Discrete-Time Sliding Mode Filter with Parameter adaptation

This paper presents a new sliding mode filter (SMF-N). The SMF-N is an improvement of Levant et al.’s proposed sliding mode filter (SMF-L). SMF-N improves two drawbacks of SMF-L by using parameter adaptation. One is that SMF-N guarantees System tracking performance. Another one is that SMF-N balances the trade-off between convergence speed and noise attenuating efficiency. In addition, SMF-N produces less overshoot than SMF-L. Simulations are conducted for validating the advantage of the SMF-N.

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