Abstract
The fault-tolerant robust non-fragile H∞ filtering problem for networked control systems with sensor failures is studied in this paper. The Takagi-Sugeno fuzzy model which can appropriate any nonlinear systems is employed. Based on the model, a filter which can maintain stability and H∞ performance level under the influence of gain perturbation of the filter and sensor failures is designed. Moreover, the gain matrix of sensor failures is converted into a dynamic interval to expand the range of allowed failures. And the sufficient condition for the existence of the desired filter is derived in terms of linear matrix inequalities (LMIs) solutions. Finally a simulation example is given to illustrate the effectiveness of the proposed method.
Highlights
Along with the continuous development of industrial technology, networked control systems (NCSs) have gradually become a new trend and attracted much attention [1,2,3]
Sensor failures have a catastrophic effect on the filtering results
A fault-tolerant robust non-fragile H∞ filter for NCSs with sensor failures is designed
Summary
Along with the continuous development of industrial technology, networked control systems (NCSs) have gradually become a new trend and attracted much attention [1,2,3]. The estimation of unmeasured system parameters is significantly important, since the estimated parameters can be used in the design of controller and for on-line monitoring [15,16] T-S fuzzy networked control with time-delay, parameter uncertainties and sensor failures is studied. The main contributions of systems with time-delay, parameter uncertainties and sensor failures is studied. NCSs with sensor failure and the design method of filter based on the T-S fuzzy model. The main of NCSs with sensor failure and the design method of filter based on the fuzzy model.
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