Observability
One will consider in this article the linear systems invariants ( SLI ) defined by the following representation of state:
A system is known as observable if the observation of its entries and exits during an time interval finished makes it possible to find the initial state . In fact, since it is possible for the SLI to have an analytical solution, observability is thus an interesting property which enables us to affirm that one can know the state at any moment included/understood in the interval .
Diagonal system
That is to say a system describes by the Représentation of state with has a diagonal Matrice. This system is observable if and only if all the elements of the matrix C are nonnull.
Criterion of $kalman for the observability of the linear systems invariants
In a more general case, the system is observable if and only if:The matrix is called the matrix of observability, and its lines are calculated in an iterative way easily: .
Duality observability/Commandabilité
There exists a principle of duality between observability and the Commandabilité: are two systems:
-
is observable if and only if is commandable
- is commandable if and only if is observable
- a system at the same time commandable and observable is known as minimal .
Detectability
Observability is a strong property structural of the system. It is often sufficient to use the property of detectability. This last property can be defined in several ways equivalent, a system is known as detectable if:- Its nonobservable poles are stable.
- There exists a matrix of profit of Observateur of state such that the matrix is Hurtwitz.
Canonical form for observability
It is often interesting to separate the observable variables of state from the others. Let us note the partition observable of the vector of state, and the remainder of the vector of state, nonobservable. The system is written then:
See too
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