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Deadzone compensation in discrete time using adaptive fuzzy logic

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2 Author(s)
Campos, J. ; Texas Univ., Arlington, TX, USA ; Lewis, F.L.

A fuzzy logic (FL) compensator is designed for control of nonlinear discrete-time systems with input deadzone. The classification property of FL systems makes them a natural candidate for the rejection of errors induced by the deadzone, which has regions in which it behaves differently. A discrete-time tuning algorithm is given for the FL parameters so that the deadzone compensation scheme becomes adaptive, guaranteeing bounded tracking errors and parameter estimates. A rigorous proof of stability and performance is given and a simulation example verifies performance. Unlike standard discrete-time adaptive control techniques, no certainty equivalence assumption is needed

Published in:

Fuzzy Systems, IEEE Transactions on  (Volume:7 ,  Issue: 6 )

Date of Publication:

Dec 1999

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