2025/03/25 更新

写真a

ハヤカワ　トモヒサ
早川　朋久
HAYAKAWA TOMOHISA
所属
工学院 准教授
職名
准教授
外部リンク

News & Topics

学位

  • Ph.D. （ Georgia Institute of Technology ）

研究キーワード

  • Adaptive control

  • dynamical systems theory

  • 適応制御

  • ダイナミカルシステム理論

研究分野

  • ものづくり技術（機械・電気電子・化学工学） / 制御、システム工学

学歴

  • Georgia Institute of Technology   Aerospace Engineering

    - 2003年

    　 詳細を見る

    国名： アメリカ合衆国

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  • Georgia Institute of Technology   Aerospace Engineering

    - 2003年

    　 詳細を見る

    国名： アメリカ合衆国

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経歴

  • -:東京工業大学 情報理工学研究科情報環境学専攻 助教授

    2006年

    　 詳細を見る

  • -:Tokyo Institute of Technology Department of Mechanical and Environmental Informatics Associate Professor

    2006年

    　 詳細を見る

  • :科学技術振興機構 CREST研究員

    2004年 - 2005年

    　 詳細を見る

  • :Japan Science and Technology Agency Research Fellow

    2004年 - 2005年

    　 詳細を見る

  • :京都大学 大学院工学研究科航空宇宙工学専攻 21世紀COE研究員

    2004年

    　 詳細を見る

  • :Kyoto University Department of Aerospace Engineering Research Fellow

    2004年

    　 詳細を見る

▼全件表示

所属学協会

▼全件表示

MISC

  • Adaptive quantized control for nonlinear uncertain systems

    Tomohisa Hayakawa, Hideaki Ishii, Koji Tsumura

    SYSTEMS & CONTROL LETTERS   58 ( 9 )   625 - 632   2009年9月

    　詳細を見る

    記述言語：英語   出版者・発行元：ELSEVIER SCIENCE BV  

    A direct adaptive control framework for nonlinear uncertain systems with input quantizers is developed. The proposed framework is Lyapunov-based and guarantees global ultimate boundedness (practical stability) of the closed-loop system. Specifically, the input quantizers are logarithmic and characterized by sector-bound conditions with the conic sector adjusted at each time instant by the adaptive controller in conjunction with the system response. Furthermore, for practical reasons we assume that the input logarithmic quantizers have deadzone around zero control input and we consider quantizer switching. Finally, a numerical example is provided to demonstrate the efficacy of the proposed approach. (C) 2009 Elsevier B.V. All rights reserved.

    DOI： 10.1016/j.sysconle.2008.12.007

    Web of Science

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  • Adaptive quantized control for linear uncertain discrete-time systems

    Tomohisa Hayakawa, Hideaki Ishii, Koji Tsumura

    Automatica   45 ( 3 )   692 - 700   2009年3月

    　詳細を見る

    記述言語：英語  

    A direct adaptive control framework for linear uncertain systems for using communication channels is developed. Specifically, the control signals are to be quantized and sent over a communication channel to the actuator. The proposed framework is Lyapunov-based and guarantees partial asymptotic stability, that is, Lyapunov stability of the closed-loop system states and attraction with respect to the plant states. The quantizers are logarithmic and characterized by sector-bound conditions, with the conic sectors adjusted at each time instant by the adaptive controller, in conjunction with the system response. Furthermore, we extend the scheme to the case where the logarithmic quantizer has a deadzone around the origin so that only a finite number of quantization levels is required to achieve practical stability. Finally, a numerical example is provided to demonstrate the efficacy of the proposed approach. © 2008 Elsevier Ltd. All rights reserved.

