Journal ArticleDOI
VLSI Hardware Realization of Self-Learning Recursive Fuzzy Model for Dynamic Systems
M.F. Scheffer,I.S. Shaw +1 more
TLDR
A hardware realization of a self-learning fuzzy logic controller, based upon a unique probability theory approach to fuzzy identification and estimation, is presented, chosen because of an inherent filtering operation making it highly immune to noise.About:
This article is published in IFAC Proceedings Volumes.The article was published on 1993-07-01. It has received 7 citations till now. The article focuses on the topics: Fuzzy electronics & Fuzzy number.read more
Citations
More filters
Journal ArticleDOI
Computational intelligence in management of ATM networks
TL;DR: The current state of ATM network management research employing artificial neural networks, fuzzy systems and design methods based on evolutionary computation as reported in the technical literature is summarized.
Proceedings ArticleDOI
Fuzzy adaptive traffic enforcement for ATM networks
M.F. Scheffer,J.S. Kunicki +1 more
TL;DR: This paper presents a fuzzy logic CAC (connection admission control) and traffic policing method intended for the modelling and management of ATM networks.
Proceedings ArticleDOI
Fuzzy modeling and prediction of network traffic fluctuations
TL;DR: A fuzzy logic self-learning model and adaptive predictor of traffic now is presented, and the results of an application of this predictor on real world telephone links, are shown, and are compared to applications of a math-model and a Kalman-filter predictor.
Fuzzy logic control techniques and structures for Asynchronous Transfer Mode (ATM) based multimedia networks
TL;DR: The research presented in this thesis aims to demonstrate that fuzzy logic is a useful tool for developing mechanisms for controlling traffic flows in ATM based multimedia networks to maintain quality of service (QoS) requirements and maximize resource utilization.
References
More filters
Journal ArticleDOI
Fuzzy Model Identification and Self-Learning for Dynamic Systems
Chen-Wei Xu,Yong-Zai Lu +1 more
TL;DR: The required computer capacity and time for implementing the proposed algorithms and related resulting models are-significantly reduced by introducing the concept of the "referential fuzzy sets."
Journal ArticleDOI
Probabilistic fuzzy model for dynamic systems
TL;DR: A model, based on a fuzzy relation obtained from fuzzy referential sets on the input and output spaces, for predicting the behaviour of nonlinear dynamic systems is presented.
Journal ArticleDOI
New fuzzy learning model with recursive estimation for dynamic systems
I. S. Shaw,J. J. Krüger +1 more
TL;DR: A systematic design technique for a discrete-time self-learning fuzzy model, based on fuzzy relational equations, is presented with some novel features, and is shown to be a fuzzy automaton.
Journal ArticleDOI
Empirical comparison of methods of fuzzy relational identification
TL;DR: In this paper, a number of methods have been proposed for the identification and self learning of relational fuzzy models and the results show that identified relational models can give as good results as rule-based models and can be made to be very tolerant of noise in the identification data.
Journal ArticleDOI
New approach to fuzzy learning in dynamic systems
I.S. Shaw,J.J. Kruger +1 more
TL;DR: A new fuzzy method is defined called priming, which is a process of inducing a specified dynamic behaviour in a fuzzy system model by means of an external function.
Related Papers (5)
Application Using VLSI Hardware Realization of Self–Learning Recursive Fuzzy Model
M.F. Scheffer,I.S. Shaw +1 more