• No results found

Identification of nonlinear systems using generalized kernel models

N/A
N/A
Protected

Academic year: 2020

Share "Identification of nonlinear systems using generalized kernel models"

Copied!
11
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 2.Performance of the 15-term generalized Gaussian kernel model for theoutputengine data set
Fig. 3.Performance of the 15-term generalized Gaussian kernel model for thesystem outputengine data set
Fig. 5.Performance of the 21-term generalized Gaussian kernel model for thesystem outputgas furnace data set

References

Related documents

 To cover all the services, which are necessary to ascertain the successful management of a property, and to supply the required in depth knowledge to our customers, we have a

This book will quickly enable you to build a successful business by specializing in select vintage booklets and brochures online!.2. My website was provided by ABE Books, also

SEM–EDX, FTIR and GC–MS analyses of pigments, fill- ers and binders that were used in grounds of a group of Danish nineteenth century paintings seemed to indicate that the painters

Deloitte’s SAP CRM Pre-Configured Solution is designed to help you address all of the issues identified by our round table participants and drive customer value through time and

Second Stage Mote System Particulate Emission Factors for Cotton Gins: Particle Size Distribution Characteristics..

Conclusion: in Tehran’s families, the children’ self- esteem might be highly influenced by the mothers’ parenting styles and schemas, and therefore in order to

Reflecting the needs of Users, and in accord with legal requirements, the following minimum national standards and best practice framework have been agreed for NHS Wheelchair

Synergistic activity of APR-246 in combination with the DNA-damage-inducing agent doxorubicin in TP53 mut B-cell precursor (BCP)-acute lymphoblastic leukemia (ALL) cell lines (A,