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5.2 PerformanceMetrics:EnergyandH2 39
analysis allow us to take advantage of transfer functions, Bode plots, and other
powerful analytical tools that arisewhenweassume lineardynamics.
The assumptionof linearity doesnotmean thatwe think the actual dynamicsof
physical and biological processes are linear. Instead, startingwith the linear case
providesapowerfulway inwhich togain insight aboutdynamics.
In theprevious section,weconsideredhow tomeasure themagnitudeoffluctu-
ating control anderror signals.Amagnitude that summarizes somekeymeasure is
often called a norm. In the prior section, we chose the sumof squared deviations
fromzero,which is related to the2–normofa signal
‖u(t)‖2 = (∫ ∞
0 |u(t)|2dt )1/2
. (5.2)
Theenergyof thesignal is thesquareof the2–norm,‖u(t)‖22.Whenthe timeperiod
inthecostfunctionofEq.5.1goestoinfinity,T →∞,wecanwritethecostfunction
as
J =‖u(t)‖22+ρ2‖e(t)‖22. (5.3)
Thesignalu(t) isafunctionoftime.TheassociatedtransferfunctionU(s)describes
exactly the same signal, but as a function of the complexnumber, s, rather thanof
time, t.
It isoftenmucheasier toworkwith the transfer function foranalysis,noting that
we can goback and forth between time and transfer function descriptions. For the
analysisof squareddistancemetrics, the2–normof the transfer functionexpression
is
‖U(s)‖2 = (
1
2π ∫ ∞
−∞ |U(jω)|2dω )1/2
. (5.4)
Thistransferfunction2–normisoftenreferredtoastheH2norm.Theterm |U(jω)|2
is the squareof theBodegainormagnitude, as inFig.2.2e.Thatgaindescribes the
amplificationofasinusoidalinputatfrequencyω.TheH2normexpressestheaverage
amplificationof input signalsover all input frequencies.
If thegoal is tominimize the control input signal,u, or the error deviation from
zero,e, then thegreater the amplificationof a signal, thegreater the cost.Thus,we
canuse theH2 normtodefineanalternativecost functionas
J =‖U(s)‖22+ρ2‖E(s)‖22, (5.5)
which leads tomethods that are often calledH2 analysis. This cost describes the
amplificationofinputsignalswithrespecttocontrolanderroroutputswhenaveraged
overall input frequencies.Minimizing thiscost reduces theaverageamplificationof
input signals.
Control Theory Tutorial
Basic Concepts Illustrated by Software Examples
- Titel
- Control Theory Tutorial
- Untertitel
- Basic Concepts Illustrated by Software Examples
- Autor
- Steven A. Frank
- Verlag
- Springer Open
- Ort
- Irvine
- Datum
- 2018
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-319-91706-1
- Abmessungen
- 15.5 x 23.5 cm
- Seiten
- 114
- Schlagwörter
- Control Theory --- Engineering Design Tradeoffs, Robust Control, Feedback Control Systems, Wolfram
- Kategorie
- Informatik