JOURNAL ARTICLE
A Novel Fuzzy Predictive Functional Control Based on T-S Fuzzy model
Abstract
A method for identifying nonlinear systems is presented, which is based on fuzzy cluster and orthogonal least square method. First, the nonlinear dynamic systemic T-S fuzzy model with this method is identified. Then the predictive controller is designed based on this model. The simulation results indicates that the algorithm is effective and applied, which has the characteristics of fast tracking, high control precision and strong stability.
Keywords:
Control theory (sociology) Model predictive control Fuzzy logic Fuzzy control system Stability (learning theory) Computer science Nonlinear system Controller (irrigation) Control (management) Artificial intelligence Machine learning
Metrics
1
Cited By
0.90
FWCI (Field Weighted Citation Impact)
0
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Advanced Algorithms and Applications
Physical Sciences → Engineering → Control and Systems Engineering
Industrial Technology and Control Systems
Physical Sciences → Engineering → Control and Systems Engineering
Advanced Sensor and Control Systems
Physical Sciences → Engineering → Control and Systems Engineering
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