The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Consensus of multi-agent systems under random networks has attracted considerable attention. In previous literatures, it is often assumed that the agents communicate through Markov switching networks. However, in some engineering applications, the available network information is the expectation of the Laplacian matrix and the time-varying networks are not proper to be regarded as Markov switching...
This paper contributes to the convergence analysis of iterative learning control (ILC) for a linear time-varying system with measurement data dropouts, where the data dropout problem is formulated by a Markov chain model. The widely used Bernoulli model for data dropout is a special case of the Markov chain model. A regulating parameter is added to the classic P-type update law. The mean square and...
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...
Correct knowledge of noise statistics is essential for an effective estimator in maneuvering target tracking. In practice, however, the noise statistics are usually unknown or not perfectly known. To deal with the estimation problem in linear discrete-time systems with Markov jump parameters, where the measurement noise covariance is unknown, a novel approach is presented in this paper. This approach...
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 discusses the finite horizon H2/H∞ control for discrete-time time-varying systems with infinite Markov jumps parameters and multiplicative noise. Firstly, we present a stochastic bounded real lemma, which is crucial to solve the mixed H2/H∞ control problem of the concerned systems. A sufficient and necessary condition for the existence of the state feedback H2/H∞ controller is represented...
This paper studies the problem of H∞ filter design for continuous-time nonhomogeneous Markov jump systems. The time-varying transition probabilities in continuous-time domain are considered to be in a polytopic type. By constructing a Lyapunov function and fully considering the information of filter parameters, the stochastic stability and a prescribed H∞ performance index are guaranteed in terms...
This article is concerned with resilient asynchronous H∞ output feedback controller designed for a set of Markov jump linear systems (MJLSs). By Finsler's Lemma, and with the help of two sets of slack variables, the problem of inter connection between the Lyapunov matrices and the system matrices was solved. Resilient asynchronous controller is designed to ensure the controller has the character of...
This paper investigates the Robust model predictive tracking control for constrained networked control systems with Markovian packet dropout. By introducing a packet dropout compensation strategy and an augmented Markov jump linear model with polytopic uncertainties, the effects of data loss on the system performance are considered simultaneously. Input, and output constraints are also incorporated...
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...
In this paper, we analyze the optimal control policy to minimize the average costs in a retrial queueing system. At any decision epoch, the manager uses admission probabilities a's to control the arriving customers and determines a cancellation price c for the unsuccessful retrial customer, which will lead to him out of system with the probability of G(c) otherwise back to the orbit. We cast the problem...
To obtain a better performance of trajectory tracking for hypersonic glide vehicles (HGVs), this paper focuses on enhancing the accuracy of tracking model, an effective method with a modified tracking model is proposed. Firstly, according to the skip glide trajectory of HTV-2, a simplified trajectory model is established to describe the periodical characteristic of the trajectory. Secondly, a modified...
The instability of wireless links makes the choice of forwarding nodes have too many possibilities in opportunistic routing. In this paper, the Markov decision process (MDP) is used to model the whole packet forwarding process from the source node to the destination node, which facilitates making reasonable decisions when the sender selects the forwarding nodes. By solving a finite-state MDP problem,...
This paper investigates the double randomness matching mechanism between electric vehicle (EV) charging and wind power in a distribution network. The Markov Decision Process is employed to model the uncertainties of both EV and wind power. The optimized dispatching models and strategies for EV charging under multi-time scale are developed to achieve the objective function. The goal of this function...
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...
This paper addresses the problem of maximum power point tracking for photovoltaic grid-connected system based on Markov model. Considering the stochastic characteristic of solar irradiation, a new maximum power point tracking method based on Markov model is proposed. Four discrete states are defined from a Markov chain according to the collected solar irradiation data, then the probability transition...
The emergence of cooperative behavior is fundamental for a society to thrive. Some experimental studies have showed that reward outperforms punishment in repeated public goods games. On the other hand, recent theoretical researches have suggested that social exclusion can do better than costly punishment for resisting free riders. However, it remains unknown which one can be more effective for maintaining...
In this paper, we study the problem of identifying the source of network diffusion processes by using the contact networks and sampled infections. The dynamic processes are described by the susceptible-infected (SI) model and a maximum likelihood (ML) estimator is formulated for identification of the source. We propose a two-stage method that first locates a set of suspected source nodes and then...
This paper investigates networked control systems using random sampling method which can be tuned by a continue time Markov chain. The sampling instants are modeled by using jumps between states of a continue time Markov chain. Whenever there is a jump from a state in the Markov chain to a state that represent a subsystem in the networked system, we sample that particular subsystem and transmit its...
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...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.