An extension to the modified two-step algorithm for steady-state system optimization and parameter estimation
An extension to the modified two-step algorithm for steady-state system optimization and parameter estimation
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DOI：
10.1080/00207728608926883
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发表时间：
1986-08
影响因子：
4.3
通讯作者：
M. Brdyś;Sheng Chen;P. Roberts
中科院分区：
文献类型：
--
作者：
M. Brdyś;Sheng Chen;P. Roberts
本文对确定系统最优稳态运行条件的改进两步法进行了推广。新版本的算法具有更快的收敛速度，并确保在涉及系统输出的系统不等约束的更一般情况下达到最优条件。通过仿真验证了该算法在噪声测量下的性能。采用简单的滤波技术来减小过程测量中的误差。
This paper presents an extension to the modified two-step algorithm for determining the optimum steady-state operating condition of a system. The new version of the algorithm gives a faster convergent rate and ensures that the optimal condition is achieved in more general cases where system inequality constraints involving system outputs occur. The performance of the algorithm under noisy measurements is examined by simulation. Simple filter techniques are employed to attenuate errors in process measurements.