Multiobjective Optimization Design of Interpretable Evolutionary Fuzzy Systems With Type Self-Organizing Learning of Fuzzy Sets
Author:
Affiliation:
1. College of Electrical Engineering, Sichuan University, Chengdu, China
2. Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China
Funder
Sichuan Science and Technology Program
National Natural Science Foundation of China
Jiangsu Natural Science Foundation for Distinguished Young Scholars
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/91/10114472/09893915.pdf?arnumber=9893915
Reference48 articles.
1. Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems
2. On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers
3. Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States
4. A Multi-objective evolutionary fuzzy system for big data
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