JOURNAL ARTICLE

An Approximation of Interval Type-2 Fuzzy Controllers Using Fuzzy Ratio Switching Type-1 Fuzzy Controllers

Chin‐Wang TaoJ.S. TaurChen‐Chia ChuangYeong‐Hwa ChangYeong‐Hwa Chang

Year: 2010 Journal:   IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) Vol: 41 (3)Pages: 828-839   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In this paper, the interval type-2 fuzzy controllers (FC(IT2)s) are approximated using the fuzzy ratio switching type-1 FCs to avoid the complex type-reduction process required for the interval type-2 FCs. The fuzzy ratio switching type-1 FCs (FC(FRST1)s) are designed to be a fuzzy combination of the possible-leftmost and possible-rightmost type-1 FCs. The fuzzy ratio switching type-1 fuzzy control technique is applied with the sliding control technique to realize the hybrid fuzzy ratio switching type-1 fuzzy sliding controllers (HFSC(FRST1)s) for the double-pendulum-and-cart system. The simulation results and comparisons with other approaches are provided to demonstrate the effectiveness of the proposed HFSC(FRST1)s.

Keywords:
Type (biology) Fuzzy logic Interval (graph theory) Fuzzy control system Mathematics Control theory (sociology) Computer science Topology (electrical circuits) Artificial intelligence Algorithm Control (management) Combinatorics Biology

Metrics

17
Cited By
1.60
FWCI (Field Weighted Citation Impact)
35
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Fuzzy Systems and Optimization
Physical Sciences →  Mathematics →  Statistics and Probability

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