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The sufficient conditions are obtained by using linear matrix inequality (LMI) techniques.
An H∞ consensus criterion is derived by using linear matrix inequality and Lyapunov methods.
Sufficient conditions for the existence of the quadratic dissipative controllers are obtained by using linear matrix inequality (LMI) approach.
By using linear matrix inequality method, the numerical solution of mixed H2/H∞ state-feedback controller can be efficiently solved.
The Liapunov stability approach results in computationally efficient decentralized control design strategies described by using linear matrix inequalities.
By using linear matrix inequality (LMI) technology, sufficient conditions for the solvability of the addressed problem are obtained.
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By constructing a Lyapunov functional and using linear matrix inequality for stochastic analysis we derive sufficient conditions to guarantee the exponential stability of the stochastic model of impulsive GRNs in the mean-square sense.
Then, a residual feedback control law is given for compensating the influence of fault and the parameter matrices of the controller are obtained by solving a non-convex optimization problem using linear matrix inequality (LMI) technique.
The CIE tristimulus values were then converted to sRGB tristimulus values using linear matrix multiplication followed by 2.2 gamma correction [ 34].
The subsequent stated controller matrices are found by using the Linear Matrix Inequality approach.
The conditions in Theorem 5 are described in terms of two matrix inequalities, which can be realized by using the linear matrix inequality algorithm proposed in [28].
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by exploiting linear matrix
by using linear bin-size
by using linear salt
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by solving linear matrix
by using linear stability
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by using linear sweep
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by using linear cascade
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