Lecture 9: Controllability Flashcards

1
Q

Controllability

A

transfers state to origin

x(tf) = 0; x(tf) = -Iota(tf,t0)*x0

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2
Q

Reachability

A

set of all states x1 reachable at t1

x0 = int(Iota(tf,Tau)B(Tau)u(Tau)dTau

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3
Q

Relationship Between Reachability/Controllability

A

Completely reachable -> completely controllable

Conpletely controllable -> completely reachable if transitions matrix is non singular (CT systems always true)

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4
Q

A-invariant

A

if x -> controllable subspace then Ax -> controllable subspace

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5
Q

Reachability in Controllable Subspace

A

Any element of Controllable subspace can reach any other element within the controllable subspace

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6
Q

Controllability Canonical Form

A
T = (T1,T2)
T1 = span of q-dimensional controllable subspace
T2 = form basis with T1
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7
Q

Controllability Transformation Matrix applied to System

A
A' = [A'11 A'12; 0 A'22] = inv(T)*A*T
B' = [B'1; 0] = inv(T)*B
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8
Q

Properties of Controllability Transformation Matrix

A
  1. (A’11,B’1) is completely controllable
  2. A’11 controllable eigenvalues
  3. A’22 uncontrollable eigenvalues
  4. x’ = inv(T) * x -> controllability canonical form
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9
Q

Methods of determining Controllable for LTV

A
  1. If grammian yields non-singular matrix

2. M-test must have rank = dim(A)

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10
Q

Controllaibility for DT Linear systems

A
  1. If Iota has full rank then reachability matrix must have full rank
  2. If Iota has less than full rank then Rc rank must be < n
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11
Q

DT Reachability Matrix

A
  1. Rc = (B(k1 - 1), Iota(k1,k1-1)B(k1-2),…, Iota(k1, k0 + 1)B(k0))
  2. Rc = (B, AB, A^2B, … , A^(n-1)*B) for time invariant
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12
Q

M-Test

A
M0(t) = B(t)
Mj(t) = -A(T)*M(j-1)(t) + M'(j-1)(t), j = 1, ... , n-1
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