An Approach to Adaptive Control Using Real Time Identification

Summary, in English

An adaptive controller consisting of a real time identifier and a minimum variance regulator is discussed. The identification is done by augmenting the state with the unknown parameters of the process. This usually leads to a non-linear filtering problem. By choosing a model of special structure the problem can, however, be reduced to a linear problem. The control law is derived using stochastic optimal control theory. By choosing a special criterion, the stochastic control problem can be solved analytically. The behaviour of the adaptive controller is illustrated in two examples.

• Författare: Johan Wieslander; Björn Wittenmark
• Avdelning/ar: Institutionen för reglerteknik
• Publiceringsår: 1971
• Språk: Engelska
• Sidor: 211-217
• Publikation/Tidskrift/Serie: Automatica
• Volym: 7
• Länkar: http://dx.doi.org/10.1016/0005-1098(71)90064-1
• Dokumenttyp: Artikel i tidskrift
• Förlag: Pergamon Press Ltd.
• Ämne: Control Engineering
• Status: Published
• ISBN/ISSN/Övrigt: ISSN: 0005-1098