    DOI： 10.1016/j.automatica.2008.07.005

    Scopus

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  • Adaptive quantized control for linear uncertain discrete-time systems

    Tomohisa Hayakawa, Hideaki Ishii, Koji Tsumura

    AUTOMATICA   45 ( 3 )   692 - 700   2009年3月

    　詳細を見る

    記述言語：英語   出版者・発行元：PERGAMON-ELSEVIER SCIENCE LTD  

    A direct adaptive control framework for linear uncertain systems for using communication channels is developed. Specifically, the control signals are to be quantized and sent over a communication channel to the actuator. The proposed framework is Lyapunov-based and guarantees partial asymptotic stability, that is, Lyapunov stability of the closed-loop system states and attraction with respect to the plant states. The quantizers are logarithmic and characterized by sector-bound conditions, with the conic sectors adjusted at each time instant by the adaptive controller, in conjunction with the system response. Furthermore, we extend the scheme to the case where the logarithmic quantizer has a deadzone around the origin so that only a finite number of quantization levels is required to achieve practical stability. Finally, a numerical example is provided to demonstrate the efficacy of the proposed approach. (C) 2008 Elsevier Ltd. All rights reserved.

    DOI： 10.1016/j.automatica.2008.07.005

    Web of Science

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  • Neural network hybrid adaptive control for nonlinear uncertain impulsive dynamical systems

    Tomohisa Hayakawa, Wassim M. Haddad, Konstantin Y. Volyanskyy

    NONLINEAR ANALYSIS-HYBRID SYSTEMS   2 ( 3 )   862 - 874   2008年8月

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    記述言語：英語   出版者・発行元：ELSEVIER SCI LTD  

    A neural network hybrid adaptive control framework for nonlinear uncertain hybrid dynamical systems is developed. The proposed hybrid adaptive control framework is Lyapunov-based and guarantees partial asymptotic stability of the closed-loop hybrid system; that is, asymptotic stability with respect to part of the closed-loop system states associated with the hybrid plant states. A numerical example is provided to demonstrate the efficacy of the proposed hybrid stabilization approach. (C) 2008 Elsevier Ltd. All rights reserved.

    DOI： 10.1016/j.nahs.2008.01.002

    Web of Science

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  • Neural network adaptive control for a class of nonlinear uncertain dynamical systems with asymptotic stability guarantees

    Tomohisa Hayakawa, Wassim A. Haddad, Naira Hovakimyan

    IEEE TRANSACTIONS ON NEURAL NETWORKS   19 ( 1 )   80 - 89   2008年1月

    　詳細を見る

    記述言語：英語   出版者・発行元：IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC  

    In this paper, a neuroadaptive control framework for continuous- and discrete-time nonlinear uncertain dynamical systems with input-to-state stable internal dynamics is developed. The proposed framework is Lyapunov based and unlike standard neural network (NN) controllers guaranteeing ultimate boundedness, the framework guarantees partial asymptotic stability of the closed-loop system, that is, asymptotic stability with respect to part of the closed-loop system states associated with the system plant states. The neuroadaptive controllers are constructed without requiring explicit knowledge of the, system dynamics other than the assumption that the plant dynamics are continuously differentiable and that the approximation error of uncertain system nonlinearities lie in a small gain-type norm bounded conic sector. This allows us to merge robust control synthesis tools with NN adaptive control tools to guarantee system stability. Finally, two illustrative numerical examples are provided to demonstrate the efficacy of the proposed approach.

    DOI： 10.1109/TNN.2007.902704

    Web of Science

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  • Neural network adaptive output feedback control for intensive care unit sedation and intraoperative anesthesia

    Wassim M. Haddad, James M. Bailey, Tomohisa Hayakawa, Naira Hovakimyan

    IEEE TRANSACTIONS ON NEURAL NETWORKS   18 ( 4 )   1049 - 1066   2007年7月

    　詳細を見る

    記述言語：英語   出版者・発行元：IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC  

    The potential applications of neural adaptive control for pharmacology, in general, and anesthesia and critical care unit medicine, in particular, are clearly apparent. Specifically, monitoring and controlling the depth of anesthesia in surgery is of particular importance. Nonnegative and compartmental models provide a broad framework for biological and physiological systems, including clinical pharmacology, and are well suited for developing models for closed-loop control of drug administration. In this paper, we develop a neural adaptive output feedback control framework for nonlinear uncertain nonnegative and compartmental systems with nonnegative control inputs. The proposed framework is Lyapunov-based and guarantees ultimate boundedness of the error signals. In addition, the neural adaptive controller guarantees that the physical system states remain in the nonnegative orthant of the state space. Finally, the proposed approach is used to control the infusion of the anesthetic drug propofol for maintaining a desired constant level of depth of anesthesia for noncardiac surgery.

