Toru Fujinaka

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In this paper, an intelligent electronic nose (EN)system designed using cheap metal oxide gas sensors (MOGS) is designed to detect fires at an early stage. The time series signals obtained from the same source of fire are highly correlated, and different sources of fire exhibit unique patterns in the time series data. Therefore, the error back propagation(More)
Intelligent control using neural network has been applied to various control problems[ I]-[4]. It is known to be effective in many situations, especially when the controlled plant exhibits nonlinearity, and the plant parameters are unknown or time-varying. On the other hand, PID controller has been used as a major control method for real control problems.(More)
Recently, new stability analysis and controller synthesis methods based on non-common Lyapunov matrices are proposed. In this paper, we give another simple and easy proof for them using redundant descriptor form. Furthermore, we propose a sufficient condition for stability of slowly time-varying systems that have real rational uncertainties using the(More)
In this paper, a reliable electronic nose (EN) system designed from the combination of various metal oxide gas sensors (MOGS) is applied to the detection of fire resulting from various sources at an early stage. The time series signals obtained from the same source of lire are highly correlated, and different sources of lire exhibit unique patterns in the(More)