Model quality is a main factor that affects the control performance of model-based
controllers. In this paper, a new closed-loop model assessment approach is proposed to …

Model Predictive Control constitutes an important element of any modern control system.
There is growing interest in this technology. More and more advanced predictive structures …

For multicopters, failures may abort missions, crash multicopters, and moreover, injure or
even kill people. In order to guarantee flight safety, a system of prognostics and health …

在实际中, 模型失配是导致模型预测控制性能下降的关键因素. 传统的相关性分析方法在分析某
一通道的预测残差和操作变量之间的相关性时, 会受到其他操作变量及干扰的影响 …

In order to handle undesirable failures of a multicopter, which occurs in either the pre‐flight
process or the in‐flight process, a failsafe mechanism design method based on supervisory …

Model quality is one of the decisive factors that affect the performance of model-based
controllers. However, the existing methods were devoted to the monitoring of the overall …

模型预测控制的性能受多种因素的影响, 现有的模型质量评价指标没有考虑外界干扰的变化,
反映系统整体性能时不够全面. 针对上述问题, 现结合两个指标: 基于模型预测控制目标函数的 …

The monitoring technique is a key factor to assess the Run-to-Run control performance in
semiconductor manufacturing industry. In this paper, a new performance index that is a …

In multivariate model predictive control (MPC) systems, the quality of multi-input multi-output
(MIMO) plant models has significant impact on the controller performance in different …

The design of automated systems for monitoring the performance of large numbers of MPC
controllers is presented. The linear-quadratic-Gaussian (LQG) system is treated first, and …