#7642. Adaptive Takagi-Sugeno fuzzy model and model predictive control of pneumatic artificial muscles

October 2026publication date
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Journal’s subject area:
Engineering (all);
Materials Science (all);
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Abstract:
Pneumatic artificial muscles (PAMs) usually exhibit strong hysteresis nonlinearity and time-varying features that bring PAMs modeling and control difficulties. To characterize the hysteresis relation between PAMs’ displacement and fluid pressure, a long short term memory (LSTM) neural network model and an adaptive Takagi-Sugeno (T-S) fuzzy model are proposed.
Keywords:
adaptive T-S fuzzy model; LSTM neural network model; model predictive control; pneumatic artificial muscles

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