Tao Zheng

Hefei University of TechnologyChina

Dr. Tao ZHENG was born in Chongqing, China, in1981. In 2003 and 2008, he received his B.E. degree and Ph. D. degree from University of Science and Technology of China, both in Automatic Control. He was awarded the President’s Excellent Prize of Chinese Academy of Sciences in 2008. He is currently at the Department of Automation, Hefei University of Technology, China. Dr. ZHENG’s recent interests are in Advanced Model Predictive Control (including Nonlinear Model Predictive Control and Multi-objective Model Predictive Control), Multi-objective Optimization and Multi-objective Genetic Algorithm. He is also interested in the application of optimization theory in economic field, such as the optimization problem in currency-circulation system.

3books edited

1chapters authored

Latest work with IntechOpen by Tao Zheng

Model Predictive Control (MPC) usually refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance, but it is can also be seen as a term denoting a natural control strategy that matches the human thought form most closely. Half a century after its birth, it has been widely accepted in many engineering fields and has brought much benefit to us. The purpose of the book is to show the recent advancements of MPC to the readers, both in theory and in engineering. The idea was to offer guidance to researchers and engineers who are interested in the frontiers of MPC. The examples provided in the first part of this exciting collection will help you comprehend some typical boundaries in theoretical research of MPC. In the second part of the book, some excellent applications of MPC in modern engineering field are presented. With the rapid development of modeling and computational technology, we believe that MPC will remain as energetic in the future.

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