Computer Science, asked by sethprathamesh3557, 11 months ago

What is meant by completely state controllable system?

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Answered by yogeshm1232002
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Definition 2 Complete OutputControllability: The system given in equation (1) is said to be completelyoutput controllable or simply outputcontrollable if any final output can be reached from any initial state by applying an unconstrained input sequence , , for some finite . Otherwise (1) is not output controllable.
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Answered by adi487510
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1. Controllability

Before going to any details, we would first formally define controllability. Consider a dynamical system

(1)

where $ A \in R^{n\times n}$, $ B \in R^{n\times m}$, $ C \in R^{p\times n}$, $ D \in R^{p\times m}$.

Definition 1 The state equation (1) (or the pair (A,B) ) is said to be completey state controllable or simply controllable if for any initial state x(0) and any final state x(N), there exists an input sequence $ u(k)$, $ k=0,1,2,\cdots, N$, which transfers x(0) to x(N) for some finite N. Otherwise the state equation (1) is uncontrollable.

Definition 2   Complete Output Controllability: The system given in equation (1) is said to be completely output controllable or simply output controllable if any final output  $ \boldsymbol{y}(N)$ can be reached from any initial state  $ \boldsymbol{x}(0)$ by applying an unconstrained input sequence  $ \boldsymbol{u}(k)$, $ k=0,1,2,\cdots, N$, for some finite  $ N$. Otherwise (1) is not output controllable.

1.1 Theorems on controllability

1. The state equation (1) or the pair (A,B) is controllable if and only if the $ n\times nm$ controllability matrix

$\displaystyle U_C=\left[ B \;\;\;AB\;\;\; A^2B\;\;\; ......\;\;\;A^{n-1}B\right]$

has rank n, i.e., full row rank.  

2. The state equation (1) is controllable if the $ n\times n$ controllability grammian matrix  

$\displaystyle W_c=\sum_{i=0}^{N-1} A^i BB^T (A^i)^T=\sum_{i=0}^{N-1} A^{N-1-i} BB^T (A^{N-1-i})^T$  

is nonsingular for any nonzero finite N.  

3. If the system has a single input and the state model is in controllable canonical form then the system is controllable.  

4. When A has distinct eigenvalues and in Jordan/Diagonal canonical form the state model is controllable if and only if all the rows of B are nonzero.  

5. When A has multiple order eigenvalues and in Jordan canonical form, then the state model is controllable if and only if

   i. each Jordan block corresponds to one distinct eigenvalue and  

 ii. the elements of B that correspond to last row of each Jordan block are not all zero.

Output Controllability: The system in equation (1) is completely output controllable if and only if the $ p\times (n+1)m$ output controllability matrix

$\displaystyle U_{OC}=\left[ D \;\;\;CB\;\;\; CAB \;\;\; CA^2B\;\;\; ......\;\;\;CA^{n-1}B\right]$    

has rank $ p$, i.e., full row rank.

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