    DOI： 10.1109/TNN.2007.899164

    Web of Science

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  • Direct adaptive control for nonlinear matrix second-order systems with time-varying and sign-indefinite damping and stiffness operators

    Wassim M. Haddad, Tomohisa Hayakawa, Michael C. Stasko

    ASIAN JOURNAL OF CONTROL   9 ( 1 )   11 - 19   2007年3月

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    記述言語：英語   出版者・発行元：CHINESE AUTOMATIC CONTROL SOC  

    A direct adaptive control framework for a class of nonlinear matrix second-order systems with time-varying and sign-indefinite damping and stiffness operators is developed. The proposed framework guarantees global asymptotic stability of the closed-loop system states associated with the plant dynamics without requiring any knowledge of the system nonlinearities other than the assumption that they are continuous and bounded. The proposed adaptive control approach is used to design adaptive controllers for suppressing thermoacoustic oscillations in combustion chambers.

    Web of Science

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  • マルチエージェントシステムとビークルフォーメーション

    早川朋久, 藤田政之

    計測と制御   46 ( 11 )   823 - 828   2007年

    　詳細を見る

    記述言語：日本語   出版者・発行元：The Society of Instrument and Control Engineers  

    DOI： 10.11499/sicejl1962.46.823

    CiNii Books

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    その他リンク： https://jlc.jst.go.jp/DN/JALC/00303263911?from=CiNii

  • Multi-agent System and Vehicle Formation

    Tomohisa Hayakawa, Masayuki FUJITA

    46 ( 11 )   823 - 828   2007年

    　詳細を見る

  • Adaptive control for nonlinear nonnegative dynamical systems with applications to clinical pharmacology

    W. M, Haddad T, Hayakawa, J, M. Bailey

    Syst. Contr. Lett.   55 ( 1 )   62 - 70   2006年

    　詳細を見る

  • Bispectral Index を用いた麻酔薬の適応投与制御

    早川朋久

    計測と制御, 計測自動制御学会   11 ( 45 )   966 - 971   2006年

    　詳細を見る

    記述言語：日本語   出版者・発行元：The Society of Instrument and Control Engineers  

    DOI： 10.11499/sicejl1962.45.966

    CiNii Books

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    その他リンク： https://jlc.jst.go.jp/DN/JALC/00287566152?from=CiNii

  • Adaptive control for nonlinear nonnegative dynamical systems with applications to clinical pharmacology

    W. M, Haddad T, Hayakawa, J, M. Bailey

    Syst. Contr. Lett.   55 ( 1 )   62 - 70   2006年

    　詳細を見る

  • Hybrid adaptive control for non-linear uncertain impulsive dynamical systems

    WM Haddad, T Hayakawa, SG Nersesov, Chellaboina, V

    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING   19 ( 6 )   445 - 469   2005年8月

    　詳細を見る

    記述言語：英語   出版者・発行元：JOHN WILEY & SONS LTD  

    A direct hybrid adaptive control framework for non-linear uncertain hybrid dynamical systems is developed. The proposed hybrid adaptive control framework is Lyapunov-based and guarantees partial asymptotic stability of the closed-loop hybrid system; that is, asymptotic stability with respect to part of the closed-loop system states associated with the hybrid plant states. Furthermore, hybrid adaptive controllers guaranteeing attraction of the closed-loop system plant states are also developed. Finally, two numerical examples are provided to demonstrate the efficacy of the proposed hybrid adaptive stabilization approach. Copyright (c) 2004 John Wiley & Sons, Ltd.

