recursive control algorithm

This paper presents a multivariable bilinear adaptive decoupling control algorithm, which employs a modified recursive least-squares estimator, and analyses its convergence and stability.

本文对一类多变量双线性系统，用修改最小二乘辨识方法，建立了自适应解耦控制算法，分析了该算法的收敛性和稳定性。

A recursive algorithm of evaluating the invert-matrix of generalized predictive control ( GPC), based the matrix decomposition, is introduced. The calculation has greatly been reduced.

采用矩阵分解方法，推导出一种求解广义预测控制（GPC）中的逆矩阵的递推算法，使得计算量大为减少。

Based on system identification with recursive least squares method, the NLJ optimizing algorithm is used to tune the PID control parameters.

在运用递推最小二乘法在线辨识系统模型参数的基础上，采用NLJ方法（随机数直接搜索法）以ITAE（时间乘误差绝对积分）指标最优为目标对PID控制参数寻优整定。

The schemes employ a recursive algorithm to design controllers for every subsystem, respectively, and take predesigned control inputs as disturbances.

该方案通过逐层递推的方法，分别针对每一个子系统单独设计控制器，将本层之前已设计的多项控制输入作为等价干扰。