stochastic differentiation
- stochastic differentiation的基本解释
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随机微分法
- 更多网络例句与stochastic differentiation相关的网络例句 [注：此内容来源于网络，仅供参考]
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In Chapter 4 we discuss the solvable theorem of adaptive inverse optimal control problems, and proceed with controller designs of global asymptotic stability in probability, adaptive inverse optimal stabilization in probability and output-feedback adaptive inverse optimal stabilization in probability for strict-feedback stochastic nonlinear continuous systems with additive standard Wiener noises and constant unknown parameters using It〓's differentiation rule and an adaptive backstepping algorithm. Control laws and adaptive laws can be obtained at one time by this design scheme. Many simulations have been performed to validate the properties of the proposed adaptive control scheme.
在第4章中，针对具有标准Wiener噪声扰动和未知定常参数的不确定随机非线性系统，提出并证明了自适应逆最优控制问题可解定理，构造了适当形式的四次型随机控制Lvapunov函数，基于It〓微分规则和自适应Backstepping算法，系统地设计了全局依概率渐近稳定控制器、自适应逆最优控制器、输出反馈逆最优控制器以及在设计中如何处理二阶Hessian矩阵函数的方法，这种方法可同时获得控制律和自适应律，通过实例仿真，表明该控制算法是有效性的。
- 更多网络解释与stochastic differentiation相关的网络解释 [注：此内容来源于网络，仅供参考]
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stochastic differentiation：随机微分法
stochastic differential equation 随机微分方程 | stochastic differentiation 随机微分法 | stochastic dynamic model 随机动态模型
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stochastic differentiation：随机微分
stochastic differential equation 随机微分方程 | stochastic differentiation 随机微分 | stochastic integral 随机积分