Linear multivariable control: algebraic analysis and synthesis methods
Details the basic theory of polynomial and fractional representation methods for algebraic analysis and synthesis of linear multivariable control systems. It also serves as a self-contained treatise of the mathematical theory so that results and techniques of the ``state space approaches'' for regular and singular systems appear as special cases of a general theory covering the wider class of PMDs of linear systems. Among the topics covered are: real rational vector spaces and rational matrices, pole and zero structure of rational matrices at infinity, proper and omega stable rational fuctions and matrices.
10 pages matching greatest common left in this book
Results 1-3 of 10
What people are saying - Write a review
We haven't found any reviews in the usual places.
Polynomial Matrix Models of Linear Multivariable Systems
5 other sections not shown
biproper rational block column degrees column proper column reduced common left divisor Consider Control coprime in Q Corollary defined Definition deg d(s denote Desoer diag Diophantine equations equivalence relation Euclidean division Example Exercise finite follows greatest common left holds true homogeneous matrix differential i.e. let IEEE Trans implies initial conditions internally proper invariant invariant polynomials Laplace transform left coprime Lemma let T(s matrix differential equation matrix pencil minimal realization nn(s non-singular obtain oo of T(s PMD A(p pole-zero structure poles polynomial basis polynomial matrix Proof proper rational matrix Proposition Q S-MFDs Q-stabilizing rankR rankR(s)T(s rational functions rational matrix T(s rational vector space reachable Remark right coprime right divisor Rosenbrock row column row proper satisfied Smith form Smith-McMillan form solution stabilizing compensator strict system equivalent strictly proper system equivalence system matrix TGL(s Theorem TL(s TR(s transfer function matrix unimodular matrix vector space zero structure