Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse...

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This is a repository copy of Non-Linear Systems Identification Using Radial Basis Functions. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/78229/ Monograph: Chen, S., Billings, S.A., Cowan, C.F.N. et al. (1 more author) (1989) Non-Linear Systems Identification Using Radial Basis Functions. Research Report. Acse Report 378 . Dept of Automatic Control and System Engineering. University of Sheffield [email protected] https://eprints.whiterose.ac.uk/ Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version - refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher’s website. Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request.

Transcript of Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse...

Page 1: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore

This is a repository copy of Non-Linear Systems Identification Using Radial Basis Functions.

White Rose Research Online URL for this paper:http://eprints.whiterose.ac.uk/78229/

Monograph:Chen, S., Billings, S.A., Cowan, C.F.N. et al. (1 more author) (1989) Non-Linear Systems Identification Using Radial Basis Functions. Research Report. Acse Report 378 . Dept of Automatic Control and System Engineering. University of Sheffield

[email protected]://eprints.whiterose.ac.uk/

Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version - refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher’s website.

Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request.

Page 2: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 3: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 4: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 5: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 6: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 7: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 8: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 9: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 10: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 11: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 12: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 13: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 14: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 15: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 16: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 17: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 18: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 19: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 20: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 21: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 22: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 23: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 24: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 25: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 26: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 27: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 28: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 29: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 30: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 31: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 32: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 33: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 34: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 35: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 36: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 37: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 38: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 39: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 40: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 41: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore
Page 42: Non-Linear Systems Identification Using Radial Basis Functionseprints.whiterose.ac.uk/78229/1/acse report 378.pdf · function from R to R. A radial-basis-function model can therefore