Meet the editor

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.

Contents

*by Piotr Ostalczyk and Piotr Duch*

*by Damir Vrančić and Mikuláš Huba*

in the Plant Model in Terms of Internal Product

*by José Pinheiro de Moura and João Viana da Fonseca Neto*

with LQR Optimal Control *by Ibrahim K. Mohammed*

System

PID Control Method

*by Jinping Feng and Wei Wang*

**Preface XI**

**Chapter 1 1**

**Chapter 2 17**

**Chapter 3 43**

**Chapter 4 67**

**Chapter 5 87**

**Chapter 6 113**

Variable, Fractional-Order PID Controller Synthesis Novelty Method

A Hybrid Control Approach Based on the Combination of PID Control

Improving Disturbance-Rejection by Using Disturbance Estimator

Adjustment of the PID Gains Vector Due to Parametric Variations

Enhanced Nonlinear PID Controller for Positioning Control of Maglev

Multi-Parameter Estimation of Uncertain Systems Based on the Extended

*by Shin-Horng Chong, Roong-Soon Allan Chan and Norhaslinda Hasim*
