著者
信川 創 西村 治彦 堅田 尚郁
出版者
一般社団法人 システム制御情報学会
雑誌
システム制御情報学会 研究発表講演会講演論文集 第51回システム制御情報学会研究発表講演会
巻号頁・発行日
pp.13, 2007 (Released:2008-06-16)

微弱な信号に対する非線形システムの応答性がノイズの存在下で増強される現象 として,確率共鳴が知られている.これに対して本研究では,非線形システムの典型例であるカオスニューロン系が示すカオスによる決定論的共鳴現象について検討する.シミュレーションによる詳細な解析を行った結果,微弱な外部信号に対する高感度な検出能力が確認された.この性質はノイズフリーな状況において出現するものであり,従来の白色ノイズの存在下で生じる確率共鳴とは大きく異なっている.
著者
高橋 理 駒谷 喜代俊 田村 坦之
出版者
一般社団法人 システム制御情報学会
雑誌
システム制御情報学会論文誌 (ISSN:13425668)
巻号頁・発行日
vol.16, no.7, pp.313-320, 2003-07-15 (Released:2011-10-13)
参考文献数
12

Software engineering organizations now tend to improve their processes according to such standards as CMM (Capability Maturity Model), a process evaluation model, in addition to improving their software products. This is because it is believed that mature engineering processes can bring high-quality products within the original schedule. It is reported, however, that the result of the improvement activities is strongly related with engineer satisfaction for the process, that is, effective improvement can be expected on the phases where engineers have not been satisfied with. This paper proposes a method to evaluate how much engineers feel the current engineering process needs to be improved, with Descriptive AHP (Descriptive Analytic Hierarchy Process), one of decision making tools. Our method, based on the idea that the necessity evaluation can be related with engineers satisfaction, evaluates four engineering phases under six criteria defined at CMM Level 2, determining which phases should be improved first. As a result of having system engineers use this method, we found that quality assurance activities in the manufacturing and examination phases need to be superior for improvement to other phases.
著者
久保田 直行 佐々木 裕宣
出版者
一般社団法人 システム制御情報学会
雑誌
システム制御情報学会論文誌 (ISSN:13425668)
巻号頁・発行日
vol.19, no.3, pp.87-95, 2006-03-15 (Released:2011-10-13)
参考文献数
20

Recently, embodied cognition for robotics has been discussed, and various types of artificial neural networks are applied for behavior learning of robots in unknown and dynamic environments. In this paper, we propose behavioral learning based on a fuzzy spiking neural network to realize high adaptability of a mobile robot. However, the behavioral leaning capability of the robot depends strongly on the network structure. Therefore, we apply a genetic algorithm to acquire the network structure suitable to the changing environment. Finally, we discuss the effectiveness of the proposed method through experimental results on behavioral learning for collision avoidance and target tracing in a dynamic environment.
著者
岡島 寛 浅井 徹
出版者
一般社団法人 システム制御情報学会
雑誌
システム制御情報学会論文誌 (ISSN:13425668)
巻号頁・発行日
vol.20, no.1, pp.39-49, 2007-01-15 (Released:2011-10-13)
参考文献数
8
被引用文献数
4 2

This paper deals with trajectory tracking control for non-minimum phase systems. We first consider to characterize output such that it tracks to a given reference signal asymptotically and that the corresponding input is bounded. In particular, we parameterize the error signals between the reference and the achievable output by using Q-parameters in the frequency domain. Since the parameterized set consists of rational functions which are analytic in the closed right half plane, we can solve easily the problem to minimize theL2norm of the error and the analytic solution of the optimal error is obtained. The optimal output is the projection of the reference to the space of achievable outputs. By using the parameterization, the simultaneous optimization of the error and the input deviation from the steady state input can be also solved. The effectiveness of the proposed method is examined by numerical examples.
著者
吉崎 亮介 川田 昌克 伊藤 稔
出版者
一般社団法人 システム制御情報学会
雑誌
システム制御情報学会論文誌 (ISSN:13425668)
巻号頁・発行日
vol.28, no.2, pp.41-49, 2015-02-15 (Released:2015-05-15)
参考文献数
24
被引用文献数
3 3

The arm-driven inverted pendulum is an unstable and nonlinear system. Therefore, the feedback controller designed by the linear control theory cannot be stabilized in the wide range. This paper discusses a nonlinear control design based on the optimal regulator problem. However, it is difficult to get the analysis solution for this problem. In this paper, DE (Differential Evolution) and PSO (Particle Swarm Optimization) methods are used to get an approximate solution. In addition to the first order feedback gain designed by the linear optimal regulator, we design the higher order gain. Finally, the validity of our nonlinear controller designed by DE is verified through some experiments.
著者
傅 貴 趙 勇 三宮 信夫
出版者
一般社団法人 システム制御情報学会
雑誌
システム制御情報学会論文誌 (ISSN:13425668)
巻号頁・発行日
vol.16, no.5, pp.234-241, 2003
被引用文献数
2

A genetic algorithm (GA) is proposed to solve no-buffer jobshop scheduling problems. In the case of applying the standard GA to these problems, no-buffer constraint leads to a deadlock state in the meaning that an operation cannot be processed on the next machine in a pre-defined machine sequence. Because it causes many infeasible solutions, the standard GA cannot perform an efficient search. In this paper, we propose a new semi-active decoding method which avoids the deadlock to generate a feasible solution. Computer experiments on some modified benchmark problems show that the proposed GA performs efficient search and obtains equivalent or better schedules than other algorithms proposed previously.
著者
阿瀬 始 片山 徹
出版者
一般社団法人 システム制御情報学会
雑誌
システム制御情報学会 研究発表講演会講演論文集
巻号頁・発行日
vol.7, pp.262, 2007

線形動的システムの後に静的非線形関数が結合したWienerシステムに対し、線形動的システムを状態空間モデルで表現し、静的非線形関数については逆関数の存在を仮定して基底関数展開し、状態空間モデルのシステム行列と基底関数展開の係数とを交互に反復しながら推定する方法を開発した。予測誤差最小化の枠組みにおける状態空間モデルのシステム同定のためのパラメトリゼーションは積年の課題であるが、フルパラメトリゼーションの欠点を克服するデータ駆動局所座標(DDLC)を応用した。