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Based on a validated mechanistic model, the least squares (LS) algorithm is used to identify the finite step response (FSR) process model adapted in the controller. The two-layer predictive control method achieves the steady-state optimal setpoints and resolves the multivariable dynamic control problems synchronously. Simulation results show that the two-layer predictive control strategy leads to a significant improvement of control performance in terms of the optimal set-points tracking and disturbances rejection, as compared to conventional PID controller within a multiloop framework.<\/jats:p>","DOI":"10.1155\/2013\/587841","type":"journal-article","created":{"date-parts":[[2013,10,11]],"date-time":"2013-10-11T12:28:21Z","timestamp":1381494501000},"page":"1-14","source":"Crossref","is-referenced-by-count":5,"title":["Two-Layer Predictive Control of a Continuous Biodiesel Transesterification Reactor"],"prefix":"10.1155","volume":"2013","author":[{"given":"Hongyan","family":"Shi","sequence":"first","affiliation":[{"name":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China"},{"name":"College of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, 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