http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Dongyan Chen,Ning Yang,Jun Hu,Junhua Du 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.12
This article gives primarily attention to the resilient set-membership state estimation problem for a class of discrete time-varying complex networks with distributed delays, uncertain inner coupling and sensor saturation under the round-robin (RR) protocol. The process and measurement noises are unknown but bounded, which are confined to the ellipsoidal sets. The RR protocol is utilized to assign the priority of accessing to the communication network to nodes in terms of a fixed circular order. By means of the recursive linear matrix inequality (RLMI) technique, a sufficient criterion is established to guarantee that the one-step ahead estimation error is confined to the ellipsoidal set. In term of the convex optimization approach and the recursive algorithm, the desired estimator gains can be derived by utilizing the sufficient condition and optimizing the corresponding constraint matrices. Finally, a simulation example is used to verify the effectiveness of the designed resilient set membership state estimation scheme.
A Fuzzy Random CLRIP Model of B2C E-commerce Distribution System
Dehui Chen,Dongyan Chen,Xiuping Han 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.4
A fuzzy random model of Combined Location Routing and Inventory Problem (CLRIP) has been presented with continuous review inventory policy in B2C distribution environment for the first time. Demands of customers and distribution centers are uncertain and have been assumed to be fuzzy random variables. To solve the model, first the expected value of fuzzy random variable and the possibilistic mean value have been used to convert the fuzzy random variables to crisp ones. A mythology has been designed for solving determined model. A numerical example has demonstrated the effectiveness of the model and algorithm.
Weilu Chen,Dongyan Chen,Jun Hu,Jinling Liang,Abdullah M. Dobaie 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.2
This paper is concerned with the robust H¥ state estimation problem for a class of uncertain genetic regulatory networks (GRNs) with random delays and external disturbances by using sample-data method. An important feature of this paper is that the time-varying delays are assumed to be random and their probability distributions are known a priori. By substituting the continuous measurements, the sampled measurements are used to estimate the concentrations of mRNAs and proteins. On the basis of the extended Wirtinger inequality, a discontinuous Lyapunov functional is introduced. Then, some sufficient conditions are derived in terms of a set of linear matrix inequalities (LMIs), which ensure that the error system is globally asymptotically stable in the meansquare sense and satisfies H∞ performance. Further, the explicit expression of the required estimator gain matrices is proposed. Finally, a numerical example is used to illustrate the effectiveness and feasibility of the obtained estimation method.
Xiuping Han,Dongyan Chen,Dehui Chen,Haibo Long 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.4
A closed-loop supply chain system consisting of one manufacturer with random yield and one retailer with random demand is discussed in this paper. The models of expected profit of supply chain system are founded under centralized decision and decentralized decision, respectively. The optimal strategies of yield and order are obtained in two modes. It is proved that the order of retailer is not affected by yield randomness. That is showed by numerical example, the results show: the scheduled production of new product for manufacture will decrease and the total profit and each participant of supply chain will increase as recovery price increases, when the cost of remanufacturing production is lower than the new product.
Lijuan Nie,Dongyan Chen,Jun Hu 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.8
This paper is concerned with the problem of protocol-based sliding mode control for a class of uncertain discrete networked Markovian jump systems with stochastic perturbation and time-varying delays. An improved dynamic uniform quantizer for processing system output signals is proposed to mitigate communication constraints. Next, a Round-Robin protocol with zero-order holders is introduced in the communication channels from the controller to the actuators to reduce potential network congestion and collision. Then, in the output feedback case,a new sliding surface is designed based on the quantized output, and a mode-dependent sliding mode controller is constructed using protocol scheduling signals. Additionally, a sufficient condition is derived to ensure that the closed-loop system is asymptotically stable in the mean square on a specific sliding surface despite the existence of the time-varying delays. Subsequently, the reachability of the state trajectories is guaranteed, where a sufficient criterion is proposed by constructing new Lyapunov-Krasovskii functional as well as using the stability theory. Furthermore, the cone complementary linearization iteration algorithm is employed to tackle the non-convex problem during the controller design. Finally, a simulation example demonstrate the effectiveness and feasibility of the protocol-based sliding mode control method.
