随机最优非线性网络控制系统设计

Design of the stochastic optimal nonlinear networked control system

针对网络控制非线性系统中存在的不确定时延,利用Delta算子方法,研究了基于T-S模糊模型的随机最优网络控制问题。采用T-S模型模糊动态逼近非线性系统,将非线性模型模糊化为局部线性模型,设计了本质为非线性的具有时延补偿功能的状态反馈控制器,并进行了稳定性分析,并仿真。结果表明,所提出的建模方法是可行的,实质为非线性的状态反馈的控制器能够有效地补偿时延对系统性能的影响,且补偿效果好。

Considering the uncertain delay of networked control nonlinear systems, the problem of the stochastic optimal networked control is studied using Delta operator method based on T-S fuzzy model. The nonlinear plant is fuzzied into the local linear models using T-S model which approach the nonlinear plant. The nonlinear state-feedback controller with time-delay compensation is designed, and the stability of the system is analyzed. The result of the simulation experiment shows that the T-S model of the nonlinear plant is feasible, the controller which is nonlinear in nature can compensate the bad effect of the timedelay, and the compensation is effective.