Zhanguo. Wang

Work place: Beijing Technology and Business University/College of Computer and Information Engineering, Beijing, China

E-mail: wzg@th.btbu.edu.cn

Website:

Research Interests: Computational Learning Theory, Solid Modeling, Process Control System, Data Structures and Algorithms

Biography

Zhanguo. Wang, received the MSc degree in control theory and control engineering in 2002 from Beijing Technology and Business University. He is a associate professor at the BTBU. His main research interests are system modeling and control and machine learning. 

Author Articles
A Modified T-S Model Fuzzy Adaptive Control System Based on Genetic Algorithm

By Xiaofeng. Lian Zaiwen. Liu Zhanguo. Wang

DOI: https://doi.org/10.5815/ijitcs.2011.03.02, Pub. Date: 8 Jun. 2011

According to the characteristics of the nonlinear,long time-delays and time-variation in the MSG wastewater treatment system based on three-phase fluidized bed bioreactor(FBBR),amodified T-S model fuzzy adaptive control system based on genetic algorithm(GA)is presented in this paper.In the system,firstly using GA to optimize the membership functions,then reducing the dimension of fuzzy controller and simplifying the rules by an integral unit. Moreover, adopt a prediction method to compensate the time-delay of system, which based on the theory of fuzzy. Finally, the method is verified by experiments.Simulation experimental results show that the method is feasible and effective, which provides an effective approach to solve the problem of process control with long time-delays,large inertia and time-variation.

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