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This paper addresses the stability results of a Markov jump linear system with parameter uncertainties and time-varying delay. A geometric sequence based method is used for delaypartitioning. Then, a modified geometric sequence division (GSD) dependent augmented Lyapunov-Krasovskii functional (LKF) is constructed with respect to the state variables forming in geometric progression. By employing the...
In this work, we model route updates as part of Quality of Service (QoS) Virtual Network Function (VNF) in Software-Defined Networking (SDN) architecture. In SDN, the control plane and the data plane are decoupled. This allows high flexibility by providing abstractions for network management applications and being directly programmable. However, reconfiguration and updates of a network are sometimes...
There are two broad safety related message categories in vehicular networks: emergency and periodic messages that should share the scarce wireless resource simultaneously. Emergency messages deliver time-critical information with guaranteed reliability, e.g., road-safety information, whereas periodic ones convey normal status update information, e.g., vehicular positions, that is less time- and loss-critical...
The IEEE 802.15.4 standard does not allow to make dynamic adjustments to the inactive portion of the superframe, thus affecting the duty cycles of the coordinator and all the devices attached to it. Prior works in this direction are either based on superframe occupation ratio or buffer occupancy/queue length of the transmitting nodes. In this paper, we present the respective limitations of both these...
Joint pushing and proactive caching holds the promise of significantly increasing the throughput and decreasing the latency of content-centric wireless networks. In this work, we import the pushing and caching mechanism into a traditional packet-oriented network for decreasing the average queueing delay. Since the decreasing relies on extra costs paid for the pushing-caching mechanism, such as the...
During the past a few years, control systems are greatly influenced by the evolution of networked control systems (NCSs). However, challenges such as time-delay and packet dropouts in NCSs are still breaking its stride. To analyse and tackle those constraints, Markov chains had been widely used to model time-delay and packet dropouts, and a set of controllers had been designed thereafter. Nevertheless,...
The fault detection and estimation problems are investigated for a class of Markov jump linear systems (MJLS) with state delays based on the particle filter. For MJLS subjected to the actuator fault, we use particle filter to estimate the Markov parameter, then the states are estimated depended on the Kalman filter. According to the estimation result, a residual is designed by using the sliding-time...
We analyze the MX/G/1 queue in the framework of Markov decision processes (MDPs). The service times become known upon arrival, and each job incurs a cost according to a given cost function. The value function is a central concept in MDP theory as it characterizes the value of the system's state with respect to future developments. We derive compact expressions for the generating functions for general...
Internet of vehicles (IoVs) emerges as a promising technology to facilitate vehicular wireless communication by approving vehicle-to-everything (V2X) services for intelligent transportation systems including vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I) and vehicle-to-pedestrian (V2P) services. V2V networks have been rapidly developed to support short distance data transmission among vehicles...
The problem of delay-dependent observer-based robustly passive control is addressed for neutral type descriptor Markov jump systems with time-varying delays. The parameter uncertainties of the system are assumed unknown and norm-bounded. Using Lyapunov-Krasovskii functional method and weighted matrix, a delay-dependent robustly passive condition for closed-loop system is given. Then, the sufficient...
This paper is concerned with the optimal Markov jump linear filter problem for Markov jumping parameter system with multi-channel observation delays and packet losses, where the jumping parameters are assumed to be known up to the present time. Firstly, by defining an equivalent delay-free observation sequence, the optimal jumping filter problem is transformed into the one of delay-free system which...
This paper investigates the problem of mean square finite-time passivity for discrete-time Markov jump neural networks with time delays and stochastic perturbations. In the measurement equation, a class of sensor nonlinearities are considered, which cover the standard Lipschitz condition as a special one. A sufficient mean square finite-time boundedness condition is established based on Lyapunov-like...
To better reorganize and optimize business process, Petri nets is a good formal tool. However, the prototype Petri nets can't fully describe the related properties of the business process. In this paper, the time and cost attributes are added to the Petri nets and it is called the extended generalized stochastic Petri nets. On this basis, the performance evaluation model is proposed. Execution efficiency...
In this paper, we derive the average message delivery of epidemic routing with broadcasting ACKs (ACKnowledgements) in DTN (Delay/Disruption-Tolerant Networking). The epidemic routing achieves near-optimal performance in terms of the message delivery delay when there exists only a single message in the network. However, if there exist multiple messages, epidemic routing generates excessive amount...
In this paper, the problem of H∞ nonlinear stochastic stability analysis for a class singular systems with Markovian jumping parameters and time-varying delay is addressed. The discrete delay is assumed to be time-varying and belong to a given interval. Based on LMIs (linear matrix inequality) approach, a delay depended condition is proposed, which ensure the singular system is stochastically stable...
The quantized feedback controller is investigated for networked control systems with network delay, quantization and data packet loss. Firstly, the packet dropout, network delay and quantization are considered simultaneously, the random variation of packet dropout is illustrated by Markov chain. Then the network system is described by Markov jump system, the influence of the quantization error can...
This paper is to investigate the linear minimum mean square error estimation for Markovian jump linear systems subject to unknown Markov chain modes, multi-channel observation delays, and data losses. Firstly, the original system is transformed into an extended system by defining a new state variable. The new state variable is concerned with the indicator function of the Markov chain and the original...
This paper deals with the state feedback stabilization problem of networked control systems (NCSs). The time-delay from sensor to controller (S-C) and time-delay from sensor to actuator (C-A) are both considered which are modeled as finite state Markov chains. The transition probabilities of S-C delay and C-A delay are both assumed to be partly unknown. First, the closed-loop system model which contains...
Wireless sensor networks have long been characterized by short range communications. Lately, long range wireless sensor networks such as LoRaWAN (long range wide area network) have emerged, increasing the communication range at the cost of reduced bit rate. This paper focuses on the MAC layer of LoRaWAN and studies communications from a gateway to an end-device. We propose a Markov chain model to...
Proliferation of mobile digital devices has posed major challenges for design and implementation of Wireless Local Area Networks (WLANs), leading to stringent quality of service (QoS) requirements. Extreme burstiness and correlation characteristics of multimedia traffics generated by digital devices require accurate modelling and analysis to provide satisfactory end user experience. Most existing...
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