An optimal fuzzy PID controller

By Wallace Kit-Sang Tang, K. Man, Guanrong Chen, Sam Kwong. IEEE transactions on industrial electronics (1982. Print), 2001

485 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/509b077c27616f59393517ddae70a95f0db839c1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Gang Feng

In Control and Systems Engineering

1. Gang Feng
2. Shaocheng Tong
3. Peng Shi
4. Huijun Gao
5. Jianbin Qiu
6. Yong-ming Li

Citations in the corpus

• A survey on industrial applications of fuzzy control (2011, unknown): “Other applications are reported in [118,122–128].”
• A Survey on Analysis and Design of Model-Based Fuzzy Control Systems (2006, methodology): “timal fuzzy PID controller based on genetic algorithm [113], [270], realization of conventional PID controllers by fuzzy control method [213], improved robust fuzzy-PID controller with optimal fuzzy reasoning [179], and stability of fuzzy PID con-”
• Design and Implementation of an Optimal Fuzzy Logic Controller Using Genetic Algorithm (2008, methodology): “This has made it difficult if not impossible for designers, engineers and technology experts to design intelligent complex systems, nonlinear systems higher order and time-delayed linear systems that can satisfactorily behave as expected while operating in the human-machine interface([2]).”