scispace - formally typeset
Q

Qiang Xiong

Researcher at Nanyang Technological University

Publications -  9
Citations -  471

Qiang Xiong is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Multivariable calculus & Computer science. The author has an hindex of 6, co-authored 6 publications receiving 440 citations.

Papers
More filters
Journal ArticleDOI

Equivalent transfer function method for PI/PID controller design of MIMO processes

TL;DR: In this paper, an engineering oriented control system design method for multivariable processes is presented by employing the concepts of energy transmission ratio and effective relative gain, an equivalent transfer function matrix for closed loop control system can be obtained.
Journal ArticleDOI

A practical loop pairing criterion for multivariable processes

TL;DR: In this article, a new dynamic loop pairing criterion for decentralized control of multivariable processes is presented, utilizing both steady state gain and bandwidth information of the process open loop transfer function elements, through defining an effective gain matrix, the loop pairing procedures of popular relative gain array method is directly extended to the new method which can reflect dynamic loop interactions under finite bandwidth control.
Journal ArticleDOI

Effective transfer function method for decentralized control system design of multi-input multi-output processes

TL;DR: In this paper, the effective transfer function for independent controller design for multi-input multi-output processes is provided in terms of relative gain and relative frequency, which is simple, straightforward, easy to understand and implement by field engineers.
Journal ArticleDOI

Robust decentralized parameter identification for two-input two-output process from closed-loop step responses

TL;DR: In this paper, a novel parameter identification method for closed-loop two-input-two-output (TITO) processes from step-test is proposed, which is simple for engineering application and robust in the presence of large amounts of measurement noise.
Journal ArticleDOI

Decentralized closed-loop parameter identification for multivariable processes from step responses

TL;DR: The significance of the proposed method is that it relaxes most restrictions of existing multivariable process identification methods, it is universally applicable to closed-loop identification for cross-couplingMultivariable processes and its effectiveness and practicality are shown.