Open access peer-reviewed Edited Volume

Advance Innovation and Expansion of PID Controllers

Wei Wang

Renmin University of China

Proposed the new separation principle for the synthesis of PID controllers, the double-regulation control mechanism for more general uncertain control systems, the stripping principle and optimal method for uncertain networked control systems and even complex systems, finally the new strategy on the reconstruction or prediction for observations of signals with uncertain dynamics.

Covering

Tuning Method Tuning Rule Intelligent or Neural Method Fuzzy Efficiency Robustness New Analytical Form IPID Multi-Objective Design ADRC Advanced Learning Complex System

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About the book

Because of its simple structure and robustness with the uncertainties or disturbances, PID control is still a popular control technology, which has been widely used in many of industrial processes. On the other hand, from the viewpoint of philosophy, PID control is the embodiment of the control thought that is based on the information of present (P), past (I) and future (D) to decide the control input, which is exactly the representation of human beings’ wisdom, idea and method to solve problems.

It is just based on the popularity of PID control that many publishers already offer a lot of content concerning this topic, however, with the development of science and technology, such as, big data, artificial intelligence, machine learning, new possibilities appear for improving the performance of PID control. Also, there are new fields that need to be controlled with powerful control technology, for example, biological engineering, medical technology, financial technology, and there are even applications for social management among others. Therefore, PID control will continue to face new opportunities and challenges and this book will highlight new aspects on this subject and its related applications.

The main topics will include the improvement of PID controller, intelligent PID controller, optimization of PID controller, new forms of PID controller, development of PID controller, new application fields, etc. We intend to not only make a summary on the advance of science and technology on PID control, but also to extend the connotation and extension of it. We would like to attract more scholars to take part in the project, and bring more inspiration or benefits to the new fellows.

Publishing process

Book initiated and editor appointed

Date completed: July 7th 2020

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: September 26th 2020

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: December 15th 2020

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: February 13th 2021

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Wei Wang

Renmin University of China

Wei Wang received his BS and MS degrees in mathematics from Henan University, Kaifeng-Henan-China and Northwest University, Xi’an-Shannxi-China in 1985 and 1988, respectively. He received his Ph.D. degree in control theory and operations research from the Institute of Systems Science, Chinese Academy of Sciences in 1994. From 1994 to 1996, he was a post-doctoral fellow at the Institute of Transportation Automation, Beijing Jiaotong University, Beijing, China. Since 2004, he has joined the Department of Mathematics, Information School, Renmin University of China (RUC), Beijing, China. As a visiting scholar, he was with the Department of Mathematics at the University of Georgia, Athens, Georgia, USA for six months from September 2008 to March 2009. He is also the research fellow of the National Survey Research Center at RUC, and the Laboratory of Social and Economical Systems, RUC, China. As the coauthor of the paper "Nonlinear tracking-differentiators", because of the contribution made there for the first time concerning the proposition of general forms of nonlinear tracking-differentiators (TDs) and for the establishment of the theory for TDs so that a difficult problem can be solved for obtaining the proper signals and their differential signals from the signals which contain noise or are non-differentiable, he and his PhD. advisor Prof. Han Jingqing won the prize of the first 10 best papers in systems science for 30 years, in which the papers are selected from the published ones by the Journal of Systems Science and Mathematical Sciences and the Journal of Systems Science and Complexity from 1979 to 2009. He proposed the new separation principle for the synthesis of PID controllers, the double-regulation control mechanism for more general uncertain control systems. He also proposed the stripping principle and optimal method for uncertain networked control systems and even complex systems. Based on the Taylor’s formula and the theory of tracking-differentiators, he also proposed the new strategy on the reconstruction or prediction for observations of signals with uncertain dynamics. He published more than 100 papers and two books, and most of the papers are carried out by himself. His research interest includes the theory and applications of nonlinear control systems, networked control systems, and the analysis and synthesis of complex distributed systems. He also has the interest on the estimation and prediction of nonlinear systems with uncertainties, the improvement of adaptability for time series models, the analysis and modeling of social and economical systems based on the stochastic systems theory, advanced machine learning, etc.

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