Journal ArticleDOI
Fuzzy Inference for Variable Structure Control
TLDR
By using fuzzy inference to determine the switching scheme of the VSC, the original robustness and fast response time of theVSC can be retained while reducing the control chattering.Abstract:
Today's technology requires controls capable of handling highly nonlinear, time-varying, uncertain systems. Variable structure control VSC is one such control method. Variable structure control is invariant to system perturbations and external disturbances; however, a high-frequency control chattering exists that renders the VSC impractical for most applications. Fuzzy inference can be used to reduce the chattering. By using fuzzy inference to determine the switching scheme of the VSC, the original robustness and fast response time of the VSC can be retained while reducing the control chattering. Optimization of the fuzzy parameters using genetic algorithms will also produce a system with improved response time and accuracy.read more
Citations
More filters
Journal ArticleDOI
A highly interpretable form of Sugeno inference systems
TL;DR: This work presents a form of fuzzy inference systems (FISs) that is highly interpretable and easy to manipulate, based on a judicious choice of membership functions that have strong locality and differentiability properties and on a modification of the Sugeno and generalized Sugeno forms of the consequent polynomials to make them rule centered.
Proceedings ArticleDOI
Fuzzy genetic controllers for the autonomous rendezvous and docking problem
TL;DR: Fuzzy logic with its role of human expert and GA being a strong search and optimization algorithm can mimic the human expert’s role and find the method that satisfies all the objectives optimally.
Journal ArticleDOI
Fuzzy controller for robot arm trajectory
TL;DR: A “hybrid” implementation of FLCs and conventional PID controllers that can be helpful in some applications is proposed and applied to a 2 degree of freedom robot arm with promising results.
Journal Article
Variable Structure Rough Neural Network Control for a Class of Non-Linear Systems
TL;DR: A novel rough neural network control system based on the variable structure control developed for a class of SISO canonical nonlinear systems with taking the presence of bounded disturbance into account is presented.
A Highly Interpretable Form of
TL;DR: A new form of fuzzy inference systems (FIS) that is highly interpretable and easy to manipulate is presented, based on a judicious choice of membership functions that have strong locality and differentiability properties and a modification of the Sugeno and generalized Sugeno forms of the consequent polynomials to make them rule centered.
References
More filters
Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book
Adaptation in natural and artificial systems
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Journal ArticleDOI
The concept of a linguistic variable and its application to approximate reasoning—II☆
TL;DR: Much of what constitutes the core of scientific knowledge may be regarded as a reservoir of concepts and techniques which can be drawn upon to construct mathematical models of various types of systems and thereby yield quantitative information concerning their behavior.
Journal ArticleDOI
Fuzzy logic in control systems: fuzzy logic controller. II
TL;DR: The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined and several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated.