Output-Feedback Robust Adaptive Control for Strict-feedback Stochastic Nonlinear Systems under Inverse Optimality Costs

摘要：

The solvable problem of adaptive inverse optimal stabilization in probability is discussed, and control laws of global asymptotic stability in probability and adaptive inverse optimal stabilization in probability are developed for output-feedback stochastic nonlinear continuous systems with additive standard Wiener noises and constant unknown parameters by using It(o)s differentiation rule and adaptive backstepping algorithms. The adaptive control law and the parameter update laws can be obtained at same time by this design scheme.

关键词： Output-feedback Wiener noises Backstepping algorithm Inverse optimality Stability in probability

作者: Jingsheng Wang Jun Wang Wei Liu Ping Ji

作者单位: Key Lab. of Machine Vision and Intelligence Control Technology, Hefei University, Hefei, 230022 P. R. China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 3507-3512

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）