Showing papers by "Hao Luo published in 2017"
TL;DR: The proposed approach is an alternative realization of Youla parameterization which allows the performance of the controlled systems to be improved without modifying or replacing the predesigned control systems, while the closed-loop stability is guaranteed.
Abstract: Driven by the increasing demands on production quality, system performance, and the reliability and safety issues of process industry, this paper proposes an integrated process monitoring and control design technique for industrial control systems. The proposed approach is an alternative realization of Youla parameterization which allows the performance of the controlled systems to be improved without modifying or replacing the predesigned control systems, while the closed-loop stability is guaranteed. In addition, a residual signal is available for the fault detection and isolation purpose. The effectiveness and performance of the proposed approach are demonstrated on a brushless direct current motor test rig.
43 citations
TL;DR: This paper proposes an alternative fault detection (FD) scheme, in which the so-called residual signals are generated by means of a projection of process input data, which avoids the parameter identification procedure and allows us to address deterministic disturbances (unknown inputs), which be paid often less attention by data-driven FD methods.
Abstract: This paper proposes an alternative fault detection (FD) scheme, in which the so-called residual signals are generated by means of a projection of process input data. This is the major difference to the existing model-based and data-driven FD schemes, where residual generator is realized based on the process input and output relationship/dynamics. Moreover, this way of residual generation avoids the parameter identification procedure and also allows us to address deterministic disturbances (unknown inputs), which be paid often less attention by data-driven FD methods. In this fashion, the FD issue reduces to detect change of a random matrix. Since it is difficult to directly measure this change, so the trace of a matrix is adopted as the evaluation function. Furthermore, the threshold can be set by considering the boundedness of disturbance. The effectiveness of the proposed method is verified by a simulation study on an inverted pendulum system.
32 citations
TL;DR: A robust version of just-in-time learning strategy is proposed, inspired from the leverage weight, where the outliers in high leverage cases are treated to reduce their weight and affect less on output prediction.
5 citations
01 Jul 2017
TL;DR: A decentralized adaptive configuration technique is further developed for linear time-invariant (LTI) discrete-time system and it is shown that the stability of the overall adaptive system and each decentralized subsystem is guaranteed.
Abstract: In this paper, after a brief introduction on the developed plug-and-play (PnP) process monitoring and control architecture, a decentralized plug-and-play (PnP) process monitoring system for large-scale industrial processes is studied. And then, aiming at lower online computational load and more flexible industrial implementation, a decentralized adaptive configuration technique is further developed for linear time-invariant (LTI) discrete-time system. The stability of the overall adaptive system and each decentralized subsystem is guaranteed. In order to demonstrate the equivalence of the decentralized and centralized configuration, the proposed approach is applied on the well established three-tank benchmark system, and the effectiveness of the proposed approaches is illustrated.
4 citations
TL;DR: In this article, the realizations of feedback control systems are discussed, which results in a preferable and more convenient way to realize plug-and-play (PnP) control without modifying pre-designed control systems.
2 citations
01 Oct 2017
TL;DR: Two online configuration approaches are proposed for the observer-based residual generator based on the adaptive observer scheme and an iterative learning approach is later developed aimed at higher feasibility and reliability of industrial application.
Abstract: In this paper, after a brief introduction on the proposed plug-and-play (PnP) process monitoring and control system, two online configuration approaches are proposed for the observer-based residual generator. Firstly, an adaptive residual generator is developed based on the adaptive observer scheme. Aiming at higher feasibility and reliability of industrial application, an iterative learning approach is later developed. The well established three-tank benchmark system is utilized for the demonstration of the effectiveness of the proposed approaches.