mode transition probability. The new solution to mode dependen[...]
Article : texte imprimé
Ruben Gonzalez, Auteur ; Biao Huang, Auteur ; Fangwei Xu, Auteur |Imprecision of sensors is one of the main causes of poor control and process performance. Often, instrument measurement bias and variance change over the time and online calibration/re-estimation is necessary. Originated from a real industrial a[...]
Article : texte imprimé
Seyi Akande, Auteur ; Biao Huang, Auteur ; Kwan Ho Lee, Auteur |Model predictive control (MPC) is one of the most studied modern control technologies. Among the various subjects investigated, controller performance assessment of MPC has received considerable attention in recent time. Various approaches and a[...]
Article : texte imprimé
Nima Danesh Pour, Auteur ; Biao Huang, Auteur ; Sirish L. Shah, Auteur |We investigate direct estimation of step-response models from closed-loop data using subspace identification. Necessary information concerning impulse-response coefficients is embedded in subspace matrices. Therefore, the step-response coefficie[...]
Article : texte imprimé
Yuri A. W. Shardt, Auteur ; Biao Huang, Auteur |The difficulty in measuring certain types of process variables rapidly has encouraged the use of soft sensors, which can determine the values of difficult to measure process variables based on easily available secondary process variables. A bias[...]
Article : texte imprimé
Yuri A. W. Shardt, Auteur ; Biao Huang, Auteur |The difficulty in measuring certain types of process variables rapidly has encouraged the use of soft sensors, which can determine the values of difficult to measure process variables based on easily available secondary process variables. A bias[...]