    DOI： 10.1002/acs.848

    Web of Science

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  • Neural network adaptive control for nonlinear nonnegative dynamical systems

    T Hayakawa, WM Haddad, N Hovakimyan, Chellaboina, V

    IEEE TRANSACTIONS ON NEURAL NETWORKS   16 ( 2 )   399 - 413   2005年3月

    　詳細を見る

    記述言語：英語   出版者・発行元：IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC  

    Nonnegative and compartmental dynamical system models are derived from mass and energy balance considerations that involve dynamic states whose values are nonnegative. These models are widespread in engineering and life sciences and typically involve the exchange of nonnegative quantities between subsystems or compartments wherein each compartment is assumed to be kinetically homogeneous. In this paper, we develop a full-state feedback neural adaptive control framework for adaptive set-point regulation of nonlinear uncertain nonnegative and compartmental systems. The proposed framework is Lyapunov-based and guarantees ultimate boundedness of the error signals corresponding to the physical system states and the neural network weighting gains. In addition, the neural adaptive controller guarantees that the physical system states remain in the nonnegative orthant of the state-space for nonnegative initial conditions.

    DOI： 10.1109/TNN.2004.841791

    Web of Science

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  • Passivity-based neural network adaptive output feedback control for nonlinear nonnegative dynamical systems

    T Hayakawa, WM Haddad, JM Bailey, N Hovakimyan

    IEEE TRANSACTIONS ON NEURAL NETWORKS   16 ( 2 )   387 - 398   2005年3月

    　詳細を見る

    記述言語：英語   出版者・発行元：IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC  

    The potential clinical applications of adaptive neural network control for pharmacology in general, and anesthesia and critical care unit medicine in particular, are clearly apparent. Specifically, monitoring and controlling the depth of anesthesia in surgery is of particular importance. Nonnegative and compartmental models provide a broad framework for biological and physiological systems, including clinical pharmacology, and are well suited for developing models for closed-loop control of drug administration. In this paper, we develop a neural adaptive output feedback control framework for adaptive set-point regulation of nonlinear uncertain nonnegative and compartmental systems. The proposed framework is Lyapunov-based and guarantees ultimate boundedness of the error signals corresponding to the physical system states and the neural network weighting gains. The approach is applicable to nonlinear nonnegative systems with unmodeled dynamics of unknown dimension and guarantees that the physical system states remain in the nonnegative orthant of the state-space for nonnegative initial conditions. Finally, a numerical example involving the infusion of the anesthetic drug midazolam for maintaining a desired constant level of depth of anesthesia for noncardiac surgery is provided to demonstrate the efficacy of the proposed approach.

    DOI： 10.1109/TNN.2004.841782

    Web of Science

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  • Adaptive control of mammillary drug delivery systems with actuator amplitude constraints and system time delays

    W. M. Hadda, Q. Hui, V. Chellaboina, T. Hayakawa

    Eur. J. Contr., vol. 11, no. 6, 2005.   11 ( 6 )   586 - 600   2005年

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  • Adaptive control of mammillary drug delivery systems with actuator amplitude constraints and system time delays

    W. M. Hadda, Q. Hui, V. Chellaboina, T. Hayakawa

    Eur. J. Contr., vol. 11, no. 6, 2005.   11 ( 6 )   586 - 600   2005年

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  • Adaptive control for nonlinear nonnegative dynamical systems

    WM Haddad, T Hayakawa

    AUTOMATICA   40 ( 9 )   1637 - 1642   2004年9月

    　詳細を見る

    記述言語：英語   出版者・発行元：PERGAMON-ELSEVIER SCIENCE LTD  

    Nonnegative and compartmental models are widespread in engineering systems and life sciences and play a key role in the understanding of these systems. In this paper, we develop a direct adaptive control framework for nonlinear uncertain nonnegative and compartmental dynamical systems. The proposed framework is Lyapunov-based and guarantees partial asymptotic set-point regulation; that is, asymptotic set-point regulation with respect to part of the closed-loop system states associated with the plant. In addition, the adaptive controller guarantees that the physical system states remain in the nonnegative orthant of the state space. (C) 2004 Elsevier Ltd. All rights reserved.

