This paper investigates variation of infinite horizon (IH) performance of Model Predictive control (MPC) without constraints as the optimization horizon changes. By exploring properties of the Difference Riccati Equat...
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作者：
Lei HouL. Hou is with the Department of Automation
Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China hou at ***
— The authors propose an original camera synchronization technique to generate temporally-aligned vision frames during image acquisition, based on phase-locked loop (PLL), and is applicable to low-cost wireless visio...
— The authors propose an original camera synchronization technique to generate temporally-aligned vision frames during image acquisition, based on phase-locked loop (PLL), and is applicable to low-cost wireless vision sensor networks. No dedicated receivers are required so that the algorithm is applicable to vision sensors with only data storage for image or image-feature sequences. A Manchester Encoding inspired illumination modulation method can carry sequential information owing to serial communication, as well as satisfactory robustness to disturbances, such as mobile targets, fluctuating illumination amplitude, and moving cameras, etc., approved by experiments that a 1,000-Hz vision sensor is locked to 500-Hz modulated LED illumination with only 24- μ s jitters.
A large amount of networks are found to divide naturally into modules or communities within which the network connections are tight but between which they are sparser. However, it is still not clear that whether spars...
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A large amount of networks are found to divide naturally into modules or communities within which the network connections are tight but between which they are sparser. However, it is still not clear that whether sparse modules in which the nodes are sparsely connected internally and densely connected with other sparse or cohesive modules possibly exist and have functional meaning in complex networks. In this study, we first test BinTree Seeking method that detects both cohesive and sparse modules in a network on 4 networks with known modular structure. And then, we further study modular structure of 23 complex networks of different types and scales, and promising results indeed reveal that the sparse modules composed by the cohesively isolated nodes widely co-exist with the cohesive modules. Furthermore, the two types of modules are found often spatially closely related with each other. Compared with the cohesive modules, sizes of sparse ones are generally smaller.
In this paper, we study the global asymptotical synchronization problem of delayed complex dynamical networks with a pre-given collection of general connection topologies where synchronization cannot be achieved by us...
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In this paper, we study the global asymptotical synchronization problem of delayed complex dynamical networks with a pre-given collection of general connection topologies where synchronization cannot be achieved by using any topology alone in this collection. By using single Lyapunov and multiple Lyapunov function methods, two global asymptotical synchronization conditions with the design of switching within the pre-given collection of topologies are presented for synchronizing such complex dynamical networks. According to the topological structure of the connection matrices, we consider more general forms. Simultaneous triangularizability, diagonalizability or even symmetry of the connection matrices is no longer assumed. Finally, simulation results are used to demonstrate the effectiveness of the proposed results.
作者：
Shitao TuLanjuan ZhuDepartment of Automation
Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China 200240 China
Extraction-Transformation-Loading (ETL) plays an important role in data warehouse. Typically, performance is considered the main factor in ETL projects. Actually, faulttolerance and many other aspects influence the re...
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ISBN:
(纸本)9781467327626
Extraction-Transformation-Loading (ETL) plays an important role in data warehouse. Typically, performance is considered the main factor in ETL projects. Actually, faulttolerance and many other aspects influence the results of ETL greatly especially when the time period of projects are long and transformation rules cannot be determined from beginning, such as the situation of changing business logic. To satisfy the fault-tolerance and data validation in such kinds of situation, in this paper, we introduce a fault-tolerant algorithm which gives Redo strategy for different process interrupt scenarios. Moreover, we present a compound refresh mode consisting of full and incremental refresh to guarantee data correctness in changing business logic as well as timely data migration.
We propose an L 1/2 -based Iterative Matrix Completion algorithm for recovering the data transmitted with limited transmission window in the lossy environment to combat the high packet-loss rate. The transmission is r...
We propose an L 1/2 -based Iterative Matrix Completion algorithm for recovering the data transmitted with limited transmission window in the lossy environment to combat the high packet-loss rate. The transmission is regarded as the sampling process of Matrix Completion, hence the existing transmitting protocol or coding methods can be used to gain more samples and not mutually exclusive to the algorithm. The simulations with real world data show the effectiveness and efficiency of the scheme even the data are transmitted in the simplest way.
This paper considers the boundary control of a star-shaped open-channel network modeled by the Saint-Venant equations. We present the boundary feedback stabilization of the Saint-Venant equations by means of a Riemann...
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This paper considers the boundary control of a star-shaped open-channel network modeled by the Saint-Venant equations. We present the boundary feedback stabilization of the Saint-Venant equations by means of a Riemann invariants method. The estimation of the parameters satisfying the stability condition is deduced. The boundary feedback control is developed to guarantee that the solution of the controlsystem decays exponentially, only by taking the water levels at the gate boundaries as the feedback.
The control and management problem for large-scale complex urban traffic network is not yet successfully addressed. There are still many difficulties in controlling such large systems, e.g. complexity, high dimension,...
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ISBN:
(纸本)9781479929153
The control and management problem for large-scale complex urban traffic network is not yet successfully addressed. There are still many difficulties in controlling such large systems, e.g. complexity, high dimension, multiple control objectives, and uncertainties. In the paper, a multi-level MPC hierarchy is proposed to address these difficulties for the control of large-scale urban traffic networks. Under the control hierarchy, a multi-level MPC algorithm is proposed, which includes three levels, the demand balance MPC, the subnetwork MPC, and the intersection controller from top to bottom. A case study is carried out to evaluate the proposed algorithm. The simulation results illustrate the effectiveness of the multi-level controller.
A multi-type lane detection and recognition method using onboard around-view system was proposed, which could provide distinct road information around the vehicle and was less susceptible to occlusion by other vehicle...
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A multi-type lane detection and recognition method using onboard around-view system was proposed, which could provide distinct road information around the vehicle and was less susceptible to occlusion by other vehicles. Firstly, the principle direction of the image was rectified based on Hough transform, as lane markings close to the vehicle are straight. Then x space feature histogram was used to detect regions of interest and y space feature histogram was used to recognize the properties of lane markings, such as number of lines, solid/dashed, and so on. Color information was analyzed in the HSV color space. Finally, a Kalman filter and confidence measurement was used to reduce the impact of noise. Experimental results demonstrated the effectiveness of the proposed method.
In the present work,a new subspace decomposition approach of fault deviation is developed for fault diagnosis via reconstruction for principle component analysis(PCA) based monitoring *** focuses on decomposing the fa...
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ISBN:
(纸本)9781479900305
In the present work,a new subspace decomposition approach of fault deviation is developed for fault diagnosis via reconstruction for principle component analysis(PCA) based monitoring *** focuses on decomposing the fault effects in different monitoring subspaces,principal subspace(PCS) and residual subspace(RS),and finding the significant fault deviations that are responsible for the concerned alarming monitoring *** is achieved by analyzing the relative changes of fault process in comparison with the normal status and designing a two-step feature decomposition *** fault data space is decomposed into two different parts for the purpose of fault reconstruction in PCS and RS of monitoring system *** is composed of the concerned fault deviations that contribute to alarming monitoring statistics which are thus significant to remove the out-of-control *** other is composed of general variations that are deemed to follow normal rules or insignificant to remove alarming monitoring *** feasibility and performance are illustrated with experimental data.
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