Time-Variant and Time-Invariant Matrix Inequations of Zhang Equivalency Besides Matrix Equations

Author(s):  
Yunong Zhang ◽  
Jianzhen Xiao
Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-27 ◽  
Author(s):  
Predrag S. Stanimirović ◽  
Miroslav Ćirić ◽  
Igor Stojanović ◽  
Dimitrios Gerontitis

Conditions for the existence and representations of 2-, 1-, and 1,2-inverses which satisfy certain conditions on ranges and/or null spaces are introduced. These representations are applicable to complex matrices and involve solutions of certain matrix equations. Algorithms arising from the introduced representations are developed. Particularly, these algorithms can be used to compute the Moore-Penrose inverse, the Drazin inverse, and the usual matrix inverse. The implementation of introduced algorithms is defined on the set of real matrices and it is based on the Simulink implementation of GNN models for solving the involved matrix equations. In this way, we develop computational procedures which generate various classes of inner and outer generalized inverses on the basis of resolving certain matrix equations. As a consequence, some new relationships between the problem of solving matrix equations and the problem of numerical computation of generalized inverses are established. Theoretical results are applicable to complex matrices and the developed algorithms are applicable to both the time-varying and time-invariant real matrices.


1990 ◽  
Vol 112 (3) ◽  
pp. 507-512 ◽  
Author(s):  
M. A. Zohdy ◽  
A. A. Abdul-Wahab ◽  
N. K. Loh ◽  
Jun Liu

This paper presents a new and unified treatment of feedback control for linear multivariable time-invariant systems, using reduced-order dynamic output feedback to recover state feedback properties. A set of free design parameters are effectively exploited in achieving desirable performance tradeoffs, through solving Lyapunov-like matrix equations.


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