Robust fault estimation of discrete-time nonlinear system based on an enhanced maximum-priority-based switching law

Abstract The problem of robust fault estimation of discrete-time nonlinear plant is investigated from the view of reducing its conservatism and restraining its on-line computational burden simultaneously. Firstly, an enhanced maximum-priority-based switching law is developed for subdividing the distribution types of normalized fuzzy weighting functions in a more flexible way. Then, a new fuzzy fault estimation observer is proposed with different switching modes in accordance with the updated value of the above switching law. More importantly, the proposed designing criterion is further optimized by considering the balance between reducing the conservatism and restraining the on-line computational burden. Finally, a set of simulation comparisons over the previous ones are provided to illustrate the advantages of our method developed in this paper.

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