论文部分内容阅读
在状态空间方程中引入输入和状态的多项式函数,以此多项式函数表示非线性因素.为了辨识多项式非线性系统中的各系统矩阵,对于矢量化各系统矩阵组成的未知参数矢量,分别在无约束和有约束条件下采用两并行分布算法求解.在以状态方程等式为约束条件时,将各状态瞬时刻值与由系统矩阵组成的未知参数矢量合并为一个新的优化矢量.对于优化矢量的辨识,给出了并行分布算法的求解过程和迭代式.最后,通过仿真算例验证了所提出方法的有效性.
In the state space equation, the input and state polynomial functions are introduced into the polynomial function to represent the nonlinear factors.In order to identify the system matrices in the polynomial nonlinear systems, the unknown parameter vectors composed of the vectorized system matrices are respectively unconstrained And under the constraint conditions, the two parallel distribution algorithm is used to solve.When the equation of state equation is used as constraint, the instantaneous moment value of each state and the unknown parameter vector composed of system matrices are merged into a new optimization vector.For optimization vector The solution and iteration of the parallel distributed algorithm are given.Finally, the effectiveness of the proposed method is verified by simulation examples.