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The proposed method is based on algebraic approach of control design and a linear approximation of the time-delay term.
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By taking advantages of soft-decision outputs of the channel and by employing statistical signal-processing methods, it achieves higher recognition performances than existing algorithms which are based on algebraic approaches in hard-decision situations.
This comparison suggested that the approaches based on algebraic iteration offered both superior reconstruction fidelity and computation efficiency at low (two or three) view angles, and these advantages diminished at high view angles.
Traditional statistical and computational methods have always been essential to the problems of gene annotation, but new approaches based on algebraic statistics and modern discrete mathematics are proving to be equally important.
Sufficient conditions are derived to reach a global consensus based on algebraic graph, matrix theory, and Lyapunov control approach.
Some sufficient conditions are derived for accomplishing the asymptotically stability of the systems based on algebraic graph theory, matrix theory, and Lyapunov control approach.
By symbolic computation, we mean programs like Mathematica that perform symbolic algebra and apply transformation rules based on algebraic identities.
Various approaches have been proposed to address such a challenge, and two categories of approaches include those based on optimization and those based on algebraic iteration.
The results are based on algebraic properties of the information matrix.
The design technique is based on algebraic graph theory, Riccati inequality and Lyapunov inequality.
Two decentralized sliding mode control laws are proposed and analyzed based on algebraic graph theory.
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