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Chapter9
StateFeedback
A transfer function corresponds to a time-invariant, linear systemof ordinary dif-
ferential equations. In an earlier chapter, I showed the general form of a transfer
function inEq.2.5and theunderlyingdifferential equations inEq.2.6.
For example, the transfer function P(s)=1/(s+a)with input u and output y
corresponds to the differential equation x˙ =−ax+u, with output y= x. Here, x
is the internal stateof theprocess.Models thatworkdirectlywith internal statesare
called state-spacemodels.
Transfer functionsprovide significant conceptual andanalytical advantages.For
example, themultiplication of transfer functions and the simple rules for creating
feedback loops allow easy creation of complex process cascades.With regard to
systemresponse, aBodeplot summarizesmanyaspects ina simple,visualway.
However, itoftenmakessensetoanalyzetheunderlyingstatesdirectly.Consider,
for example, the regulation of an organism’s body temperature.We could model
performance and cost in terms of body temperature. Alternatively, the underlying
statesmayinclude theburningofstoredenergy, theriseandfallofvarioussignaling
molecules, thedilationofbloodvessels, andsoon.
Directanalysisof those internal statesprovidesadvantages.The individualstates
mayhave associated costs,whichwecould studydirectly in our cost function.We
couldconsider theregulatorycontrolof the individualstates rather thantemperature
because temperature isanaggregateoutcomeof theunderlyingstates.Forexample,
eachstatecouldberegulated throughfeedback, inwhich thefeedbackintoonestate
maydependon thevaluesofallof thestates, allowingmore refinedcontrolofcosts
andperformance.
Whenwe use a state-space analysis, we do not have to give up all of the tools
of frequencyanalysis thatwedevelopedfor transfer functions.Forexample,wecan
consider the responseofa systemtodifferent input frequencies.
State-space models can also describe time-varying, nonlinear dynamics. The
responseofanonlinearsystemwillchangewithitsunderlyingstate,whereastransfer
functionsystemshaveaconstant frequency response.
©TheAuthor(s)2018
S.A.Frank,ControlTheoryTutorial, SpringerBriefs inAppliedSciences
andTechnology,https://doi.org/10.1007/978-3-319-91707-8_9 69
Control Theory Tutorial
Basic Concepts Illustrated by Software Examples
- Title
- Control Theory Tutorial
- Subtitle
- Basic Concepts Illustrated by Software Examples
- Author
- Steven A. Frank
- Publisher
- Springer Open
- Location
- Irvine
- Date
- 2018
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-319-91706-1
- Size
- 15.5 x 23.5 cm
- Pages
- 114
- Keywords
- Control Theory --- Engineering Design Tradeoffs, Robust Control, Feedback Control Systems, Wolfram
- Category
- Informatik