    DOI： 10.1016/j.automatica.2004.03.006

    Web of Science

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  • A Lyapunov-based adaptive control framework for discrete-time non-linear systems with exogenous disturbances

    T Hayakawa, WM Haddad, A Leonessa

    INTERNATIONAL JOURNAL OF CONTROL   77 ( 3 )   250 - 263   2004年2月

    　詳細を見る

    記述言語：英語   出版者・発行元：TAYLOR & FRANCIS LTD  

    A direct adaptive non-linear control framework for discrete-time multivariable non-linear uncertain systems with exogenous bounded disturbances is developed. The adaptive non-linear controller addresses adaptive stabilization, disturbance rejection and adaptive tracking. The proposed framework is Lyapunov-based and guarantees partial asymptotic stability of the closed-loop system; that is, asymptotic stability with respect to part of the closed-loop system states associated with the plant. In the case of bounded energy l 2 disturbances the proposed approach guarantees a non-expansivity constraint on the closed-loop input-output map. Finally, three illustrative numerical examples are provided to demonstrate the efficacy of the proposed approach.

    DOI： 10.1080/00207170310001649900

    Web of Science

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  • Neuro adaptive control with guaranteed stability

    T. Hayakawa

    第4章(分担)   2004年

    　詳細を見る

  • Neuro adaptive control with guaranteed stability

    T. Hayakawa

    第4章(分担)   2004年

    　詳細を見る

  • Adaptive control for non-negative and compartmental dynamical systems with applications to general anesthesia

    WM Haddad, T Hayakawa, JM Bailey

    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING   17 ( 3 )   209 - 235   2003年4月

    　詳細を見る

    記述言語：英語   出版者・発行元：WILEY-BLACKWELL  

    Non-negative and compartmental dynamical system models are composed of homogeneous interconnected subsystems or compartments which exchange variable non-negative quantities of material with conservation laws describing transfer, accumulation, and elimination between the compartments and the environment. These models are widespread in biological and physiological sciences and play a key role in understanding these processes. In this paper, we develop a direct adaptive control framework for linear uncertain non-negative and compartmental systems. The proposed framework is Lyapunov-based and guarantees partial asymptotic set-point regulation; that is, asymptotic set-point stability with respect to part of the closed-loop system states associated with the plant. In addition, the adaptive controller guarantees that the physical system states remain in the non-negative orthant of the state space. Finally, a numerical example involving the infusion of the anesthetic drug propofol for maintaining a desired constant level of depth of anesthesia for non-cardiac surgery is provided to demonstrate the efficacy of the proposed approach. Copyright (C) 2003 John Wiley Sons, Ltd.

    DOI： 10.1002/acs.737

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  • Direct adaptive control for nonlinear matrix second-order dynamical systems with state-dependent uncertainty

    Chellaboina, V, WM Haddad, T Hayakawa

    SYSTEMS & CONTROL LETTERS   48 ( 1 )   53 - 67   2003年1月

    　詳細を見る

    記述言語：英語   出版者・発行元：ELSEVIER SCIENCE BV  

    A direct adaptive control framework for a class of nonlinear matrix second-order dynamical systems with state-dependent uncertainty is developed. The proposed framework guarantees global asymptotic stability of the closed-loop system states associated with the plant dynamics without requiring any knowledge of the system nonlinearities other than the assumption that they are continuous and lower bounded. Generalizations to the case where the system nonlinearities are unbounded are also considered. In the special case of matrix second-order systems with polynomial nonlinearities with unknown coefficients and unknown order, we provide a universal adaptive controller that guarantees closed-loop stability of the plant states. (C) 2002 Elsevier Science B.V. All rights reserved.

    DOI： 10.1016/S0167-6911(02)00247-5

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  • Robust adaptive control for nonlinear uncertain systems,'' Automatica,

    W. M, Haddad T, Hayakawa, V. Chellaboina

    Automatica, vol. 39, 2003   39 ( 3 )   551 - 556   2003年

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  • Robust adaptive control for nonlinear uncertain systems,'' Automatica,

    W. M, Haddad T, Hayakawa, V. Chellaboina

    Automatica, vol. 39, 2003   39 ( 3 )   551 - 556   2003年

    　詳細を見る

  • Direct adaptive control for non-linear uncertain systems with exogenous disturbances

    WM Haddad, T Hayakawa

    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING   16 ( 2 )   151 - 172   2002年3月

