System identification: theory for the user
System identification: theory for the user
Fuzzy self-organizing controller and its application for dynamic processes
Fuzzy Sets and Systems - Fuzzy Control
An introduction to fuzzy control
An introduction to fuzzy control
A tunable fuzzy logic controller for vehicle-active suspension systems
Fuzzy Sets and Systems
Sliding mode neural network inference fuzzy logic control for active suspension systems
IEEE Transactions on Fuzzy Systems
An interval fuzzy controller for vehicle active suspension systems
IEEE Transactions on Intelligent Transportation Systems
Design of a grey-prediction self-organizing fuzzy controller for active suspension systems
Applied Soft Computing
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A self-organizing fuzzy controller (SOFC) is proposed to control an active suspension system and evaluate its control performance. In complicated nonlinear system control, the SOFC continually updates the learning strategy in the form of fuzzy rules during the control process. The learning rate and the weighting distribution value of the controller are hard to regulate, so its fuzzy control rules may be excessively modified such that the system response generally causes an oscillatory phenomenon. Two fuzzy-logic controllers were designed according to the system output error and the error change, and introduced to the SOFC to determine the appropriate parameters of the learning rate and the weighting distribution, to eliminate this oscillation. This new modifying self-organizing fuzzy-control approach can effectively improve the control performance of the system, reduce the time consumed to establish a suitable fuzzy rule table, and support practically convenient fuzzy-controller applications in an active suspension control system, as verified experimentally.