This paper considers the problem of state estimation and unknown input reconstruction of a class of connected heterogeneous LTI MIMO systems. Local high order sliding mode observers at each node of the network are des...
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This paper considers the problem of state estimation and unknown input reconstruction of a class of connected heterogeneous LTI MIMO systems. Local high order sliding mode observers at each node of the network are designed for this purpose. The proposed method, under some network structural conditions, is inherently robust, nonlinear and totally independent of the time-varying network topology. Knowledge of the number of nodes that belong to the network is not required. At the supervisory level, decentralized control signals are computed based on the state estimates in order to operate the networking synchronization. By mean of simulation, the effectiveness of the proposal procedure is shown.
Recently, DC distribution systems become hot issues since DC type loads increase rapidly according to the expansion of IT equipment such as computers, servers, and digital devices; DC type loads will cover 50% for all...
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ISBN:
(纸本)9781467351942
Recently, DC distribution systems become hot issues since DC type loads increase rapidly according to the expansion of IT equipment such as computers, servers, and digital devices; DC type loads will cover 50% for all electricity loads in 2020 which was mere 10% in 2000 [1,2]. DC distribution systems are also accelerated by the expansion of renewable power systems since they are easy to be interfaced with DC grids rather than AC grids. However, removing the fault current in DC grids is comparably difficult since the DC current has non zero-crossing point like in AC current [3]. Thus, developing dedicated DC circuit breakers for DC grids is necessary to get safety for human and electrical facilities[4]. Magnet arc extinguishing method is proper to small size DC circuit breakers [5,6]. However, simple magnet arc extinguishing method is not enough to break inductive fault currents. This paper proposed a novel DC circuit breaker against inductive fault current defined by IEEE C37.14-2004 Standard for Low-Voltage DC Power Circuit Breakers Used in Enclosures. The performance of the proposed DC circuit breaker was verified by an experimental circuit breaker test system built in this research.
This paper focuses on the Wireless Sensor Network (WSN) synchronization problem for event-driven measurement applications. The objective is twofold: i) to provide high accuracy in the area where an event is detected, ...
This paper focuses on the Wireless Sensor Network (WSN) synchronization problem for event-driven measurement applications. The objective is twofold: i) to provide high accuracy in the area where an event is detected, ii) to ensure a long network life time. These two objectives are conflicting. In fact, to increase the synchronization accuracy packets must be exchanged at higher rate, thus affecting the network lifetime. In several interesting applications a trade-off can be achieved based on the observation that, if the goal is to observe a localized event, only the portion of the network surrounding the detected event requires a higher accuracy. The proposed algorithm represents a formalization of this idea. Simulations are done to show the effectiveness of the proposed algorithm.
Sparse representation technique has been widely used in various areas of computer vision over the last decades. Unfortunately, in the current formulations, there are no explicit relationship between the learned dictio...
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ISBN:
(纸本)9781479906505
Sparse representation technique has been widely used in various areas of computer vision over the last decades. Unfortunately, in the current formulations, there are no explicit relationship between the learned dictionary and the original data. By tracing back and connecting sparse representation with the K-means algorithm, a novel variation scheme termed as self-explanatory convex sparse representation (SCSR) has been proposed in this paper. To be specific, the basis vectors of the dictionary are refined as convex combination of the data points. The atoms now would capture a notion of centroids similar to Kmeans, leading to enhanced interpretability. Sparse representation and K-means are thus unified under the same framework in this sense. Besides, an appealing property also emerges that the weight and code matrices both tend to be naturally sparse without additional constraints. Compared with the standard formulations, SCSR is easier to be extended into the kernel space. To solve the corresponding sparse coding subproblem and dictionary learning subproblem, block-wise coordinate descent and Lagrange multipliers are proposed accordingly. To validate the proposed algorithm, it is implemented in image classification, a successful applications of sparse representation. Experimental results on several benchmark data sets, such as UIUC-Sports, Scene 15, and Caltech-256 demonstrate the effectiveness of our proposed algorithm.
Current collision mitigation systems focus on rear end collisions. To address the full spectrum of real world accidents, these systems will have to be enhanced to cover more traffic situations. Vehicle to vehicle acci...
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Current collision mitigation systems focus on rear end collisions. To address the full spectrum of real world accidents, these systems will have to be enhanced to cover more traffic situations. Vehicle to vehicle accidents in crossing traffic situations make up around 25% of accidents in Germany. This paper discusses the requirements and differences compared to rear-end collisions. Presented here is an action concept that takes into account how the impact configuration is changed by breaking the host (impacting) vehicle. Based on this concept the requirements for the detection of crossing traffic were derived. These requirements were met by developing a video system based on a monocular wide field of view camera. It is further shown how this action concept and sensor were integrated into a demonstrator vehicle and evaluated in full scale testing.
This paper presents an extension of the trapezoidal integration rule, that in the present work is applied to devise a pseudo-recursive numerical algorithm for the numerical evaluation of fractional-order integrals. Th...
This paper presents an extension of the trapezoidal integration rule, that in the present work is applied to devise a pseudo-recursive numerical algorithm for the numerical evaluation of fractional-order integrals. The main benefit of pseudo recursive implementation arises in terms of higher accuracy when the algorithm is run in the “short memory” version. The rule is suitably generalized in order to build a numerical solver for a class of fractional differential equations. The algorithm is also specialized to derive an efficient numerical algorithm for the on-line implementation of linear fractional order controllers. The accuracy of the method is theoretically analyzed and its effectiveness is illustrated by simulation examples.
This paper presents an overview of our published work on physical principles, applications, and advances in integral imaging and digital holography. Various approaches for image capture, image reconstruction, and 3D d...
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This paper describes the use of particle swarm algorithm and k-nearest neighbor method to optimize the process of radial basis function (RBF) network and we use the Denavit-Hartenberg (DH) method to research PUMA560 r...
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This paper presents the design of a robust linear controller that can be used for trajectory following and maneuvering of fixed-wing aircraft using Nonlinear Dynamic Inversion (NDI) principles. The design addresses co...
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ISBN:
(纸本)9781467359108
This paper presents the design of a robust linear controller that can be used for trajectory following and maneuvering of fixed-wing aircraft using Nonlinear Dynamic Inversion (NDI) principles. The design addresses control coupling to exploit multiple redundant controls. It can also be easily extended to state decoupling. The design procedure exploits the nature of the equations of motion written in the wind axis resulting in a cascaded linear controller structure with inner and outer loops. A systematic methodology is evolved which uses only the relevant stability and control derivatives in the control synthesis, as opposed to the inversion of the complete nonlinear equations used in conventional NDI designs. The tuning of the control gains is based on the requirements of adequate trajectory following and robustness to control surface failures. Finally, it is shown how a series of controllers can be derived depending on the sensor complement available on the aircraft. The proposed approach is ideal for fixed-wing Unmanned Aerial Vehicles (UAVs).
This paper presents a fast macroblock mode decision algorithm based on Supporting Vector Machine (SVM) for MVC on the JMVC platform. The corresponding coded information of the reference view is used to design a three-...
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