Title :
Prior information in structure estimation
Author :
Kárný, M. ; Nedoma, P. ; Khaylova, N. ; Pavelkova, L.
Author_Institution :
Inst. of Inf. Theor. & Autom., Prague, Czech Republic
Abstract :
The problem of a joint quantification of prior knowledge and structure estimation is solved within the dynamic exponential family of models. The result is elaborated for normal controlled autoregressive models and illustrated on a simulated example. The problem arose as a substantial ingredient of the automatic commission of adaptive controllers, described in a companion paper. From this perspective, work also serves as an illustration of technology used within this broader context.
Keywords :
adaptive control; autoregressive processes; control system CAD; exponential distribution; linear quadratic Gaussian control; parameter estimation; ARX model; adaptive LQG controllers; adaptive controllers; automatic commission; dynamic exponential family of models; joint quantification; normal controlled autoregressive models; parameter estimation; prior information; structure estimation;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
DOI :
10.1049/ip-cta:20030861