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Titlebook: Advances in Neural Networks – ISNN 2015; 12th International S Xiaolin Hu,Yousheng Xia,Dongbin Zhao Conference proceedings 2015 Springer Int

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Community in Twentieth-Century Fictionpropose a model-free policy iteration (PI) method for learning the . . control policy by using measured system data without system model information. First, a finite-dimensional system of ordinary differential equation (ODE) is derived, which accurately describes the dominant dynamics of the para
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Community in Twentieth-Century Fictionain parameters. Based on Lyapunov function method and mathematical analysis technique, some novel and useful criteria for exponential synchronization are established. Finally, two numerical simulations are given to illustrate the effectiveness and correctness of the derived theoretical results.
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The Work of Art in the Post Age,cent years. In order to control the trajectory of the robot end-effector with a desired velocity, it is very popular to apply the inverse kinematics approaches, such as pseudo-inverse scheme. However, calculating the inverse of Jacobian matrix requires a lot of time. Thus base on gradient neural dyn
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Mary R. Anderson,Kevin S. Fridyator was designed based on the sampled measurements. The sufficient condition for the existence of state estimator is derived by using the Lyapunov functional method. A numerical example is given to show the effectiveness of the proposed estimator.
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https://doi.org/10.1057/9780230582125By employing the analysis technique and theory of the differential equations with discontinuous right-hand side, some novel lag synchronization criteria have been obtained. Finally, an example is given to illustrate the effectiveness of the obtained results.
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Community, Conflict and the Statedelay. Firstly, the mathematical model of this kind of recurrent neural networks is established by taking information latching and noise disturbance into consideration. Then, a stability condition, which is dependent on both time delay and system mode, is presented in terms of linear matrix inequali
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