Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach

Song, Yan; Li, Ming; Luo, Xin; Yang, Guisong; Wang, Chongjing

doi:10.1109/tii.2019.2908958

Cited by 106 publications

(19 citation statements)

References 32 publications

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“…with 0(1) denoting matrices whose entries are 0(1) with appropriate dimensions. Then, (22) tells that…”

Section: ℜ Of the Tc Setmentioning

confidence: 99%

“…Remark 2. Note that inequality (30) is bilinear due to terms  r, 22 and  r, 33 , which can be handled by solvers like PENBMI. For convenience, an initially feasiblē * is chosen to replacē.…”

Section: Lemmamentioning

confidence: 99%

“…As the communication technology develops rapidly, network has been extensively applied into various fields owing to its whelming merits such as low‐cost, easy‐to‐implement, and spatial distribution. A system where components such as sensors, controllers, and actuators are connected via wireless network is called the networked control system (NCS) . In order to reduce the transmission burden for networks with the limited capacity, the event‐triggered mechanism has been proposed in the literature as an alternative to traditional time‐triggered mechanism and received much focus and widely applied into NCSs in recent years .…”

Section: Introductionmentioning

confidence: 99%

“…A system where components such as sensors, controllers, and actuators are connected via wireless network is called the networked control system (NCS). [21][22][23][24][25] In order to reduce the transmission burden for networks with the limited capacity, the event-triggered mechanism has been proposed in the literature as an alternative to traditional time-triggered mechanism and received much focus and widely applied into NCSs in recent years. [26][27][28][29][30] In the event-triggered mechanism, the state or the output will be fully taken into account to construct a triggering condition, where data will be transmitted only when such a condition is satisfied.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dynamic output‐feedback fuzzy MPC for Takagi‐Sugeno fuzzy systems under event‐triggering–based try‐once‐discard protocol

Dong

Song

Wang

et al. 2019

Intl J Robust & Nonlinear

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Summary The fuzzy model predictive control (FMPC) problem is studied for a class of discrete‐time Takagi‐Sugeno (T‐S) fuzzy systems with hard constraints. In order to improve the network utilization as well as reduce the transmission burden and avoid data collisions, a novel event‐triggering–based try‐once‐discard (TOD) protocol is developed for networks between sensors and the controller. Moreover, due to practical difficulties in obtaining measurements, the dynamic output‐feedback method is introduced to replace the traditional state feedback method for addressing the FMPC problem. Our aim is to design a series of controllers in the framework of dynamic output‐feedback FMPC for T‐S fuzzy systems so as to find a good balance between the system performance and the time efficiency. Considering nonlinearities in the context of the T‐S fuzzy model, a “min‐max” strategy is put forward to formulate an online optimization problem over the infinite‐time horizon. Then, in light of the Lyapunov‐like function approach that fully involves the properties of the T‐S fuzzy model and the proposed protocol, sufficient conditions are derived to guarantee the input‐to‐state stability of the underlying system. In order to handle the side effects of the proposed event‐triggering–based TOD protocol, its impacts are fully taken into consideration by virtue of the S‐procedure technique and the quadratic boundedness methodology. Furthermore, a certain upper bound of the objective is provided to construct an auxiliary online problem for the solvability, and the corresponding algorithm is given to find the desired controllers. Finally, two numerical examples are used to demonstrate the validity of proposed methods.

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“…with 0(1) denoting matrices whose entries are 0(1) with appropriate dimensions. Then, (22) tells that…”

Section: ℜ Of the Tc Setmentioning

confidence: 99%

Section: Lemmamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic output‐feedback fuzzy MPC for Takagi‐Sugeno fuzzy systems under event‐triggering–based try‐once‐discard protocol

Dong

Song

Wang

et al. 2019

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

show abstract

“…As is well known, NCS is a typical closed‐loop feedback control system which fulfills the data exchange via network by combing the control strategy with the computer technology. NCSs have many whelming merits such as high‐reliability, low economy expense and easy maintenance, which have been been widely applied in industrial process control, smart power grid, intelligent transportation and other fields; see References 21‐25 and the references therein. However, due to the limitation of the network bandwidth and the transmission capacity, network congestions and data collisions might happen during the data transmission through a shared communication network, which is a serious potential in deteriorating the system performance or even making the system unstable.…”

Section: Introductionmentioning

confidence: 99%

Robust model predictive control for multirate systems with model uncertainties and circular scheduling

Wang

Song

Wei

2020

Intl J Robust & Nonlinear

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In this article, the robust model predictive control (RMPC) problem on the basis of output feedback (OF) is dealt with for a class of multirate time-varying systems with polyhedral uncertainties and limited-bandwidth channels. For alleviating the communication burden caused by the limited transmission capacity, the Round-Robin (RR) protocol is exploited to allocate transmission permissions in a pre-scheduled order. Meanwhile, in order to reduce the communication cost while ensuring the system performance, the multirate mechanism is presented to govern the update rate of the plant and the sampling rate of the sensors. By means of the lifting technique, given a uniform sampling rate, a comprehensive augmentation system is established on the fixed moving horizon. The objective of the addressed RMPC problem is to design a set of OF-based RMPC controllers such that, in the presence of the multirate scheme and the RR transmission protocol, the desirable performance is guaranteed. Then, the desired RMPC gains are directly obtained, with the help of inequality analysis technique and RR-dependent Lyapunov-like approach, to ensure the asymptotic convergence of system states. Two illustrative examples are given, which include a DC motor system and a numerical simulation example, to demonstrate the effectiveness of the proposed protocol-based RMPC controller design strategy.

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An enhancedLTEhandover scheme for high‐speed railway application

Sadrabadi

Ardalani

Bakhshi

2021

Trans Emerging Tel Tech

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High‐speed railway (HSR) is one of the most important modes of passenger transport with many advantages, such as; safety, high capacity, short intervals, and comfort. To provide high speed mobile data to the passengers of HSR for infotainment services, the best option is LTE or LTE‐R. The LTE‐R is a railway specialized network under development. The very high speed of trains in HSR, which are far faster than conventional commuters, counteracts the seamless data service and deteriorates the QoS which is mainly due to handover (HO) failure when the user equipment (UE) is moving very fast. Conventional LTE HO schemes are not designed for very high speed of HSR. Some research studies were done to provide HO schemes with more adaptation with the HSR condition but the desired specifications are not fully satisfied. In this article, we have devised a new S3 scheme for LTE HO based on time‐to‐trigger parameter in which the required ETSI's HO success rate standard at very high speed moving UE is met with a good safety margin. In addition, the presented scheme shows better performance in terms of HO latency, reference signal received power gap and handover operation probability. To do the job, an accurate mathematical analysis was developed for the proposed S3 scheme, conventional A3 and A4 schemes and the H2 scheme that we found to be the best one out of previous research studies. The results obtained have been verified by simulations.

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Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach

Cited by 106 publications

References 32 publications

Dynamic output‐feedback fuzzy MPC for Takagi‐Sugeno fuzzy systems under event‐triggering–based try‐once‐discard protocol

Dynamic output‐feedback fuzzy MPC for Takagi‐Sugeno fuzzy systems under event‐triggering–based try‐once‐discard protocol

Robust model predictive control for multirate systems with model uncertainties and circular scheduling

An enhancedLTEhandover scheme for high‐speed railway application

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