𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Genetic algorithms based fuzzy controller for high order systems

✍ Scribed by X.M. Qi; T.C. Chin


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
389 KB
Volume
91
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.

✦ Synopsis


This paper presents a fuzzy control algorithm for high order processes. The algorithm includes design of a basic fuzzy controller with its rule definition based on the qualitative reasoning in the phase plane and an incremental controller with the purpose to correspond with the order of the process. The genetic algorithms (GAs) are then utilized to the design and development for the fine tuning of the controller. Simulation results shown in the paper demonstrate the efficiency of this approach and the power of the GAs. (~) 1997 Elsevier Science B.V.


πŸ“œ SIMILAR VOLUMES


A genetic-algorithm-based method for tun
✍ H.B. GΓΌrocak πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 234 KB

It has been demonstrated many times in practice that fuzzy logic controllers have an important role in rule-based expert systems. However, it is essential for a fuzzy logic controller to have an appropriate set of rules to perform at the desired level. The linguistic structure of the fuzzy logic con

Expert SMC-based fuzzy control with gene
✍ Jen-Yang Chen πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 840 KB

Based on sliding mode control (SMC), an expert fuzzy controller synthesized by a collection of fuzzy linguistic control rules is proposed in this paper. The control strategy of the proposed controller is characterized by the linguistic terms in the fuzzy control rules. The membership functions of co

Genetic algorithms for learning the rule
✍ T.C. Chin; X.M. Qi πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 432 KB

In this paper, genetic algorithms are used in the study to maximise the performance of a fuzzy logic controller through the search of a subset of rule from a given knowledge base to achieve the goal of minimising the number of rules required. Comparisons are made between systems utilising reduced ru

Forecasting enrollments using high-order
✍ Shyi-Ming Chen; Nien-Yi Chung πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 185 KB

In recent years, many researchers have presented different forecasting methods to deal with forecasting problems based on fuzzy time series. When we deal with forecasting problems using fuzzy time series, it is important to decide the length of each interval in the universe of discourse due to the f