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This paper addresses the stability issues of delayed nonlinear systems of the form x(t) = A(t, x(t), x(t − d(t)))x(t)+B(t, x(t), x(t − d(t)))x (t − d(t)), that is, the system matrices depend on time and the present and past states. By means of a trajectory-based comparison approach, the stability of original nonlinear system is transformed into that of a positive linear system called comparison system...
The multi-tracking problem of second-order multi-agent system with communication delay is investigated in this paper. An intermittent control protocol is proposed on the basis of only relative position measurement, where the information of agent is quantized before transmission using stochastic quantization scheme. On the basis of algebraic graph theory, stochastic quantization and stability theory,...
In this paper, we focus on practical issues related to the implementation of real time locating systems (RTLS) in the context of vehicle-to-infrastructure (V2I) communication. These emerging concepts are an important part of novel areas such as Smart Cities and Intelligent Transportation Systems (ITS). Some problems encountered during the development of these systems result from the limitations of...
Traditional vehicular routing protocols cannot accurately foresee future location of each vehicle for efficient packet forwarding. Recently, the data mining approach has been applied to analyze huge vehicle trajectory data. In this paper, we propose a novel trajectory-based routing (NTR) protocol to improve the packet replication efficiency of vehicles in the Vehicular Delay Tolerant Network (VDTN)...
In this paper, we investigate the state estimation problem for timed discrete event systems with communication delays. The problem is how to estimate the current state under the uncertainties caused by partial observations and random observation delays. We construct an augmented automaton after analyzing the influence mechanism of random observation delays existed between the supervisor and the timed...
This paper is concerned with the problem of the annular finite-time filtering for a class of switched systems by using an event-triggered communication scheme. Compared with the existing results of finite-time stability for the switched systems, during the specific time interval, the annular finitetime stability not only requires that the state trajectory does not exceed an upper bound but also is...
A sliding mode control approach is proposed to synchronize a class of delayed neural networks in a finite time, where the mismatched parameters and neuron activation functions are taken into account. In the controller design, a sliding mode manifold is directly defined by the synchronization error, which greatly reduces the synchronization time. Its concise design process and its ability to synchronize...
This paper presents a trajectory generation mechanism based on machine learning for a network of unmanned aerial vehicles (UAVs). For delay compensation, we apply an online regression technique to learn a pattern of network-induced effects on UAV maneuvers. Due to online learning, the control system not only adapts to changes to the environment, but also maintains a fixed amount of training data....
In mobile communications, the wireless channel has been widely considered to be time-variant. To statistically model the time-variant channels, a power weighted dynamic multi-path components (MPCs) tracking algorithm is proposed in this paper, which is based on multiple-target tracking. The problem of seeking potential position is considered as a maximum a posteriori (MAP) estimation in a Markov random...
This paper is concerned with an optimal control problem of anticipated forward-backward stochastic differential equation with delay. We obtain an explicit representation of optimal control for delayed problem first, and then use it to solve a delayed cash management problem with recursive utility. The explicit optimal control strategy of the investor is given and some numerical simulations are used...
In this paper, the synthesis method, self-stable region (SSR) approach, is applied to uncertain and time delay system. The chattering phenomenon is the main drawback of sliding mode control (SMC), and the response delay of actuators is a primary cause. However, the existence of time delay is common in real world. The SSR approach is an improvement for SMC method. A simple second order system with...
Utilizing multivariable data, the motion state of complex nonlinear systems could be well described by phase space reconstruction theory. In this paper, a novel fusion data algorithm is proposed via local weighted zero-order prediction algorithm. For effectively reserving the motion information of original system, the weighted coefficients are rationally designed Euclidean distance. Experimental results...
In this work we consider a variety of notions related to external stability, i.e., input-to-output stability, for nonlinear systems with time delays. As known for delay-free systems, there are different ways of defining precisely the notions of input-to-output stability that are intrinsically different from each other. The main objectives of this work are to illustrate the relations among the different...
Packet routing is important for Vehicular Delay Tolerant Networks (VDTNs).Opportunistic routing algorithms based on historical records are insuciently accurate in forwarder selection due to movement randomness of vehicles. Trajectory-based routing algo- rithms tackle vehicle movement randomness but cannot be directly used in VDTNs due to the dependence on APs. In this paper, we develop a distributed...
This research assesses optimal low-power communication between devices in dynamic networks, considering delay and disruption tolerance. Given each device's motion and power output, it is possible to determine a path requiring the least power for communication, power usage, and time step after spatially correlated errors in disruption zones of networks. This work gives the proof of determining disruption...
This paper deals with the Terminal Control Area Aircraft Scheduling Problem and the Aircraft Trajectory Optimization Problem for landing operations in a busy terminal control area. The first problem requires to compute a conflict-free schedule for all aircraft minimizing the overall aircraft delays, while the second deals with the computation of a landing trajectory for each aircraft which minimizes...
Connected vehicle (CV) and autonomous vehicle (AV) technologies are rapidly advancing. Traffic control for future hurricane evacuation can be radically different compared to the current approaches in use. Extensive modeling research and limited field deployments have demonstrated the benefits of CV, AV technologies in achieving higher mobility, safety, and environmentally friendly solutions. One area...
Segment Growing Neural Gas (Segment-GNG) has been recently proposed as a new spatiotemporal quantization method for time series. Unlike traditional quantization algorithms that are prototype-based, Segment-GNG uses segments as basic units of quantization. In this paper we extend the Segment-GNG model in order to deal with time series prediction. First Segment-GNG makes a quantization of the trajectories...
In this paper, input delay theory is used as a key tool to design an effective anti-windup compensator which is applied to active queue management (AQM) at router to avoid congestion. The desired anti-windup compensator can be computed by the solution of convex optimization problem. The simulation results suggest that our methodology is effective and is an improvement over previous ones.
The use of small and miniature unmanned aerial vehicles (UAVs) for remote sensing and surveillance applications has become increasingly popular in the last two decades. The intermittent connectivity in a sparse UAV network makes it challenging to efficiently gather sensed image data. This paper investigates the communication of sensed images from a set of mobile survey UAVs to a static base station...
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