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- 저자 : Lili Liao (검색결과 3 건)
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Cohesion Metrics for Evaluating Semantic Web Ontologies
Lili Liao,Guohua Shen,Zhiqiu Huang,Fei Wang 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.11
With the widespread development of the Semantic Web, large-scale ontologies are being developed in more real-world applications to represent and integrate knowledge and data. There is an increasing need for measuring the cohesion of these ontologies for better understanding, maintenance, reuse and integration. The ontology cohesion metrics proposed in this paper can be used as a very useful complementarity of existing ontology cohesion metrics. Specifically, we first propose a set of evaluation metrics to measure the cohesion of ontologies based on directed acyclic graph. Following the framework for software measurement validation, we then evaluate the effectiveness of the proposed metrics theoretically. Finally, we conduct experiments using a set of classical ontologies; the results show that the proposed metrics are reasonable and effective.
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Robust Tracking Control with Preview Action for Uncertain Discrete-time Systems
Li Li,Fucheng Liao,Zhenqin Ren 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.3
This paper discusses the robust preview control problem for uncertain discrete-time systems, where future reference and disturbance signals over a finite horizon can be previewed. First, in order to utilize future information for the controller design, an augmented error system including future information on previewable signals is constructed by using two new auxiliary variables related to the original system state and input. Second, sufficient conditions for designing a robust state feedback preview controller are given in terms of solutions to a set of linear matrix inequalities (LMIs). A preview controller is designed, one which guarantees that for admissible uncertainties and disturbances, the output of the closed-loop system can asymptotically track the reference signal. Finally, numerical simulation examples illustrate the superiority of the desired preview controller for the uncertain system.
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Preview Repetitive Control for Linear Continuous-time System
Li Li,Xiaohua Meng,Yonglong Liao 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.2
This paper presents a preview repetitive control for linear continuous-time systems when a periodic reference signal is previewed. First, an augmented two-dimensional (2D) system is constructed by state augmentation technique and a 2D model approach. Then, the preview repetitive control laws are proposed for the augmented 2D system, which transforms the preview repetitive control problem into a stabilization problem. Using Lyapunov functions, sufficient conditions for asymptotic stability of the 2D continuous-discrete system are derived in the form of linear matrix inequalities (LMIs). The design of a preview repetitive controller is proposed through the LMI approach. Finally, the developed design techniques are applied to two examples. The simulation results demonstrate the validity of the proposed method.
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