Quantized H∞ filter design for networked control systems with random nonlinearity and sensor saturation

This paper investigates the quantized H ∞ filtering problem for networked control systems (NCSs) with multiple influencing factors such as randomly occurring nonlinearities and sensor saturation. The dynamic quantization strategy is employed, and stochastic variable is considered satisfying the Bernoulli distribution. The quantized H ∞ filter is designed to ensure the exponentially mean-square stable of the system and to guarantee a prescribed H ∞ disturbance attenuation level. Finally, a simulation example is given to demonstrate the effectiveness of the filter design method.

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