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H robust filter design for a class of nonlinear stochastic poisson jump systems

机译:一类非线性随机泊松跳跃系统的H 鲁棒滤波器设计

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Since the nonlinear dynamic systems in engineering, economics and biology may suffer from both continuous Wiener process and discontinuous Poisson process, the robust filter design for a class of nonlinear stochastic Poisson jump systems with external disturbances is studied in this paper. At present, there exists no good filter design method to treat the discontinuous Poisson process filter problem. Based on Ito-Levy formula, a robust H filter design is proposed for nonlinear stochastic Poisson jump systems by solving a Hamilton-Jacobi inequality (HJI) for the robust filter design of nonlinear stochastic Poisson jump system. The optimal H robust filter design problem for the nonlinear stochastic Poisson jump system is also discussed in this study.
机译:由于工程,经济学和生物学领域的非线性动力学系统可能同时遭受连续的维纳过程和不连续的泊松过程的影响,因此本文研究了一类具有外部干扰的非线性随机泊松跳跃系统的鲁棒滤波器设计。目前,没有好的滤波器设计方法来处理不连续的泊松过程滤波器问题。基于Ito-Levy公式,通过求解非线性随机泊松跳跃系统鲁棒滤波器设计的Hamilton-Jacobi不等式(HJI),提出了一种用于非线性随机泊松跳跃系统的鲁棒H滤波器设计。本文还讨论了非线性随机泊松跳跃系统的最优H鲁棒滤波器设计问题。

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