Minimum entropy control of closed loop tracking errors for dynamic stochastic systems

Yue, Hong and Wang, Hong (2003) Minimum entropy control of closed loop tracking errors for dynamic stochastic systems. IEEE Transactions on Automatic Control, 48 (1). pp. 118-122. ISSN 0018-9286 (https://doi.org/10.1109/TAC.2002.806663)

Abstract

The entropy has been used to characterize the uncertainty of the tracking error for general nonlinear and non-Gaussian stochastic systems. A recursive optimization solution has been developed and the local stability condition of the closed-loop system has been established. The generality of this algorithm has been proved by the special case study of the minimum variance control for linear Gaussian systems.

• Share and Export
  

  RDF+XMLBibTeXRIOXX2 XMLRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationOpenURL ContextObjectEndNoteOpenURL ContextObject in SpanMODSMPEG-21 DIDLEP3 XMLData Cite XMLRIS (EndNote Online, Zotero, Ref manager, etc)RDF+N3Multiline CSV
• Item metadata

  Item type:	Article
  ID code:	5173
  Dates:	Date Event January 2003 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Strathprints Administrator
  Date deposited:	16 Jan 2008
  Last modified:	08 Apr 2024 15:50
  URI:	https://strathprints.strath.ac.uk/id/eprint/5173