论文部分内容阅读
化工过程多具有非线性特征,针对用线性系统性能评估方法处理非线性系统会存在过估计的情况,研究了一类叠加线性干扰的非线性系统的性能评估问题。通过使用Volterra级数近似非线性环节,把最小方差性能评估问题转化成一类模型辨识问题,并从辨识误差中得到非线性系统的最小方差估计值。通过数值仿真,将新方法所得结果和现有线性性能评估方法进行了比较,验证了设计算法的优越性。
There are many non-linear characteristics of chemical processes. To evaluate the performance of nonlinear systems with linear system performance evaluation, the performance evaluation of a nonlinear system with additive linear disturbance is studied. By using Volterra series approximation nonlinearity, the problem of minimum variance performance evaluation is transformed into a type of model identification problem, and the minimum variance estimation of nonlinear system is obtained from the identification error. By numerical simulation, the results of the new method are compared with the existing linear performance evaluation methods, and the superiority of the design algorithm is verified.