Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Uncertainty-Based Information: Elements of Generalized Information Theory
Uncertainty-Based Information: Elements of Generalized Information Theory
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Genetic fingerprinting for copyright protection of multicast media
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Bio-Inspired Information Hiding; Guest editors: Jeng-Shyang Pan, Ajith Abraham
Modelling and implementation of fuzzy systems based on VHDL
International Journal of Approximate Reasoning
A refactoring method for cache-efficient swarm intelligence algorithms
Information Sciences: an International Journal
Type-2 Fuzzy Sets and Systems: An Overview [corrected reprint]
IEEE Computational Intelligence Magazine - Corrected Reprint
Artificial bee colony algorithm and pattern search hybridized for global optimization
Applied Soft Computing
Effects of type reduction algorithms on forecasting accuracy of IT2FLS models
Applied Soft Computing
An adaptive robust fuzzy beamformer for steering vector mismatch and reducing interference and noise
Information Sciences: an International Journal
| Hi-index | 0.00 |
This paper proposes the optimization of the type-2 membership functions for the average approximation of an interval of type-2 fuzzy controller (AT2-FLC) using PSO, where the optimization only considers certain points of the membership functions and, the fuzzy rules are not modified so that the algorithm minimizes the runtime. The AT2-FLC regulates the speed of a DC motor and is coded in VHDL for a FPGA Xilinx Spartan 3A. We compared the results of the optimization using PSO method with a genetic algorithm optimization of an AT2-FLC under uncertainty and the results are discussed. The main contribution of the paper is the design, simulation and implementation of PSO optimization of interval tye-2 fuzzy controllers for FPGA applications.