摘要
对于一类常见多重时滞非线性离散时间系统，提出了基于动态线性逼近的增量型简化递推预测模型、广义预测控制律、噪声估计器以及带有参数限定时域长度的参数自适应递推预报算法，实现了对存在较大滞后的时滞非线性系统的广义预测控制。通过仿真表明，该算法对于一类非线性系统实现预测控制是正确和有效的。
The generalized predictive control algorithm, its parameter adaptive recursive pre- dicting with parameter control length and noise estimator, are presented for a class of nonlinear discrete time systems with multiple time delays based on dynamic approximate linearization increment minimized recursive predicting model method. Generalized predictive control is em- ployed for nonlinear systems with heavy multiple time delays. Simulation results for several typical nonlinear systems are given to demonstrate the correctness and effectiveness of the method.
出处
《电机与控制学报》
EI
CSCD
北大核心
2001年第3期185-189,共5页
Electric Machines and Control
关键词
非线性系统
广义预测控制
动态线性逼近
自适应控制
nonlinear systems
generalized predictive control
parameter adaptive recursive predicting
increment minimized recursive predictive model
dynamic linearization
