Title :
Further Results on Disturbance Decoupling of Mix-Valued Logical Networks
Author :
Lequn Zhang ; Jun-e Feng ; Xihuan Feng ; Juan Yao
Author_Institution :
Sch. of Math., Shandong Univ., Jinan, China
Abstract :
This note investigates the disturbance decoupling problems (DDPs) of mix-valued logical control networks (MLCNs) via semi-tensor product method. By using prime factor decomposition, a unique Y-friendly subspace of mix-valued logical networks (MLNs) is derived. A necessary and sufficient condition is obtained for the solvability of DDPs. An algorithm is proposed to find all disturbance decoupling controllers. This approach is more operational than the existing results in which the Y-friendly subspace is not unique. Finally, an illustrative numerical example is given to show the effectiveness of the proposed method.
Keywords :
formal logic; DDP; MLCN; MLN; disturbance decoupling controllers; disturbance decoupling problems; mix-valued logical control networks; mix-valued logical networks; prime factor decomposition; semitensor product method; unique Y-friendly subspace; Biological system modeling; Controllability; Electronic mail; Genetics; Probabilistic logic; Systems biology; Vectors; Coordinate transformation; disturbance decoupling; mix-valued logical network; prime Y-friendly subspace; prime regular subspace;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2013.2292733