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- AI-NN-PR
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- 2012-11-26
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Description: A nov el class of hysteresis mo dels w as proposed. A cer tain num ber o f different deadband w idth
backlash models are superposed, w hich represents a dynamics to m i c hysteresis in the actuator. With
the mo del proposed, an radial basis function neural netw ork ( RBFN )-based adaptive control scheme for
nonlinear sy stems w ith unknow n hysteresis nonlinearity w as dev elo ped. The control scheme adopts the de-
sign method of pseudo-co ntro l. Witho ut the assumption of boundedness of disturbance term , it is tuned
thr oug h adaptive algo rithm . The stability is rigidly pr oved v ia Lyapunov theory and the effectiveness of
the pro posed contr ol scheme is illustrated through simulatio n.
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- [hysteresis] - Solve the hysteresis curve matlab simula
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