Search Results - "Vanlandingham, H.F."

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  1. 1

    Fusion of soft computing and hard computing in industrial applications: an overview by Ovaska, S.J., VanLandingham, H.F., Kamiya, A.

    “…Soft computing (SC) is an emerging collection of methodologies which aims to exploit tolerance for imprecision, uncertainty, and partial truth to achieve…”
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    Journal Article
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  3. 3

    Improved large-signal performance of paralleled DC-DC converters current sharing by Tomescu, B., Vanlandingham, H.F.

    Published in IEEE transactions on power electronics (01-05-1999)
    “…This paper introduces fuzzy logic control as a technique for significantly improving the large-signal performance of paralleled DC-DC power converters with…”
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    Journal Article
  4. 4

    Self-tuning control of nonlinear systems using neural network adaptive frame wavelets by Lekutai, G., vanLandingham, H.F.

    “…Single layer feedforward neural networks with hidden nodes of adaptive wavelet functions have been successfully demonstrated to have potential in many…”
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    Conference Proceeding
  5. 5

    Neuro-fuzzy multi-model control using Sugeno inference and Kohonen tuning in parameter space by Tomescu, B., VanLandingham, H.F.

    “…A multi-model adaptive control scheme is introduced. It makes use of Kohonen neural structures and Sugeno fuzzy inference in adapting and switching the control…”
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    Conference Proceeding
  6. 6

    On the non-differentiability of fuzzy logic systems by Dadone, P., VanLandingham, H.F.

    “…Tuning the parameters of fuzzy logic systems has become an important issue for their efficient development and utilization. Many techniques, mainly based on…”
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    Conference Proceeding
  7. 7

    Intelligent control applications in the chemical and power industries by VanLandingham, H.F.

    “…Problems found in the electric power and petrochemical industries can be very challenging for control engineers. This paper focuses on two distinct types of…”
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    Conference Proceeding
  8. 8

    An iterative divide and conquer modular neural network model by Azam, F., VanLandingham, H.F.

    “…Artificial neural networks have been successfully used in the areas of speech recognition, computer vision and nonlinear function approximation. However, one…”
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    Conference Proceeding
  9. 9

    An alternate radial basis function neural network model by Azam, F., VanLandingham, H.F.

    “…A new robust RBF neural network model is presented which, when compared with a conventional RBF neural network, has mathematically sound learning properties…”
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    Conference Proceeding
  10. 10

    Fusion of soft computing and hard computing techniques: a review of applications by Ovaska, S.J., Dote, Y., Furuhashi, T., Kamiya, A., VanLandingham, H.F.

    “…Soft computing (SC) is an emerging collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty, and partial truth to achieve…”
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    Conference Proceeding
  11. 11

    A generalized fuzzy adaptive control method by Azam, F., VanLandingham, H.F.

    “…This paper presents and discusses the architecture and learning process of an adaptive fuzzy control methodology. This methodology combines fuzzy decision…”
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    Conference Proceeding Journal Article
  12. 12

    Improved large signal performance of paralleled DC-DC converters current sharing using fuzzy logic control by Tomescu, B., VanLandingham, H.F.

    “…This paper introduces fuzzy logic control as a technique for significantly improving the large signal performance of paralleled DC-DC power converters with…”
    Get full text
    Conference Proceeding
  13. 13

    Evolutionary algorithms for design by VanLandingham, H.F., Sampan, S.

    “…Genetic algorithms are effective optimization tools which work well using bit string encoding, but suffer from intensive computations and limited accuracy. To…”
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    Conference Proceeding
  14. 14

    Knowledge-based adaptive fuzzy control of drum level in a boiler system by VanLandingham, H.F., Tripathi, N.D.

    Published in Southcon/96 Conference Record (1996)
    “…A boiler system is an integral component of a thermal power plant, and control of the water level in the drum of the boiler system is a critical operational…”
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    Conference Proceeding
  15. 15

    An Adaptive Forecasting Algorithm by VanLandingham, H.F., Moose, R.L.

    “…The forecasting of discrete-time random processes with nonstationary statistics has long been recognized as an important problem [1,21. In particular,…”
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    Conference Proceeding
  16. 16

    Multivariable system identification with noisy data by Bingulac, S., VanLandingham, H.F.

    “…The identification procedure presented uses input/output data to establish, not only the system order, but also the minimal number of parameters required for…”
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    Conference Proceeding
  17. 17

    Adaptive handoff algorithms for cellular overlay systems using fuzzy logic by Tripathi, N.D., Reed, J.H., VanLandingham, H.F.

    “…An overlay system is a hierarchical architecture that uses large macrocells to overlay clusters of small microcells. Resource management in the overlay system…”
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    Conference Proceeding
  18. 18

    Soft computing applications in the electric power industry by VanLandingham, H.F., Azam, F.

    “…This paper focuses on two distinct types of problems; namely, sensor redundancy and set-point control. For the latter problem the workhorse of the industry is…”
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    Conference Proceeding
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    Fuzzy logic based adaptive handoff algorithms for microcellular systems by Tripathi, N.D., Reed, J.H., VanLandingham, H.F.

    “…Microcells increase system capacity but make resource management difficult. A fixed parameter handoff algorithm cannot perform uniformly well in various…”
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    Conference Proceeding
  20. 20

    Adaptive, stable fuzzy logic control for paralleled DC-DC converters current sharing by Tomescu, B., VanLandingham, H.F.

    “…This paper introduces a unified, theoretical, approach for the analysis and design of stable, fuzzy logic controllers for master-slave (MS) paralleled DC/DC…”
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    Conference Proceeding