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Dive into the research topics where Takeshi Fukao is active.

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Featured researches published by Takeshi Fukao.


Bellman Prize in Mathematical Biosciences | 1977

A model of mass and energy flow in ecosystems

Hironori Hirata; Takeshi Fukao

Abstract Ulanowicz and May propose a global closed ecosystem model from the viewpoint of mass and energy flow. They show a necessary and sufficient (or sufficient) condition for ecosystem stability, and explain a certain rule which is derived from field data. But their papers both contain a physical mistake: Mass does not circulate in the correct direction under the stability condition. In this paper two modifications of Ulanowicz and Mays models, in which the mistake is eliminated, are proposed to explain the rule, and a necessary and sufficient stability condition is shown.


Information & Computation | 1970

Optimal linear fixed-interval smoothing for colored noise

Shohei Fujita; Takeshi Fukao

A convenient canonical form of the optimal fixed-interval smoother and its error covariance matrix are derived for the continuous linear systems with the colored measurement noise. The technique of state augmentation is not used so that the proposed smoother has the same dimension as that of the original state vector to be estimated, which is especially convenient for the higher dimensional system from the computational aspect. It turns out that in the smoothing solution for colored noise it is required to retain the original measurements in addition to the filtering solution. An interesting special case where the signal and the noise processes have the identical statistical property is discussed. In this case no improved estimate is obtained by smoothing the measurements. This fact is interpreted physically in terms of observability. It is also pointed out that the proposed smoothing solution remains valid when the measurements contain no noise.


Bellman Prize in Mathematical Biosciences | 1978

Coexistence of competing species over a linear habitat of finite length

Koichi Harada; Takeshi Fukao

Abstract The coexistence of two competing species over a linear habitat of finite length is investigated by considering the nonlinear effect. Approximate conditions for the coexistence of these species are derived by means of the fundamental mode of spatial variation. The approximation in theoretical computations is assessed by computer simulation.


systems man and cybernetics | 1978

A Macromodel of Mass and Energy Flow in Production Processes

Hironori Hirata; Takeshi Fukao

A simple macromodel of mass and energy flow in production processes is proposed. The importance of mass recycling in production processes, i.e., mass reutilization for production, is pointed out. This type of model has a possibility of further extension to study the properties of production processes.


Automatica | 1972

1971 kyow symposium paper: Optimal stochastic control for discrete-time linear system with interrupted observations

Shohei Fujita; Takeshi Fukao


Electronics and Communications in Japan Part I-communications | 1988

Stochastic distributed optimization algorithm

Takeshi Fukao; Zhao Yue


Journal of the Society of Instrument and Control Engineers | 1976

On Reachability of Quantized Control System

Juichi Miyamichi; Takeshi Fukao


Electrical Engineering in Japan | 1982

An extension of diakoptics and its application to singular decomposition problem of networks

Takeshi Fukao; Eiichi Teratsuji


Electrical Engineering in Japan | 1978

A calculation method for power system transient stability using decomposition technique

Nguyen ngoc Duyen; Takeshi Fukao


Archive | 1988

Distributed computing of a stochastic algorithm for combinatorial optimization problems

Ziiao Yue; Takeshi Fukao

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Hironori Hirata

Tokyo Institute of Technology

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Shohei Fujita

Tokyo Institute of Technology

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Nguyen ngoc Duyen

Tokyo Institute of Technology

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Eiichi Teratsuji

Tokyo Institute of Technology

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Yasuo Sugai

Tokyo Institute of Technology

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Yutaka Nakada

Tokyo Institute of Technology

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Zhao Yue

Tokyo Institute of Technology

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Ziiao Yue

Tokyo Institute of Technology

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