Tianqi Liu,Dongyan Chen,Jun Hu 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.5
In this paper, the resilient distributed filtering problem is addressed for discrete stochastic uncertain timevarying systems with missing measurements and stochastic uncertainties over wireless sensor networks. Some random variables governed by the Bernoulli distribution are used to model the missing measurements phenomenon of each sensor node. In addition, the stochastic uncertainties are characterized by the multiplicative noises and stochastic nonlinearities. By using the variance-constrained method, an appropriate filter gain is selected to minimize thetrace of the upper bound for the filter error covariance. Moreover, the resilient distributed filtering algorithm isdesigned and a new matrix simplification technique is introduced to deal with the sparsity of sensor networks topology. Finally, both the feasibility and effectiveness of the resilient distributed filtering algorithm are verified by anumerical simulation.
Huifang Kang,Dongyan Chen,Jun Hu,Long Xu 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.3
In this paper, the distributed H∞ filtering problem is investigated for a class of nonlinear systems over wireless sensor networks (WSNs) with successive packet dropouts (SPDs) and multiplicative noise under an eventtriggered communication mechanism (ETCM). A series of uncorrelated random variables which obey the Bernoulli distribution are used to characterize the induced phenomenon of SPDs occurring in network communication. The ETCM based on the relative error between the estimated signals is introduced to reduce the burden of communication and achieve the purpose of saving network resources. The measurement information on each sensor node can be transmitted to its neighboring nodes only when the certain triggering condition is satisfied. In view of WSNs, a distributed filtering error system model is firstly built to take SPDs together with multiplicative noise into account. Then, sufficient conditions are established to ensure both the prescribed H∞ performance requirement and the filtering error variance constraint over a finite-horizon. Moreover, the design method of filter parameters is given in terms of matrix inequalities. Finally, a numerical example is presented to verify the effectiveness and feasibility of the proposed distributed H∞ filters design scheme.
Qiuhong Qian,Jiaxin Yang,Dongyan Cao,Yan You,Jie Chen,Keng Shen 대한부인종양학회 2014 Journal of Gynecologic Oncology Vol.25 No.4
Objective: To explore appropriate treatment modality of microinvasive cervical cancer (MIC) and to analyze prognosis and risk factors of recurrence. Methods: A cohort of 324 Chinese patients with MIC diagnosed and treated at Peking Union Medical College Hospital was retrospectively reviewed. Demographic features, treatment modalities, pathologic parameters, risk factors of residual disease, survival and risk factors of recurrence were analyzed. Results: Of all patients, 280 cases were staged IA1 and 44 cases staged IA2 MIC. Twenty-five cases (7.7%) were found to have lympho-vascular space involvement (LVSI), but no parametrial involvement or ovarian metastasis was detected. Only one staged IA2 patient with LVSI was found to have lymph node metastasis. 32.4% patients (82/253) had residual diseases after conization. No significant difference of LVSI, lymph node metastasis and residual disease after coniztion was found between stage IA1 and IA2 MIC patients. Multivariate logistic analysis showed positive margin was the only independent risk factor of residual disease after conization (odds ratio [OR], 4.18; p<0.001). Recurrence occurred in five cases, but no mortality was found. Progression-free survival for stage IA1 patients treated by conization or hysterectomy was similar (92.3% and 98.8%, p=0.07). Cox regression analysis revealed LVSI as an independent risk factor for recurrence in stage IA1 patients (OR, 12.14; p=0.01). Conclusion: For stage IA1 patients with negative resection margin and no LVSI, conization can be an ideal treatment modality. For stage IA2 patients, more conservative surgery such as simple hysterectomy may be considered. LVSI is an independent risk factor for recurrence in patients with stage IA1 cervical cancer.