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OALib Journal期刊
ISSN: 2333-9721
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Optimal tracking control of the output probability density functions:square root B-spline model
输出概率密度函数的最优跟踪控制:均方根B-样条模型

Keywords: dynamic stochastic systems,probability density functions,B-spline expansion,nonlinear state constraints,variable structure control,error compensation control
动态随机系统
,概率密度函数,B样条模型,状态约束,变结构控制,误差补偿控制

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Abstract:

Based upon the analysis on the square root B-spline approximation used in the probability density function (PDF) shape control,this paper proposes a new strategy which transfers such an optimal tracking control into an optimal control design issue under a nonlinear state constraint.A robust variable structure controller (VSC) and a nonlinear observer are then designed according to such a nonlinear state constraint and the characteristic of the system model.A restrictive observation error has been ensured by using an error compensation mechanism.Simulation examples have indicated the effectiveness of the proposed algorithms.

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