摘要
本文主要讨论了一步最优LQG自校正调节器在任意干扰下的鲁棒收敛性问题。分析结果表明,这种自适应算法对于不满足理想假设条件的干扰环境有较强的鲁棒性。
The robust convergence of one-Step optimal LCG Self-tuning regulator under arbitrary disturbance is discussed. The result shows that if the disturbance is an uniform bounded and the rate of change is small than the process signals, the algrithm guarantee the mean square convergence of process input and output.
