Skip to main content
Figure 3 | Journal of NeuroEngineering and Rehabilitation

Figure 3

From: A Dynamic Neuro-Fuzzy Model Providing Bio-State Estimation and Prognosis Prediction for Wearable Intelligent Assistants

Figure 3

The structure of nuclei for reference and homeostasis. A fact event can changes the reference via its own FIS (Rule Type A), and the change will be added to the reference through a first order system with a certain time of delay. When a context event happens, it will affect the reference in the same way as fact events. When there is an intervention, its frequency at the point will be calculated based on the history by a frequency calculator. A user-defined mapping function will then be applied to calculate the change. The mapping function maps the frequency and intensity of the intervention and the initial reference value into the result change. Then the change will be added to the reference through a first order system with a certain time of delay. The mapping function is defined by the user as two tables. If the frequency or the intensity is not in the table, the result change will be calculated by interpolation. All the result changes on the reference of one state caused by different inputs will be summed together by fuzzy OR operation, and then applied to the reference value. Users are encouraged to change references slowly and conservatively. The homeostasis nuclei sense the state value and compare it to the reference. Its output is sent to the integration neuron in the rule-state layer. In homeostasis nuclei, each path in control part and nonlinear paths and the feedback path can be turned on/off by the user. The fuzzy OR operation is used to assure the stability.

Back to article page