Technical papers: [1] Zhu, Y.C., Telkamp, H., Wang, J., Fu, Q. (2009).System Identification using slow and irregular output samples. Journal of Process Control, Volume 19, No. 1, pp 58-67.
[2] Yan W.G., Y.C. Zhu, L.Y. Zhu and X. Liu (2018). Identification of systems with slowly sampled outputs using LPV model. Computers and Chemical Engineering, Vol. 112, pp. 316–330.
Tai-Ji Soft Sensor® is a system identification-based soft sensor with offline modeling and online prediction. In process industries, key parameters like composition and concentration often rely on lab analysis with significant delays. Tai-Ji Soft Sensor® enables real-time estimation and dynamic prediction of these variables at lower cost, supporting APC and RTO applications.
Unlike traditional steady-state methods, it employs dynamic modeling incorporating time-delay information and dynamic characteristics.
