Iterative solvers for periodic matrix equations and model reduction for periodic control systems

2012 ◽  
Author(s):  
Mohammad-Sahadet Hossain ◽  
Peter Benner
Keyword(s):  
Model Reduction ◽  
Control Systems ◽  
Iterative Solvers ◽  
Matrix Equations ◽  
Periodic Control ◽  
Periodic Matrix

scholarly journals Extending the CGLS method for finding the least squares solutions of general discrete-time periodic matrix equations

Filomat ◽  
2016 ◽  
Vol 30 (9) ◽  
pp. 2503-2520 ◽  
Author(s):  
Masoud Hajarian
Keyword(s):  
Finite Number ◽  
Least Squares ◽  
Control Systems ◽  
Discrete Time ◽  
Conjugate Gradient ◽  
Matrix Form ◽  
Matrix Equations ◽  
Numerical Examples ◽  
Periodic Matrix ◽  
Time Periodic

The periodic matrix equations are strongly related to analysis of periodic control systems for various engineering and mechanical problems. In this work, a matrix form of the conjugate gradient for least squares (MCGLS) method is constructed for obtaining the least squares solutions of the general discrete-time periodic matrix equations ?t,j=1 (Ai,jXi,jBi,j + Ci,jXi+1,jDi,j)=Mi, i=1,2,.... It is shown that the MCGLS method converges smoothly in a finite number of steps in the absence of round-off errors. Finally two numerical examples show that the MCGLS method is efficient.

A Method of Model Reduction

1986 ◽  
Vol 108 (4) ◽  
pp. 368-371 ◽  
Author(s):  
Jium-Ming Lin ◽  
Kuang-Wei Han
Keyword(s):  
Transfer Function ◽  
Frequency Response ◽  
Model Reduction ◽  
Control Systems ◽  
Response Curve ◽  
Nonlinear Control Systems ◽  
Frequency Response Curve ◽  
Stability Boundaries ◽  
Parameter Variations ◽  
The Stability

In this brief note, the effects of model reduction on the stability boundaries of control systems with parameter variations, and the limit-cycle characteristics of nonlinear control systems are investigated. In order to reduce these effects, a method of model reduction is used which can approximate the original transfer function at S=0, S=∞, and also match some selected points on the frequency response curve of the original transfer function. Examples are given, and comparisons with the methods given in current literature are made.

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