journals1990.bib

@article{Gaw90a,
  author = {Gawthrop, P. J.},
  title = {Robust stability of multi-loop continuous time self-tuning controllers},
  journal = {International Journal of Adaptive Control and Signal Processing},
  volume = 4,
  number = 5,
  publisher = {Wiley Subscription Services, Inc., A Wiley Company},
  issn = {1099-1115},
  doi = {10.1002/acs.4480040504},
  pages = {359--382},
  keywords = {Adaptive control, Robust stability, Multivariable control},
  year = 1990,
  abstract = {The results of an earlier paper concerning global robustness of single-loop self-tuning controllers are extended to include multiple self-tuning controllers operating in a multiple-interacting-loop environment. The robust stability is shown to depend on the singular value loci of a certain transfer function matrix. The need for control weighting to ensure global robust stability is emphasized.}
}
@article{GawMirLi90,
  author = {P. J. Gawthrop and
		H. Mirab and
		X. Li},
  cscauthor = {pjg},
  title = {Robot Model Validation},
  journal = {Transactions of the  Institute of Measurement and Control},
  volume = 12,
  number = 4,
  month = {May},
  pages = {197--207},
  year = 1990
}
@article{GawNom90,
  author = {P. J. Gawthrop and P. E. Nomikos},
  cscauthor = {pjg},
  title = {Automatic tuning of commercial PID controllers
	for single-loop and multi-loop applications},
  journal = {IEEE Control Systems Magazine},
  volume = 10,
  number = 1,
  month = {January},
  pages = {34-42},
  year = 1990,
  pdf = {../../Publications/csc1990/GawNom90.pdf}
}
@article{GawSba90,
  author = {P. J. Gawthrop and
		D. G. Sbarbaro},
  cscauthor = {pjg},
  title = {Stochastic approximation and Multilayer perceptrons:
                 The gain back-propagation Algorithm},
  journal = {Complex System Journal},
  volume = 4,
  pages = {51--74},
  year = 1990,
  abstract = {A standard general algorithm, the stochastic approximation algorithm of Albert and Gardner [1], is applied in a new context to compute the weights of a multilayer perceptron network. This leads to a new algorithm, the gain backpropagation algorithm, which is related to, but significantly different from, the standard backpropagation algorithm [2]. Some simulation examples show the potential and limitations of the proposed approach and provide comparisons with the conventional backpropagation algorithm.}
}
@article{GawNomSmi90,
  author = {P. J. Gawthrop and
		P. Nomikos and
		L. Smith},
  cscauthor = {pjg},
  title = {Adaptive temperature control of industrial processes:
		 A comparative survey},
  journal = {Proc. IEE Pt.D},
  volume = 137,
  number = 3,
  pages = {137--144},
  year = 1990,
  pdf = {../../Publications/csc1990/GawNomSmi90.pdf}
}

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