✦ LIBER ✦

Chaos in Iterated Fuzzy Systems

✍ Scribed by P. Diamond

Publisher: Elsevier Science
Year: 1994
Tongue: English
Weight: 481 KB
Volume: 184
Category: Article
ISSN: 0022-247X
DOI: 10.1006/jmaa.1994.1216

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Porosity in Conformal Infinite Iterated

Porosity in Conformal Infinite Iterated Function Systems

✍ Mariusz Urbański 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 212 KB

In this paper we deal with the problem of porosity of limit sets of conformal (infinite) iterated function systems. We provide a necessary and sufficient condition for the limit sets of these systems to be porous. We pay special attention to the systems generated by continued fractions with restrict

Decentralized adaptive fuzzy neural iter

Decentralized adaptive fuzzy neural iterative learning control for nonaffine nonlinear interconnected systems

✍ Ying-Chung Wang; Chiang-Ju Chien 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 260 KB 👁 2 views

## Abstract In this paper, we study the design of iterative learning controllers for nonaffine nonlinear interconnected systems with repeatable control tasks. The interaction between each subsystem can be a general type of unknown nonlinear function if a bounding condition is satisfied. An error mo

Chaos in Biological Control Systems

✍ Liebe F. Cavalieri; Huseyin Koçak 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 437 KB

It has been known for some time that the population densities of insect pests in nature show wide fluctuations over time, but whether these fluctuations represent chaotic dynamics or are the result of environmental noise superimposed on steady cycles remains open to question. We have carried out a t

Controlling chaos in a nonlinear fiber r

Controlling chaos in a nonlinear fiber ring resonator using fuzzy logic

✍ Rubens Viana Ramos; Rui Fragassi Souza 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 111 KB

An algorithm, based on fuzzy logic, for controlling chaos in a nonlinear fiber ring resonator is presented. The main ad¨antage of using fuzzy logic is the a¨oidance of knowing the nonlinear differential equation that models the resonator. The algorithm is described, simulations are performed, and th

Genetic fuzzy systems to evolve interact

Genetic fuzzy systems to evolve interaction strategies in multiagent systems

✍ Igor Walter; Fernando Gomide 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 276 KB

This article suggests an evolutionary approach to designing interaction strategies for multiagent systems, focusing on strategies modeled as fuzzy rule-based systems. The aim is to learn models evolving database and rule bases to improve agent performance when playing in a competitive environment. I

Reversals of chaos in biological control

Reversals of chaos in biological control systems

✍ J.L. González-Andújar; J.N. Perry 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 210 KB

Cavalieri & Koc¸ak (1994) presented a non-spatial theoretical model of the dynamics of European corn borer (ECB) populations that included the effects of biological control agents. They showed that certain combinations of parameters could generate chaotic dynamics in the population. Recently, other