    　詳細を見る

    記述言語：英語   出版者・発行元：JOHN WILEY & SONS LTD  

    A direct adaptive non-linear control framework for multivariable non-linear uncertain systems with exogenous bounded disturbances is developed. The adaptive non-linear controller addresses adaptive stabilization, disturbance rejection and adaptive tracking. The proposed framework is Lyapunov-based and guarantees partial asymptotic stability of the closed-loop system; that is, asymptotic stability with respect to part of the closed-loop system states associated with the plant. In the case of bounded energy L-2 disturbances the proposed approach guarantees a non-expansivity constraint on the closed-loop input-output map. Finally, several illustrative numerical examples are provided to demonstrate the efficacy of the proposed approach. Copyright (C) 2002 John Wiley Sons, Ltd.

    DOI： 10.1002/acs.678

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▼全件表示

講演・口頭発表等

  • Compartmental modeling and neural network control of stochastic nonnegative systems

    Proc. Amer. Contr. Conf., (New York, NY),  2007年 

    　詳細を見る

  • Influence of stochastic communication loss on the stability of a formation of multiple agents

    Amer. Contr. Conf., (New York, NY)  2007年 

    　詳細を見る

  • Influence of stochastic communication loss on the stability of a formation of multiple agents

    Amer. Contr. Conf., (New York, NY)  2007年 

    　詳細を見る

  • Adaptive control for linear uncertain discrete-time systems with quantization and deadzone

    Proc. Amer. Contr. Conf., (New York, NY),  2007年 

    　詳細を見る

  • Adaptive control for linear uncertain discrete-time systems with quantization and deadzone

    Proceedings of the 2007 American Control Conference  2007年 

    　詳細を見る

  • Formation Control of Multi-Agent Systems with Sampled Information: Relationship Between Information Exchange Structure and Control Performance

    Proc. IEEE Conf. Dec. Contr., (New Orleans, LA),  2007年 

    　詳細を見る

  • Adaptive control for linear uncertain discrete-time systems with quantization and deadzone

    Proc. Amer. Contr. Conf., (New York, NY),  2007年 

    　詳細を見る

  • Adaptive control for linear uncertain discrete-time systems with quantization and deadzone

    Proceedings of the 2007 American Control Conference  2007年 

    　詳細を見る

  • Formation stability of multi-agent systems with state-dependent stochastic communication loss

    SICE Ann. Conf., (Takamatsu, Japan)  2007年 

    　詳細を見る

  • Adaptive and neural network adaptive control of depth of anesthesia during surgery

    Proc. Amer. Contr. Conf., (Minneapolis, MN),  2006年 

    　詳細を見る

  • Adaptive quantized control for nonlinear uncertain systems

    Proc. Amer. Contr. Conf., (Minneapolis, MN),  2006年 

    　詳細を見る

  • Adaptive control for nonnegative dynamical systems with arbitrary time delay

    Proc. Amer. Contr. Conf., (Minneapolis, MN),  2006年 

    　詳細を見る

  • Formation Control of Multi-Agent Systems with Sampled Information: Relationship Between Information Exchange Structure and Control Performance

    Proc. IEEE Conf. Dec. Contr., (New Orleans, LA),  2007年 

    　詳細を見る

  • Hybrid Adaptive Control for Nonlinear Time-Varying Nonsmooth Second-Order Systems

    2006年 

    　詳細を見る

  • Formation Control of Multi-Agent Systems with Sampled Information: Relationship Between Information Exchange Structure and Control Performance

    Proc. IEEE Conf. Dec. Contr., (San Diego, CA),  2006年 

    　詳細を見る

  • Compartmental Modeling and Adaptive Control of Stochastic Nonnegative Systems

    Positive Systems, Springer Lecture Notes in Control and Information Sciences  2006年 

    　詳細を見る

  • Adaptive feedback passification control for nonlinear uncertain systems via neural networks

    Proc. Int. Symposium on Mathematical Theory of Networks and Systems, (Kyoto, Japan),  2006年 

    　詳細を見る

  • Adaptive dynamic control of nonlinear systems with actuator amplitude and rate saturation constraints

    ASME Int. Mech. Eng. Congr. Expo., (Seattle, WA)  2007年 

    　詳細を見る

  • Formation stability of multi-agent systems with state-dependent stochastic communication loss

