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) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields. As the guide for researchers and engineers all over the world concerned with the latest developments of MPC, the purpose of "Advanced Model Predictive Control" is to show the readers the recent achievements in this area. The first part of this exciting book will help you comprehend the frontiers in theoretical research of MPC, such as Fast MPC, Nonlinear MPC, Distributed MPC, Multi-Dimensional MPC and Fuzzy-Neural MPC. In the second part, several excellent applications of MPC in modern industry are proposed and efficient commercial software for MPC is introduced. Because of its special industrial origin, we believe that MPC will remain energetic in the future.

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