Search Results - "Ishigame, A."

Particle Swarm Optimization Considering the Concept of Predator-Prey Behavior by Higashitani, M., Ishigame, A., Yasuda, K.

“…Recently, a variety of optimization algorithms has developed as systems get complicated. One of those is called Particle Swarm Optimization (PSO). PSO is an…”
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Sliding mode controller design based on fuzzy inference for nonlinear systems (power systems) by Ishigame, A., Furukawa, T., Kawamoto, S., Taniguchi, T.

“…Sliding-mode control can deal with nonlinearities of control systems and is robust. However, it has drawbacks, such as high control gain effect and control…”
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Structural control of electric power networks for transient stability by Zhao, J., Ishigame, A., Kawamoto, S., Taniguchi, T.

“…This paper presents a sensitivity-based approach for structural control of electric power networks using FACTS (flexible AC transmission system) devices in…”
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A Lyapunov function for power system including induction machine dynamics by Ishigame, A., Taniguchi, T.

“…This paper presents a Lyapunov function for power system considering with dynamics of induction machine characteristic by the state function method. In the…”
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Transient stability analysis for power system using Lyapunov function with load characteristics by Ishigame, A., Taniguchi, T.

“…This paper presents constructing Lyapunov function of power system for estimating transient stability considering with load dynamics characteristics. An…”
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Transient stability assessment for power system via Lur'e type Lyapunov function by Sakaguchi, H., Ishigame, A., Suzaki, S.

“…This work presents a transient stability assessment by constructing a Lyapunov function for multimachine power system considering AVR control system…”
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Neuro stabilizing control based on Lyapunov method for power system by Hirata, N., Ishigame, A., Nishigaito, H.

“…This paper develops a nonlinear stabilizing method for power systems. As one such method, we consider neuro stabilizing control based on the Lyapunov method…”
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Basic study of proximate optimality principle based combinatorial optimization method by Yaguchi, K., Tamura, K., Yasuda, K., Ishigame, A.

“…This paper proposes a new method for solving combinatorial optimization problems on the basis of Proximate Optimality Principle (POP). The proposed method has…”
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A state estimation method for photovoltaic power generation using independent component analysis by Ishigame, A., Matsuda, M., Genji, T.

“…A large number of Photovoltaic Generations (PVs) are expected to be introduced in distribution systems (D/Ss). Therefore the state estimation is important…”
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Particle swarm optimization based on the concept of tabu search by Nakano, S., Ishigame, A., Yasuda, K.

“…This paper presents a new Particle Swarm Optimization based on the concept of Tabu Search (TS-PSO). In PSO, when a particle finds a local optimal solution, all…”
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Similarity measure of proximate optimality principle and Multi-Point Tabu Search by Jinnai, H., Yasuda, K., Ishigame, A.

“…This paper proposes a new method, multi-point Tabu search, for solving combinatorial optimization problems on the basis of the concept of Proximate optimality…”
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An approach to stability analysis of second order fuzzy systems by Kawamoto, S., Tada, K., Ishigame, A., Taniguchi, T.

“…The stability of fuzzy systems can be discussed by the theorem of K. Tanaka and M. Sugeno (1990). However, it is difficult to find the common positive definite…”
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A solution of combinatorial optimization problem by uniting genetic algorithms with Hopfield's model by Shirai, H., Ishigame, A., Kawamoto, S., Taniguchi, T.

“…It is important to solve a combinatorial optimization problem because of its utility. In this paper, the authors propose a method of solving combinatorial…”
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Robustness and stability margin of dynamical systems with structured uncertainties by Kawamoto, S., Ishigame, A., Taniguchi, T.

“…In this paper, robustness and stability margin of linear or nonlinear systems are discussed. First, the robustness in linear or nonlinear dynamical systems…”
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Fuzzy optimal controller design based on neural network for nonlinear systems by Ishigame, A., Kawamoto, S., Taniguchi, T.

“…A method of constructing a fuzzy optimal controller for nonlinear systems is proposed. The method is based on a fuzzy model and is intended to give optimal…”
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Particle swarm optimization with hierarchical structure by Ishigame, A

“…This paper proposes a Particle Swarm Optimization (PSO) with hierarchical structure. In the proposed method, Particles are separated into some groups, and…”
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Lyapunov function construction for a power system including induction machine dynamic characteristics by Ishigame, Atsushi, Taniguchi, Tsuneo

“…This paper presents a systematic procedure of constructing a Lyapunov function for power systems with induction machine dynamics characteristics by the state…”
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Multi-point Tabu Search based on Proximate Optimality Principle by Niizuma, D., Yasuda, K., Ishigame, A.

“…This paper proposes an algorithm - multi-point tabu search based on proximate optimality principle (POP) - which has several advantages for solving…”
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Neural Stabilizing Controller Based on Co-evolutionary Predator-Prey Particle Swarm Optimization by Ishigame, A., Higashitani, M., Yasuda, K.

“…In this paper, an approach based on particle swarm optimization (PSO) and Lyapunov method to construct neural stabilizing controller is presented. The…”
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Design of electric power system stabilizer based on fuzzy control theory by Ishigame, A., Ueda, T., Kawamoto, S., Taniguchi, T., Kikuta, M.

“…The authors present a method of constructing simple fuzzy control rules for controllers of electric power systems, by simplifying variables of condition parts…”
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