• Title/Summary/Keyword: Makoto

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Optimization of Incinerator Controllers using Artificial Neural Networks

  • Mackin, Kenneth J.;Fukushima, Ryutaro;Fujiyoshi, Makoto
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.334-337
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    • 2003
  • The emission of dioxins from waste incinerators is one of the most important environmental problems today, It is known that optimization of waste incinerator controllers is a very difficult problem due to the complex nature of the dynamic environment within the incinerator. In this paper, we propose applying artificial neural networks to waste incinerator controllers. We show that artificial neural networks can project the emission of dioxins with a fair degree of accuracy.

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Transition Metal-Mediated Living Radical Polymerization toward Precision Functional Polymers via Catalyst Design

  • Sawamoto, Mitsuo;Ouchi, Makoto
    • Proceedings of the Polymer Society of Korea Conference
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    • 2006.10a
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    • pp.93-94
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    • 2006
  • This lecture will present an overview of recent advances in our transition metal-mediated living radical polymerization, particularly focused on catalyst design and precision synthesis of functional polymers. Selected topics will include: (A) Design of Transition Metal Complexes: Evolution of Catalysts (B) New Ruthenium and Iron Catalysts: Active and Versatile (C) Functional Methacrylates for Advanced Functional Polymers (D) Functional Star Polymers: Microgel Cores for Metal Catalysts.

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A Simple Robust Tracking Controller for Robot Manipulators Using Joint Position Measurements Contaminated by Noises

  • Wada, Makoto;Oya, Masahiro;Sagara, Shinichi;Kobayashi, Toshihiro
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.147.2-147
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    • 2001
  • In this paper we develop a new robust trajectory tracking control scheme without using joint velocity. The proposed controller doesn´t employ adaptation, Therefore, the construction of the controller becomed very simple. Moreover, by using numerical simulation, we make sure the effectiveness of the proposed controller in the presence of quantization errors.

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