Input-state model matching for multirate systems

Author(s):  
Mauro Cimino ◽  
Prabhakar R. Pagilla
2011 ◽  
Vol 60 (10) ◽  
pp. 815-824 ◽  
Author(s):  
Mauro Cimino ◽  
Prabhakar R. Pagilla

Author(s):  
Mauro Cimino ◽  
Prabhakar R. Pagilla

In this work we consider the problem of parametrizing the set of all stabilizing Linear Time-Invariant (LTI) controllers for multirate systems such that model matching is achieved with a desired transfer function. We consider those systems where the plant output can be measured at a rate (measurement update rate) slower than the control signal updates rate. The solution to the parametrization problem is provided for the two cases: (1) model matching at the control update rate, (2) model matching at the measurement update rate. Unlike model matching at the measurement update rate, model matching at the control update rate allows us to directly improve and characterize the transient response of the continuous-time system. Tools such as up-sampling and down-sampling operators, and modified Z-transforms are utilized to model the closed-loop multirate system and to parametrize the sets of LTI controllers.


1988 ◽  
Vol 49 (C8) ◽  
pp. C8-2231-C8-2232
Author(s):  
A. M. Portis ◽  
M. Stalder ◽  
G. Stefanicki ◽  
F. Waldner ◽  
M. Warden

2005 ◽  
Vol 55 (2) ◽  
pp. 171-199 ◽  
Author(s):  
Mária Csanádi

Reforms, in view of a comparative party-state model, become the instruments of self-reproduction and self-destruction of party-state power. The specific patterns of power distribution imply different development and transformation paths through different instruments of self-reproduction. This approach also points to the structural and dynamic background of the differences in the location, sequence, speed and political conditions of reforms during the operation and transformation of party-states. In view of the model the paper points to the inconsistencies that emerge in the comparative reform literature concerning the evaluation and strategies of reforms disconnected from their systemic-structural context.


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