Results 241 to 250 of about 354,888 (300)
Some of the next articles are maybe not open access.
Microelectronics Journal, 1995
Fuzzy logic is increasingly being incorporated in systems to provide robust and effective control in a wide range of applications. The method is based on a many-valued logic which enables general principles and expert knowledge to be used to provide control rules and procedures.
openaire +2 more sources
Fuzzy logic is increasingly being incorporated in systems to provide robust and effective control in a wide range of applications. The method is based on a many-valued logic which enables general principles and expert knowledge to be used to provide control rules and procedures.
openaire +2 more sources
Fuzzy Logic System-Based Robust Adaptive Control of AUV with Target Tracking
International Journal of Fuzzy Systems, 2022Xia Wang, Bo Xu, Yuyan Guo
semanticscholar +1 more source
A Fuzzy Tuner for Fuzzy Logic Controllers
1992 American Control Conference, 1992A two-level fuzzy tuning scheme is presented in this paper. The fuzzy tuner in the upper level is used to design the membership functions of the fuzzy logic controller in the lower level. The scheme provides an effective means for obtaining a good performance of the controller in a short time with a low computational burden.
Zhen-Yu Zhao +2 more
openaire +1 more source
Vague controller: A generalization of fuzzy logic controller
International Journal of Systems Science, 1999In this research, a vague controller (VC) is synthesized by using the notion of vague sets, which are a generalization of fuzzy sets and characterized by a truth-membership function and a falsity-membership function. The vague sets follow the basic set operations and logic operations defined for fuzzy sets, and are superior to fuzzy sets in that they ...
Cheng-Liang Chen, Chung-Tyan Hsieh
openaire +1 more source
2000
The fuzzy set notion enables us to define the progressive membership of an element to a class, that is to say it belongs to this class more or less strongly. The membership of an object in a class defines a degree of membership given between 0 and 1.
Mohand Mokhtari, Michel Marie
openaire +1 more source
The fuzzy set notion enables us to define the progressive membership of an element to a class, that is to say it belongs to this class more or less strongly. The membership of an object in a class defines a degree of membership given between 0 and 1.
Mohand Mokhtari, Michel Marie
openaire +1 more source
Design of a fuzzy logic controller as a suction controller
Fuzzy Sets and Systems, 1997Abstract A fuzzy logic controller (FLC) designed as a suction controller is proposed. Firstly, we prove that there exists a switching line in the FLC, and the slope of the switching line is determined by scaling factors. Secondly, a Lyapunov function is selected and sufficient conditions for the fuzzy control system (FCS) to be globally ...
Tsu-Tian Lee, Kuo-Yang Tu, Wen-Jieh Wang
openaire +1 more source
Hardware implementation of fuzzy logic controller
2005 12th IEEE International Conference on Electronics, Circuits and Systems, 2005Fuzzy logic controllers are generally implemented on microprocessors which offer a smooth design surface. The purpose of this article is the implementation of a fuzzy logic controller on a field programmable gate array. The use of field programmable gate array gives the designers the possibility to implement a wide variety of applications, test them ...
Abdelkrim Hedi +2 more
openaire +1 more source
1999
Tutorials - an overview of fuzzy modelling and model-based fuzzy control, R. Babuska fuzzy control - from heuristic PID to optimization-based nonlinear control, K.-E. Arzen and M. Johansson surveys on advanced methodologies - neuro-fuzzy methods, D. Nauck complexity reduction methods for fuzzy systems design, M.
Henk B Verbruggen, Robert Babuška
openaire +1 more source
Tutorials - an overview of fuzzy modelling and model-based fuzzy control, R. Babuska fuzzy control - from heuristic PID to optimization-based nonlinear control, K.-E. Arzen and M. Johansson surveys on advanced methodologies - neuro-fuzzy methods, D. Nauck complexity reduction methods for fuzzy systems design, M.
Henk B Verbruggen, Robert Babuška
openaire +1 more source
1989
In this chapter we review previous results in the effort to incorporate approximate reasoning into the control of physical processes. In particular, we wish to review the research in fuzzy logic control and show how the research presented here is a logical extension of that work.
openaire +1 more source
In this chapter we review previous results in the effort to incorporate approximate reasoning into the control of physical processes. In particular, we wish to review the research in fuzzy logic control and show how the research presented here is a logical extension of that work.
openaire +1 more source
1992
Fuzzy Set Theory, introduced by Zadeh in 1965 [77], has been the subject of much controversy and debate. In recent years, it has found many applications in a variety of fields. Among the most successful applications of this theory has been the area of Fuzzy Logic Control (FLC) initiated by the work of Mamdani and Assilian [36]. FLC has had considerable
openaire +1 more source
Fuzzy Set Theory, introduced by Zadeh in 1965 [77], has been the subject of much controversy and debate. In recent years, it has found many applications in a variety of fields. Among the most successful applications of this theory has been the area of Fuzzy Logic Control (FLC) initiated by the work of Mamdani and Assilian [36]. FLC has had considerable
openaire +1 more source