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Based on the derived conditions, a design procedure for the H∞ filter is also presented.
The derived conditions can be easily solved with the help of LMI toolbox in Matlab.
By using software such as MATLAB or Mathematica, the derived conditions in the theorem can be verified easily.
Since the derived conditions are all convex in system matrices, it is very convenient to be applied into controller design.
The solvability of derived conditions depends not only on the attenuation level but also the initial values of complex networks.
We derived conditions on quantized event-triggered NCS which, when satisfied, can guarantee the asymptotic stability of the system.
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Only rarely, and then clearly as a derived condition, is the secondary inflorescence racemose throughout, with the lowest heads blooming first and the terminal ones last.
Based on the derived condition, the state-feedback controller design approach is also given.
The validity of the derived condition is analyzed from two viewpoints.
Then, based on the derived condition, and applying linear matrix inequalities LMIs) techniques, the passive state feedback controller is synthesized.
With these parameters fixed, a design procedure for the desired H∞ filter is also presented based on the derived condition.
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