Wei Wang

Renmin University of China

Dr. Wei Wang received his Ph.D. degree in control theory and operations research from the Institute of Systems Science, CAS, China, in 1994. He is now a professor at the School of Mathematics, Renmin University of China. As the co-author of the paper “Nonlinear tracking-differentiators,” he and his Ph.D. advisor Professor J.Q. Han won the 1979-2009 Best Paper Award for System Science. He proposed a series of innovative methods, such as “new separation principle of PID control,” “double adjustment mechanism,” and “disturbance stripping principle” for the control of uncertain networked systems and even complex systems. He proposed the estimation methods for the time-invariant and time-varying parameters of nonlinear systems and the adjustment method on the adaptability of the time series model based on uncertain system control theory. He also proposed the new strategy on the reconstruction or prediction for observations or signals with uncertain dynamics based on Taylor’s formula and the theory of tracking-differentiators. Combining this strategy with the self-interaction characteristics of polymers, he proposed a personal growth model based on the dialectical relationship between internal and external factors, and the spatial-temporal model for the evolution of social systems based on the theory of fractal geometry and diffusion processes. He published more than 100 papers and 2 books.

1books edited

2chapters authored

Latest work with IntechOpen by Wei Wang

With numerous new opportunities and challenges emerging from the topic of the cognition and control of complex systems, the methods related to PID control, or control based on a PID framework, will continue to grow and expand. This book covers some of the recent results that include improvements to the PID controller. Some examples of these improvements are as follows:
•The novelty method of the variable, fractional-order PID controller
•The optimization of PID controller, such as the hybrid LQR-PID controller by using genetic algorithm (GA) with the application for the control of helicopter systems
•The optimized tuning approach of PID controller with disturbance rejection
•A controller adjustment method based on the internal product of PID terms
•The PI-PD controller, incorporated with the model-based feedforward control (FF) and the disturbance compensator (Kz), which is used for the control of magnetic levitation systems
•The proper control with PID framework used to improve the cognition or identification for complex systems

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