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4.1. AdaptiveControl
QDMCcontainstwomainsteps. Thefirststepistoapplythestandard
DMCtothecontroltaskandobtainacontrolsolution. Ifthecontrolso-
lutionfulfills the inputconstraint (asgivenbyequation 4.4), itwillbe
directlyusedasthetruecontrolsolutionU(k). Otherwiseif itdoesnot
fulfill the input constraint, a new quadratic programming (QP) prob-
lem [GM86] has to be formulated and another control solution will be
calculated. ProceduresofQDMCaregiven in the following.
Instandardtime-invariantDMC,thelineardiscrete-timeequation3.41
isfirstlyre-written inacompletestate-space formas[Wan09]
X(k+1) = [A(k)]X(k)+[B(k)]U(k),
Y(k) = X(k), (4.7)
where X(k) is the state variable vector. Defining the difference state,
inputandoutputvectorsas
∆X(k) =X(k)−X(k−1),
∆U(k) =U(k)−U(k−1),
∆Y(k) =Y(k)−Y(k−1),
there is
∆X(k+1) = X(k+1)−X(k) = [A(k)]∆X(k)+[B(k)]∆U(k).
(4.8)
In order to simplify notations during following derivations, new aug-
mentedmatricesaredefinedas [Wan09]
Xd(k) = [
∆X(k)
Y(k) ]
, [Ad(k)] = [
[A(k)] [ON]
[A(k)] [IN] ]
,
[Bd(k)] = [
[B(k)]
[B(k)] ]
, [Cd(k)] = [
[ON] [IN] ]
,
where [ON]and [IN]arezeroandidentitymatrices (N×N).
Substituting above new defined matrices into equation 4.8, a new
state-space formedsystemmodel isgeneratedas
Xd(k+1) = [Ad(k)]Xd(k)+[Bd(k)]∆U(k),
Y(k) = [Cd(k)]Xd(k) (4.9)
91
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Title
- Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Author
- Yiming Sun
- Publisher
- KIT Scientific Publishing
- Location
- Karlsruhe
- Date
- 2016
- Language
- English
- License
- CC BY-SA 3.0
- ISBN
- 978-3-7315-0467-2
- Size
- 14.8 x 21.0 cm
- Pages
- 260
- Keywords
- Mikrowellenerwärmung, Mehrgrößenregelung, Modellprädiktive Regelung, Künstliches neuronales Netz, Bestärkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning
- Category
- Technik