observability gramian
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2021 ◽  
Vol 15 ◽  
pp. 115-122
Author(s):  
Tiberiu Vasilache ◽  
Valeriu Prepelita

A connection is emphasized between two branches of the Systems Theory, namely the Geometric Approach and 2D Systems, with a special regard to the concept of observability. An algorithm is provided which determines the maximal subspace which is invariant with respect to two commutative matrices and which is included in a given subspace. Observability criteria are obtained for a class of 2D systems by using a suitable 2D observability Gramian and some such criteria are derived for LTI 2D systems, as well as the geometric characterization of the subspace of unobservable states. The presented algorithm is applied to determine this subspace.


2021 ◽  
pp. 215-257
Author(s):  
S. Lakshmivarahan ◽  
John M. Lewis ◽  
Sai Kiran Reddy Maryada

2019 ◽  
Vol 72 (1) ◽  
pp. 1-11
Author(s):  
Ryoichi Yoshimura ◽  
Aiko Yakeno ◽  
Takashi Misaka ◽  
Shigeru Obayashi

2018 ◽  
Vol 25 (10) ◽  
pp. 1570-1574 ◽  
Author(s):  
Wangyan Li ◽  
Fuwen Yang ◽  
Guoliang Wei

2017 ◽  
Vol 37 (S1) ◽  
pp. 237-252 ◽  
Author(s):  
Odair Menuzzi ◽  
Jun S. O. Fonseca ◽  
Eduardo A. Perondi ◽  
Juliano F. Gonçalves ◽  
Eduardo Padoin ◽  
...  

2015 ◽  
Vol 13 (3-4) ◽  
pp. 20-28
Author(s):  
Kamen Perev

Abstract This paper considers the problem of model order reduction by transforming the system into input and output normal forms. The reachability gramian in the input normal form is the identity matrix and the observability gramian is a diagonal matrix. Conversely, the observability gramian in the output normal form is the identity matrix and the reachability gramian is a diagonal matrix. The elements of the non-identity diagonal gramians in both normal forms are the squares of the system Hankel singular values. This fact determines the equivalent role which both normal forms play in model order reduction. The implemented projection is nearly orthogonal up to a scaling with the elements of a diagonal matrix. In the paper are shown the relations between the transformed system descriptions and the reachability and observability operators. Major influence for the output energy distribution in the input normal form has the observability operator, while the input energy is uniformly distributed. Alternatively, the input energy distribution in the output normal form is due to the reachability operator action, while the output energy is uniformly distributed. Several experiments are performed confirming the equivalent role of the input and output normal forms in the procedures of system approximation.


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