Hirotaka Kaji

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Digital control problems for dynamically positioned ships are considered by nonlinear sampled-data control theory based on Euler approximate models. State feedback laws that guarantee semeglobal practical asymptotic (SPA) stability of ships are designed. Then the reference signals for the position and the attitude of ships are introduced and state feedback(More)
Most real world problems can be formulated as multi-objective optimization problems (MOPs) because they have various competing objectives. Engine calibration, which is the tuning process of controller parameters in automotive engine development, is such a problem. In the engine calibration, a set of MOPs depending on plural operating conditions such as(More)
Experiment-based optimization using Evolutionary Algorithms (EAs) is a promising approach for real world problems in which construction of simulation models is difficult. When using EAs, three difficulties have to be considered. Currently, two difficulties, uncertainty of the evaluation value and limitation of the number of evaluations, are active research(More)
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