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Advances in the Control of Markov Jump Linear Systems with No Mode Observation
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Advances in the Control of Markov Jump Linear Systems with No Mode Observation
von: Alessandro N. Vargas, Eduardo F. Costa, João B. R. do Val
Springer-Verlag, 2016
ISBN: 9783319398358
52 Seiten, Download: 1567 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: B (paralleler Zugriff)

 

 
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Inhaltsverzeichnis

  Contents 6  
  Preliminaries 7  
     1 Introduction 7  
     References 10  
  Finite-Time Control Problem 12  
     1 Finite-Time Control Problem: Variational Method 12  
     2 Definitions and Basic Concepts 12  
        2.1 Main Results 15  
        2.2 Numerical Method for the Necessary Optimal Condition 17  
        2.3 Numerical Example 22  
        2.4 Experimental Results from a DC Motor Device 24  
     3 Finite-Time Control Problem: Descendent Methods 28  
        3.1 Preliminaries 28  
        3.2 Main Results 29  
        3.3 Methodology 33  
        3.4 Numerical Evaluations 34  
        3.5 Concluding Remarks 35  
     4 Next Chapter: Approximation Method 35  
     References 37  
  Approximation of the Optimal Long-Run Average-Cost Control Problem 39  
     1 Preliminaries 39  
     2 Notation and Main Results 42  
        2.1 Discounted Criterion and the Main Result 43  
     3 Numerical Example 45  
     4 Proof of Theorem 3.1 46  
        4.1 Proof of Theorem 3.1 Continued 48  
     5 Concluding Remarks 49  
     References 50  
  Series Editor's Biographies 51  


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