Search Results - "Patino, H.D."

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  1. 1

    Neural networks for advanced control of robot manipulators by Patino, H.D., Carelli, R., Kuchen, B.R.

    Published in IEEE transactions on neural networks (01-03-2002)
    “…Presents an approach and a systematic design methodology to adaptive motion control based on neural networks (NNs) for high-performance robot manipulators, for…”
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    Journal Article
  2. 2

    Neural network-based model reference adaptive control system by Patino, H.D., Liu, D.

    “…In this paper, an approach to model reference adaptive control based on neural networks is proposed and analyzed for a class of first-order continuous-time…”
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    Journal Article
  3. 3

    An approach to benchmarking of loosely coupled low-cost navigation systems by González, R., Giribet, J.I., Patiño, H.D.

    “…New solutions to the navigation problem related to low-cost integrated navigation systems (INS) are often published. Since these new solutions are generally…”
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    Journal Article
  4. 4

    New Evolutionary Algorithm based on the Mathematical Modeling of the Evolution of a Species by De La Cruz, C., Patino, H.D., Carelli, R.

    Published in Revista IEEE América Latina (01-10-2005)
    “…This work presents an abstract approach of a mathematical analysis of the evolution of a species. A mathematical model is proposed as well that characterizes…”
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    Journal Article
  5. 5

    Short-series Prediction with BEMA Approach: application to short rainfall series by Rivero, C.R., Pucheta, J.A., Baumgartner, J.S., Laboret, S.O., Sauchelli, V.H., Patino, H.D.

    Published in Revista IEEE América Latina (01-08-2016)
    “…This paper contributes with short time series prediction for complete and incomplete datasets based on a new framework by means of Bayesian enhanced modified…”
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    Journal Article
  6. 6
  7. 7

    New Evolutionary Algorithm based on Mathematical Model of Evolution of a Species by De La Cruz, C., Patino, H.D., Carelli, R.

    “…This work presents an approach to the abstract mathematical analysis of the evolution of a species. A mathematical model is proposed as well that characterizes…”
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    Conference Proceeding
  8. 8

    Optimal Control-Based Neurocontroller for Crop Growth in Greenhouse by Pucheta, J.A., Patino, H.D., Schugurensky, C., Fullana, R., Kuchen, B.

    “…In this paper, a neuro-dynamic programming-based optimal controller is proposed to drive the crop development in greenhouse systems. The neurocontroller drives…”
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    Conference Proceeding
  9. 9

    Mobile robot self-localization system using IR-UWB sensor in indoor environments by Segura, M.J., Mut, V.A., Patino, H.D.

    “…Robot localization is a fundamental problem in mobile robotics. This paper proposes the use of a new type of sensor that permits accurate localization in…”
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    Conference Proceeding
  10. 10

    Wavelet correlation TOA estimation with dynamic threshold setting for IR-UWB localization system by Segura, M.J., Mut, V.A., Patino, H.D.

    “…Impulse radio (IR) Ultra Wide-Band (UWB) has gained great interest recently for indoor location and tracking applications. Due to its high bandwidth and short…”
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    Conference Proceeding
  11. 11

    Adaptive Critic Designs-based autonomous unmanned vehicles navigation: Application to robotic farm vehicles by Patino, H.D., Tosetti, S., Capraro, F.

    “…This paper addresses the problem of generating autonomously an optimal control action sequence for robotic autonomous unmanned vehicles based on adaptive…”
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    Conference Proceeding
  12. 12

    Approximate Optimal Control-Based Neurocontroller with a State Observation System for Seedlings Growth in Greenhouse by Patino, H.D., Pucheta, J.A., Schugurensky, C., Fullana, R., Kuchen, B.

    “…In this paper, an approximate optimal control-based neurocontroller for guiding the seedlings growth in greenhouse is presented. The main goal of this approach…”
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    Conference Proceeding
  13. 13

    Neural network-based optimal control for autonomous mobile vehicle navigation by Patino, H.D., Carelli, R.

    “…This work addresses the problem of generating autonomously an optimal control action sequence for an autonomous vehicle based on artificial neural networks…”
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    Conference Proceeding
  14. 14

    Adaptive critic designs for self-learning ship steering control by Liu, D., Patino, H.D.

    “…Addresses the problem of generating autonomously an optimal control action sequence for ship steering control based on adaptive critic designs. The principal…”
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    Conference Proceeding