Results 271 to 280 of about 5,418,166 (357)
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On sensitivity in optimal control systems
IEEE Transactions on Automatic Control, 1963P. Dorato
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Adaptive Output Feedback Control of Nonlinear Systems: A Dynamic-Gain Scaling Approach
IEEE Transactions on Automatic Control, 2023In this technical note, the problem of global asymptotical state regulation is considered for a class of nonlinear systems with unknown measurement sensitivity and polynomial growth constraint.
X. Jia, Shengyuan Xu, Shaosheng Zhou
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Sensitivity controller for uncertain systems
Journal of Guidance, Control, and Dynamics, 1988In this paper a new controller design, which we Shall call the "trajectory sensitivity optimization" method, is presented to improve the robustness for parameter variations. The method uses the sensitivity trajectory to model the parameter uncertainty and introduces a special quadratic cost function involving an input and output sensitivity term ...
KENJI OKADA, ROBERT SKELTON
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IEEE Transactions on Cybernetics, 2020
This article is concerned with the fixed-time prescribed tracking control problem for the uncertain stochastic nonlinear systems subject to input quantization and unknown measurement sensitivity.
C. Hua, Pengju Ning, Kuo Li, X. Guan
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This article is concerned with the fixed-time prescribed tracking control problem for the uncertain stochastic nonlinear systems subject to input quantization and unknown measurement sensitivity.
C. Hua, Pengju Ning, Kuo Li, X. Guan
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Systems of Sensitized Robots Supervisory Control
IFAC Proceedings Volumes, 1977The paper exhibits the question of an organization of the sensitized robots supervisory control. The various approaches to the synthesis of robots control algorithms are described. The Algorithmic Robot Control System has been developed in Leningrad Polytechnical Institute to control the actions of Robots. The robot control language ROCOL and the built-
S.I. Novatchenko +3 more
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Flexible Smart Noncontact Control Systems with Ultrasensitive Humidity Sensors.
Small, 2019The development of noncontact humidity sensors with high sensitivity, rapid response, and a facile fabrication process is urgently desired for advanced noncontact human-machine interaction (HMI) applications.
Juehan Yang +5 more
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Sensitivity in Multivariable Control Systems
Journal of Basic Engineering, 1969Definitions of system sensitivity for linear single variable systems have been extended, in the past, to linear multivariable systems in the form of a sensitivity matrix. The role of the sensitivity matrix in multivariable feedback control systems is studied further in this paper. The sensitivity matrix serves the dual function of governing the effects
W. F. Horton, C. T. Leondes
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IEEE Transactions on Control of Network Systems, 2017
In distributed control systems with shared resources, participating agents can improve the overall performance of the system by sharing data about their personal preferences.
Yu Wang +3 more
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In distributed control systems with shared resources, participating agents can improve the overall performance of the system by sharing data about their personal preferences.
Yu Wang +3 more
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IEEE Transactions on Automatic Control, 1998
Summary: In the above-mentioned paper, a numerical example is given to show that the Nevanlinna-Pick interpolation formulas appearing in [1] and [2] are incorrect. By comparing [2] with [3] we illustrate that the correct formulas are obtained by simply taking the transpose of the Pick matrix given in [1] and [2].
Zeren, Murat, Özbay, Hitay
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Summary: In the above-mentioned paper, a numerical example is given to show that the Nevanlinna-Pick interpolation formulas appearing in [1] and [2] are incorrect. By comparing [2] with [3] we illustrate that the correct formulas are obtained by simply taking the transpose of the Pick matrix given in [1] and [2].
Zeren, Murat, Özbay, Hitay
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IEEE Transactions on Systems, Man, and Cybernetics: Systems
This study explored the issue of decentralized adaptive event-triggered neural network (NN) control for nonlinear interconnected large-scale systems (LSSs) subjected to unknown measurement sensitivity and nonconstant control gains.
Liang Cao +3 more
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This study explored the issue of decentralized adaptive event-triggered neural network (NN) control for nonlinear interconnected large-scale systems (LSSs) subjected to unknown measurement sensitivity and nonconstant control gains.
Liang Cao +3 more
semanticscholar +1 more source