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GLOBAL STABILIZATION OF A CLASS OF DISCRETE-TIME NONLINEAR STOCHASTIC SYSTEMS

机译:一类离散时间非线性随机系统的全局镇定

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摘要

For a class of nonlinear stochastic systems with parametric-strict-feedback form, global stabilization of closed-loop system is established by designing an adaptive controller based on the weighted least-squares algorithm and by using a backstepping method where nonlinearity vectors appearing in the last state equation are permitted to have the growth rate faster than linear.
机译:对于一类具有参数-严格-反馈形式的非线性随机系统,通过设计基于加权最小二乘算法的自适应控制器并通过使用反步法来建立闭环系统的全局稳定性,其中非线性矢量在最后一次出现。状态方程的增长速度比线性方程快。

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