radial point collocation method for solving fpk equation in stochastic dynamics 方程的径向基点插配点方法求解
stability analysis for stochastic dynamic traffic assignment models 动态交通分配与信号控制的组合模型及算法研究
we start by covering deterministic and stochastic dynamic optimization using dynamic programming analysis 我们会以使用动态规划分析来处理确定及随机的动态最适化作为开始。
based on the recent situation and trend of the nonlinear systems, we present some recent developments and important problems in stochastic dynamics such as response, bifurcation, chaos, synchronization and control 摘要介绍了非线性随机动力学的响应、分岔、混沌以及混沌同步与控制的研究现状和发展趋势,探讨了随机复动力系统、时滞系统、逼近方法和数值方法研究中的若干问题及其进展。
markov decision process, in short mdp, is also called sequential stochastic optimization stochastic optimum control . the controlled markov process or stochastic dynamic programming is the theory on stochastic sequential decision 马尔可夫决策过程(markovdecisionprocesses,简称mdp,又称序贯随机最优化、随机最优控制、受控的马尔可夫过程或随机动态规划)是研究随机序贯决策的问题的理论。