Results 81 to 90 of about 4,826,552 (180)
Synchronization of Chaotic Delayed Neural Networks via Impulsive Control
Journal of Applied Mathematics, 2014 This paper is concerned with the impulsive synchronization problem of chaotic delayed neural networks. By employing Lyapunov stability theorem, impulsive control theory and linear matrix inequality (LMI) technique, several new sufficient conditions ...
Yang Fang, Kang Yan, Kelin Li
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Positive real control of two-dimensional systems: Roesser models and linear repetitive processes
, 2003 This paper considers the problem of positive real control for two-dimensional (2-D) discrete systems described by the Roesser model and also discrete linear repetitive processes, which are another distinct sub-class of 2-D linear systems of both systems ...
Owens, D H +7 more
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A New Robust Training Law for Dynamic Neural Networks with External Disturbance: An LMI Approach
Discrete Dynamics in Nature and Society, 2010 A new robust training law, which is called an input/output-to-state stable training law (IOSSTL), is proposed for dynamic neural networks with external disturbance.
Choon Ki Ahn
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Observer Design for a Class of Lipschitz Nonlinear Systems with Output Uncertainty
工程科学与技术, 2013 :By means of linear matrix inequality (LMI) based Lyapunov method,a nonlinear observer was proposed for a class of Lipschitz nonlinear system with output uncertainty.The observer gain matrix was selected according to LMI with the output uncertainty ...
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H∞ and L2–L∞ filtering for two-dimensional linear parameter-varying systems [PDF]
, 2007 This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Wiley-BlackwellIn this paper, the H∞ and l2–l∞ filtering problem is investigated for two-dimensional (2-D) discrete-time ...
Wang, Z, Wu, L, Gao, H, Wang, C
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Abstract and Applied Analysis, 2014 This paper is devoted to the investigation of the design of robust guaranteed cost observer for a class of linear singular Markovian jump time-delay systems with generally incomplete transition probability.
Yanbo Li, Yonggui Kao, Jing Xie
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ℋ∞ Stability Conditions for Fuzzy Neural Networks
Advances in Fuzzy Systems, 2012 This paper presents a novel approach to assess the stability of fuzzy neural networks. First, we propose a new condition for the ℋ∞ stability of fuzzy neural networks.
Choon Ki Ahn
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The Feedback Control Strategy of the Takagi-Sugeno Fuzzy Car-Following Model with Two Delays
Journal of Control Science and Engineering, 2016 Considering the driver’s sensing the headway and velocity the different time-varying delays exist, respectively, and the sensitivity of drivers changes with headway and speed. Introducing the fuzzy control theory, a new fuzzy car-following model with two
Cong Zhai, Weiming Liu, Ling Huang
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, 2021 In this paper, a state feedback linear quadratic regulator (LQR) controller is designed for multiple PV units which are connected to distribution networks in a networked structure instead of the point of common coupling (PCC). The proposed control scheme
SK Ghosh (7256687) +3 more
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Fractal and FractionalThis paper proposes a parametrization transform method for model-unknown networked control systems by using a data-driven event-triggered scheme. The key contribution is that an easy-to-apply parametrization transform method is proposed to convert the ...
Meixuan Li
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