    SICE Ann. Conf., (Takamatsu, Japan)  2007年 

    　詳細を見る

  • Compartmental modeling and neural network control of stochastic nonnegative systems

    Proc. Amer. Contr. Conf., (New York, NY),  2007年 

    　詳細を見る

  • Formation Control of Multi-Agent Systems with Sampled Information: Relationship Between Information Exchange Structure and Control Performance

    Proc. IEEE Conf. Dec. Contr., (San Diego, CA),  2006年 

    　詳細を見る

  • Compartmental Modeling and Adaptive Control of Stochastic Nonnegative Systems

    Positive Systems, Springer Lecture Notes in Control and Information Sciences  2006年 

    　詳細を見る

  • Adaptive feedback passification control for nonlinear uncertain systems via neural networks

    Proc. Int. Symposium on Mathematical Theory of Networks and Systems, (Kyoto, Japan),  2006年 

    　詳細を見る

  • Adaptive and neural network adaptive control of depth of anesthesia during surgery

    Proc. Amer. Contr. Conf., (Minneapolis, MN),  2006年 

    　詳細を見る

  • Adaptive quantized control for linear uncertain discrete-time systems,

    計測自動制御学会制御理論シンポジウム, 浜松, 2004  2004年 

    　詳細を見る

  • A new characterization on the approximation of nonlinear functions via neural networks: Adaptive control perspective

    計測自動制御学会適応学習制御シンポジウム, 熊本,2005.  2005年 

    　詳細を見る

  • Passivity-based stable neuro adaptive output feedback control for nonlinear compartmental dynamical systems: Towards controlling depth of anesthesia

    計測自動制御学会制御理論シンポジウム, 浜松,2004.  2004年 

    　詳細を見る

  • Influence of Stochastic Communication Channel Collapse on the Stability of a Formation of Multiple Agents

    計測自動制御学会制御理論シンポジウム資料, 大阪,  2006年 

    　詳細を見る

  • Neural network adaptive dynamic output feedback control for nonlinear nonnegative systems using tapped delay memory units

    Amer. Contr. Conf., (Boston, MA),July 2004  2004年 

    　詳細を見る

  • Hybrid Adaptive Control for Nonlinear Time-Varying Nonsmooth Second-Order Systems

    2006年 

    　詳細を見る

  • Closed-loop control in clinical pharmacology: Paradigms, benefits, and challenges

    Amer. Contr. Conf., (Boston, MA)July 2004.  2004年 

    　詳細を見る

  • Adaptive quantized control for nonlinear uncertain systems

    Proc. Amer. Contr. Conf., (Minneapolis, MN),  2006年 

    　詳細を見る

  • Adaptive control for nonnegative dynamical systems with arbitrary time delay

    Proc. Amer. Contr. Conf., (Minneapolis, MN),  2006年 

    　詳細を見る

  • Influence of Stochastic Communication Channel Collapse on the Stability of a Formation of Multiple Agents

    計測自動制御学会制御理論シンポジウム資料, 大阪,  2006年 

    　詳細を見る

  • Direct adaptive control for nonlinear uncertain systems with time delay

    Proc. IFAC World Cong., (Prague, Czech Republic), July 2005.  2005年 

    　詳細を見る

  • Passivity-based neural network adaptive output feedback control for nonlinear nonnegative dynamical systems

    IEEE Conf. Dec. Contr., (Maui, HI),December 2003  2003年 

    　詳細を見る

  • new characterization of stable neural network control for discrete-time uncertain systems,

    IFAC World Cong., (Prague, Czech Republic), July 2005.  2005年 

    　詳細を見る

  • Adaptive quantized control for linear uncertain discrete-time systems

    Amer. Contr. Conf., (Portland, OR), June 2005.  2005年 

    　詳細を見る

  • Neural network adaptive control for nonlinear uncertain dynamical systems with asymptotic stability guarantees

    Amer. Contr. Conf., (Portland, OR) June 2005.  2005年 

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  • Direct discrete-time adaptive control with guaranteed parameter error convergence,

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