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Case study confirms that, on the basis of the proposed model and recursive algorithms, the dynamic and static characteristics of soft sensor system can be described efficiently, and the primary variables are ensured to be estimated accurately. His research interest includes model predictive control, multirate soft sensor and control in chemical industry, online real-time optimization of chemical process, simultaneous process and control design, the bypass optimal control of heat exchanger networks, and margin analysis based on dynamic model.

Soft sensor technology is an important means to estimate important process variables in real-time.

Modeling for soft sensor system is the core of this technology.

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