Fuzzy adaptive learning control network with on-line neural learning
Fuzzy Sets and Systems - Special issue on fuzzy control
Modern Control Engineering
A fuzzy controller with evolving structure
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Bio-inspired systems (BIS)
Direct adaptive fuzzy control with a self-structuring algorithm
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Direct adaptive self-structuring fuzzy controller for nonaffine nonlinear system
Fuzzy Sets and Systems
Structure identification in complete rule-based fuzzy systems
IEEE Transactions on Fuzzy Systems
Online global learning in direct fuzzy controllers
IEEE Transactions on Fuzzy Systems
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This work presents a fuzzy controller capable of designing its own structure online, based on the data obtained during the normal system operation. The algorithm does not use previous information about the differential equations that define the plant's behaviour. The controller may be initially empty, as the method is able to distinguish the important input variables by assigning them more membership functions. With this aim, the method works in two stages: the adaptation of the consequents for every tested topology and the online addition of new membership functions. To show its capabilities, simulation results with a liquid tank system are analyzed.