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Device-to-device communications aim to enhance service coverage, particularly at cell edges or in black spots within a neighborhood through relaying and forwarding. In this context, each device is free to move independently, and will therefore change its links to other devices frequently due to connectivity issues. During these movements, a device may be requested to forward traffic unrelated to its...
Underwater gliders are widely used in ocean survey operations due to their unique capability of long-range cruising with low energy consumption. As a critical technique, accurate attitude control is challenging due to the highly nonlinear, heavily coupled system model of an underwater glider with uncertain hydrodynamic parameters and suffering from environmental disturbances. To investigate this problem,...
Building language models for source code enables a large set of improvements on traditional software engineering tasks. One promising application is automatic code completion. State-of-the-art techniques capture code regularities at token level with lexical information. Such language models are more suitable for predicting short token sequences, but become less effective with respect to long statement...
Piezoelectric ceramics(PZT)actuator has been widely used in flexure-guided nanopositioning stage because of their high resolution. However, it is quite hard to achieve high-rate precision positioning control because of the complex hysteresis nonlinearity effect of PZT actuator. Thus, an online RELM algorithm with forgetting property(FReOS-ELM) is proposed to handle this issue. Firstly, we adopt regularized...
This paper investigates the dynamic characteristics of a coaxial magnetic gear (CMG) system by using the analytical model of the CMG, which provides a quick and accurate method to predict the dynamic performance of the CMG. The dynamic characteristics under different conditions such as start-up and the abrupt load changes are studied. Moreover, the dynamic pull-out torque which may cause loss of synchronism...
Based on the analysis of macro-micro composite driving positioning technology, a high precision macro-micro positioning stage integrated a voice-coil-motor (VCM) and piezoelectric actuator (PZT). The stage can combine the characteristics of large stroke and high acceleration of the VCM and the high precision and heavy load of the PZT. In this paper, a single axis positioning stage is developed to...
Jet dispensing is one of the key technologies in LED packaging as the consistency of the dispensed volume can directly affect the LED color and quality. Studying the dynamics of silicone-phosphor during the jet dispensing process is of great value. In this paper, a multi-physical model was developed and verified by the experiments. The silicone-phosphor thread profile during the jet dispensing process...
Motion control system is the core component of high density packaging equipment, the characteristics of its movement performance directly determines the performance and quality of the high density packaging equipment. Based on this, this paper presents a method to enhance the dynamic performance and setting performance of motion control system by means of fine tuning for the movement parameters of...
Ceramic nanomaterials are attractive due to the functional properties such as optical, electronic, thermal behaviors as well biocompatibility. In this work three kinds of functional ceramic nanocrystals, i.e. SiC (hexagonal platelet-like), TiC (truncated-octahedral) and TiN (cubic structured) were synthesized by a facial DC arc-discharge plasma process. Preparation atmospheres were chosen for the...
As the rapid progress of science and technology, the free-form surface optical component has played an important role in spaceflight, aviation, national defense, and other areas of the technology. While the technology of fast tool servo (FTS) is the most promising method for the machining of free-form surface optical component. However, the shortcomings of short-stroke of fast tool servo device have...
Accurate and robust state estimation is a fundamental problem in signal processing. Particle filter is an effective tool to solve the filtering problem in nonlinear stochastic dynamic systems. However, when the system is mean-field dependent and the data is high-dimensional in spatial and temporal domain, the estimator may become inaccurate or even diverge. In this paper, we propose a Correlative...
In this paper, we propose a self-triggered robust model predictive control (MPC) algorithm for constrained linear discrete-time systems subject to additive disturbances. First, worst case scenarios are considered in the MPC problem formulation to achieve robust constraint satisfaction. Second, a self-triggered control scheduler is proposed to minimize the frequency of performing optimization and the...
This paper considers the straight-line trajectory tracking control problem of a class of underactuated underwater vehicles with bounded disturbances and hard input constraints. A constrained robust straight-line tracking controller based on model predictive control (MPC) is designed, and an event-triggered scheduling strategy is incorporated to alleviate the computation load of MPC. Furthermore, sufficient...
In last two years, the rapid development of Internet based ride-sharing has brought great changes to travel pattern of residents. However, few studies has been made to find out the unique travel patterns of Internet based ride-sharing. In this paper, License plate data at the Beijing Capital International Airport area are used to study the travel patterns of taxis and private cars. By comparing the...
Particle filter is an effective tool for vehicle tracking. However, we need to maintain a large number of particles to keep a reasonable tracking accuracy for multi-target tracking in large scale state space. This paper proposes a new distributed mean-field-type filter to handle those noisy, partial-observed and high-dimensional data. The state space is decomposed and the particles are deployed locally...
The combination of observed data and dynamical models of mean-field type over networked systems is a challenging problem because of non-linearity, high dimensionality and partial observations. In many networked systems, the effective extraction and utilization of the information contained in observed data should be accomplished by exploiting the availability of accurate predictive, proactive tools...
In order to solve the conflict between large stroke and high precision for positioning systems in the chip packaging area, macro/micro composite positioning strategy is an effective strategy. This paper presents the development of a flexure-based XYθ compensator that can generate end-effector motion in the range of around 100 μm and with sub-nanometer resolution; in particular, a parallel configuration...
By mining electricity data characteristics and its relationship with environmental variables, this paper defines the electricity month-season ratio (EMSR) based on trend extrapolation and proposes a hybrid prediction method combining LSSVM and EMSR. The actual electricity consumption data of A Province is used for the case study. The prediction error of three methods are compared which are BP neural...
In order to meet the higher requirements of the future information warfare on the electronic RF system of tank armored platform, this paper presents that the integrated RF system should be applied to the new armored platform. The system is designed with the method of synthetic aperture; it can complete the functions such as airborne target search, precise tracking, threat assessment, electronic warfare,...
With the rapid development of sensor technology on vehicles, more and more vehicles are checked from artificial detection to auto monitoring. A great number of real-time data acquired from sensors provides important foundation for PHM application on vehicles. Aiming at the special mining vehicle, it proposes the solution for real-time monitoring, fault diagnosis and health management based on the...
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