Takumi Ozaki

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* College of Information Science & Engineering, Central South University, Changsha, 410083, China. Currently a visiting researcher at the Institute of Statistical Mathematics, 4-6-7 Minami Azabu, Minato-ku, Tokyo 106-8569, Japan. Fax: +81-3-5421-8796, E-mail: peng@ism.ac.jp ** The Institute of Statistical Mathematics, 4-6-7 Minami Azabu, Minato-ku, Tokyo(More)
In this paper, we propose an office layout evaluation system for normal use and emergency by multiagent. The proposed system evaluates office layout plans generated by the office layout support system using genetic algorithm. This office layout support system can generate layout plans which satisfy some conditions given by users. However, the flow of office(More)
For nonlinear thermal power plants whose dynamics vary with load demand, a load-dependent exponential ARX (Exp-ARX) model which can exactly describes the nonlinear properties of the plants is presented. The Exp-ARX model requires only off-line identification. Based on the model, a constrained multivariable generalized predictive control (CMGPC) strategy is(More)
This paper considers modeling and control problems of the non-stationary nonlinear processes whose dynamics depends on the working point. A hybrid RBF-ARX model-based predictive control (MPC) strategy without resorting to on-line parameter estimation for this kind of processes is presented. The RBF-ARX model is composed of the RBF networks and a rather(More)
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