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The norm-bounded parametric uncertainties enter into both the system and output matrices.
The stochastic uncertainties in state and output matrices are depicted by white multiplicative noises.
Then, the output matrices (Q ′,R ′) and ((bar {mathbf {Q}}, bar {mathbf {R}})) differ from each other.
Three drawbacks existing in the previous papers such as coordinate transformation, same output matrices and BMI problem have been eliminated.
The system under consideration is subject to time-varying norm-bounded parameter uncertainty in both the state and output matrices.
When the fuzzy subsystems have the same output matrices, another fuzzy descriptor observer is designed, which can be transformed into a normal fuzzy observer.
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C : Output matrix.
The 130X130 output matrix has been aggregated to 23X23 matrix.
where (Cin mathbb {R}^{mtimes n}) is the output matrix.
Step two: Calculate the hidden layer output matrix H. Step three: Calculate the output weight matrix β.
The output matrix C is a unit matrix with a dimension of 6 × 6.
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