Sun, Yiming <br/><br/>
Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources 

 -  KIT Scientific Publishing  2016 
 - 1 electronic resource (XIII, 231 p. p.) 
<br/><br/> Open Access 
<br/><br/> In this work, an innovative real-time microwave control approach is proposed, to improve the temperature homogeneity under microwave heating. Multiple adaptive or intelligent control structures have been developed, including the model predictive control, neural network control and reinforcement learning control methods. Experimental results prove that these advanced control methods can effectively reduce the final temperature derivations and improve the temperature homogeneity. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>KSP/1000051503 9783731504672 
<br/><br/><label>Standard No.: </label>10.5445/KSP/1000051503  doi 
<br/><br/><label>Subjects--Index Terms: </label>Bestärkendes Lernenmicrowave heating Künstliches neuronales Netz Mehrgrößenregelung Mikrowellenerwärmung multiple-input multiple-output (MIMO) Modellprädiktive Regelung neural network model predictive control (MPC) reinforcement learning