A Neuro-fuzzy Adaptive Control of Interactive Systems
نویسنده
چکیده
The paper presents adaptation and optimization of the interaction structure of interactive systems by application of the control theory principles based on a fuzzy neural network. The interactive system is presented as a control system consisting of two parts: 1) plant of control or controlled plant (model of the real-life process) and 2) neurofuzzy-based feedback control algorithm. The last one is detailed presented. A MATLAB-based control structure for adaptive interactive systems is proposed. A MATLAB object-oriented fuzzy neural network is kernel of the control algorithm. By logfile data from a web-based interactive system the neuro-fuzzy-based adaptive control is simulated and studied. The advantages of adaptive control of interactive systems and further developments are discussed.
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