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Titlebook: Computational Intelligence; International Confer De-Shuang Huang,Kang Li,George William Irwin Conference proceedings 2006 Springer-Verlag B

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Refinements in martingale analysis,of both approximation error and external disturbance, fuzzy hyperbolic .. control scheme is addressed . All the results are given in terms of LMI forms, the effectiveness of the proposed method is shown by a simulation example.
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Harry M. Markowitz,Erik L. van Dijksfies the passive performance. Furthermore, a convex optimization problem with LMI constraints is formulated to design robust passive controller with the maximum dissipation rate. A numerical example demonstrates the validity of this method... T-S fuzzy systems, robust control, passive performance, linear matrix inequalities.
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Mathematics and Its Applicationshuman-understandable rules. So human can easily improve these rules. However, one inherent disadvantage of decision tree is that the use of crisp points makes the decision trees sensitive to noise. To overcome this problem, we propose an alternative method, fuzzy decision tree, based on fuzzy set theory.
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https://doi.org/10.1007/978-3-030-29219-5forward a new uniform “OR” operation model. The simulation shows that it is not only flexible but controllable. It enlarged the study domain of universal logic, and offered important theory for uncertainties reasoning of complex system.
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Solutions of the Simple Recourse Problem,roximation errors. By the Simultaneity, based on Lyapunov method, the parameters of the systems are regulated on line by the adaptive laws. Global asymptotic stability is assured with the tracking errors converging to a neighborhood of zero.
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A GA Optimization for FLC with Its Rule Base and Scaling Factors Adjustmenta chromosome in genetic algorithms is given. The optimization for rule base with the correspondent membership function and scaling factors using GA is easy to be realization in engineering. Simulation results are presented to support this thesis.
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