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Robust Fault Detection Filter Design for Uncertain LTI Systems Based on New Bounded Real Lemma
Tao Li,Lingyao Wu,Xinjiang Wei 제어·로봇·시스템학회 2009 International Journal of Control, Automation, and Vol.7 No.4
This paper concerns the problem of robust fault detection filter design for uncertain linear time-invariant (LTI) systems with both model uncertainty and disturbances. Firstly, the fault detection filter design is formulated to H∞ model-matching problem. Secondly, based on a new bounded real lemma, a sufficient condition for the existence of the robust fault detection filter is constructed in term of linear matrix inequalities (LMIs). Owing on the introduction of the tuning parameter and slack variables in obtained LMI condition, the proposed design method can provide higher fault detection sensitivity performance than the existing one. Finally, an illustrative example is employed to demonstrate the effectiveness of the proposed approach.
Tao Li,Lei Guo,Lingyao Wu,Changyin Sun 제어·로봇·시스템학회 2009 International Journal of Control, Automation, and Vol.7 No.2
This article investigates the problem of robust stability for neural networks with time-varying delays and parameter uncertainties of linear fractional form. By introducing a new Lyapunov-Krasovskii functional and a tighter inequality, delay-dependent stability criteria are established in term of linear matrix inequalities (LMIs). It is shown that the obtained criteria can provide less conservative results than some existing ones. Numerical examples are given to demonstrate the applicability of the proposed approach.
Improved Bottleneck Approach for Heuristic Systemwide Responsive Ramp Metering on Congested Freeways
Gan Chai,Jianhua Guo,Lingyao Wu,Xiang Miao 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.1
Ramp metering has been shown to be an efficient and direct measure of alleviating congestion caused by many factors, and manyalgorithms have been developed and implemented in the real world. Based on the conventional Bottleneck approach, an improvedBottleneck heuristic coordinated metering algorithm is proposed in this paper for managing the ramp meters so as to solve or mitigatethe mainline congestion issue caused by factors such as freeway traffic incidents. In this approach, first, the local ramp metering rateis determined through the conventional lookup table approach, and then using density instead of volume as the control variable, aProportional-Integral (PI) controller is designed to compute the system/coordinated metering rate; finally, the final metering rate isselected using the conventional minimum or maximum rule depending on the comparison between the target and current trafficdensities. Taking the ramp system of Nanjing-Hangzhou Freeway as an example, the proposed improved Bottleneck algorithm isimplemented in a simulated environment, and the results confirmed the effectiveness of the improved Bottleneck algorithm.