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20.4 State-space models 609

Solutions

1 (a)

(b)

(c)

(d)

(e)

(f)

dy 1

dx =y dy 2

2

dx = −3y 1 −2y d 2 y

2 2 (a)

dx 2 + dy

dx −4y=0

dy 1

dx =y dy 2

2

dx = −9y 1 −8y 2

d 2 y

(b)

dx 2 −3dy dx +6y=0

dx 1 dx

=x 2

dt 2 = −6x

dt 1 −4x 2

d 2 x

(c)

dy 1 dy dt 2 −11x=0

=y 2

dt 2 = −7y

dt 1 −6y 2

d 2 y

(d)

dy 1

dx =y dy 2

2

dx =y dt 2 +5dy dt −38y=0

3

3 y ′′ +3y ′ +2y=0

dy 3

dx = −y 1 −2y 2 −6y 3

y 1 (t) =Ae −2t +Be −t

dx 1 dx

=x 2

y

dt 2 =x 2 (t) = − 2

dt 3

3 Ae−2t − 1 2 Be−t

( ) ( )

y ′ (y1 ) 2 6

dx 1

3

= −2x

dt 1 −4x 2 −2x 3 y 2

′ =

−2 −5 y 2

20.4 STATE-SPACEMODELS

Thereareseveralwaystomodellineartime-invariantsystemsmathematically.Oneway,

which we have already examined, is to use linear differential equations with constant

coefficients. A second method is to use transfer functions which will be discussed in

Chapter 21. A third type of model is the state-space model. The state-space technique

is particularly useful for modelling complex engineering systems in which there are

several inputs and outputs. It also has a convenient form for solution by means of a

digital computer.

Thebasisofthestate-spacetechniqueistherepresentationofasystembymeansofa

setoffirst-ordercoupleddifferentialequations,knownasstateequations.Thenumber

of first-order differential equations required to model a system defines the order of the

system. For example, if three differential equations are required then the system is a

third-ordersystem.Associatedwiththefirst-orderdifferentialequationsareasetofstate

variables, the samenumber astherearedifferential equations.

The concept of a state variable lies at the heart of the state-space technique. A system

is defined by means of its state variables. Provided the initial values of these state

variables are known, it is possible to predict the behaviour of the system with time by

means of the first-order differential equations. One complication is that the choice of

statevariablestocharacterizeasystemisnotunique.Manydifferentchoicesofasetof

state variables for a particular system are often possible. However, a system of ordern

only requires n state variables to specify it. Introducing more state variables than this

only introducesredundancy.

Thechoiceofstatevariablesforasystemis,tosomeextent,dependentonexperience

buttherearecertainguidelinesthatcanbefollowedtoobtainavalidchoiceofvariables.

One thing that is particularly important is that the state variables are independent of

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