摘要
讨论了自适应逆最优控制问题可解定理,基于Ito微分规则和Backstepping方法,给出了具有标准Wiener噪声扰动和未知定常参数的严格反馈随机非线性系统的全局依概率渐近稳定和自适应逆最优控制策略的设计方法,该方法可同时获得控制律和自适应律。仿真结果表明了控制算法的有效性。
The solvable theorem of adaptive inverse optimal control problems is dealt with based on Ito's differentiation rule and adaptive backstepping algorithms. Control strategies of global asymptotic stability and adaptive inverse optimal stabilization in probability are presented for strict-feedback stochastic nonlinear continuous systems with additive standard Wiener noises and constant unknown parameters. Control schemes and adaptive laws can be obtained at the same time by this design scheme. Simulation results show the effectiveness of the control algorithms.
出处
《控制与决策》
EI
CSCD
北大核心
2003年第6期681-685,689,共6页
Control and Decision
基金
安徽省自然科学基金项目(03042302)。