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作者： Guinaldo, M. Vargas, H. Sánchez, J. Sanz, E. Dormido, S. Dept. Of Computer Science and Automatic Control UNED C/ Juan del Rosal 16 28040 Madrid Spain

ISBN: (纸本)9783902661562

This paper presents a Web-based control laboratory of a non-linear and unstable system: the ball and beam plant. Different control strategies, apart from the traditional PID, as Robust, Fuzzy and PD-Reset control have been taken to give students a wider vision of control approaches. The client-side of the virtual laboratory has been developed using EJS (Easy Java Simulations), an open-source tool that allows creating Java applications easily. Meanwhile, the application that locally interacts with the system is written in LabVIEW. Different experiences are presented showing the advantages of advanced control strategies over PD control.

关键词： Websites

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Fault diagnosis in neutral point indirectly grounded system basedon information fusion

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Journal of Harbin Institute of Technology(New Series) 2003年第4期10卷 434-437页

作者：于飞鞠丽叶刘喜梅崔平远钟秋海 Dept. of Automatic Control Beijing Institute of Technology Information and Control Engineering Institute Qingdao University of Science and Technology Deep Space Exploration Research Center Harbin Institute of Technology

In neutral point indirectly grounded systems, phase-to-ground fault is putting new demands on fault diagnosis technology. Information fusion is applied to detect the phase-to-ground fault, which integrates several sources of information, including line current, line voltage, zero sequence current and voltage, and quintic harmonic wave component. This method is testified through the simulation of Matlab. Simulation results show that the precision and reliability of the detection has been greatly increased.

关键词： information fusion fault diagnosis neutral point indirectly grounded system phase-to-ground fault

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Learning algorithm and application of quantum BP neural networks based on universal quantum gates

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Journal of Systems Engineering and Electronics 2008年第1期19卷 167-174页

作者： Li Panchi Li Shiyong Dept. of Control Science and Engineering Harbin Inst. of Technology Harbin 150001 P. R. China Dept. of Computer Science and Engineering Daqing Petroleum Inst. Daqing 163318 P. R. China

A quantum BP neural networks model with learning algorithm is proposed. First, based on the universality of single qubit rotation gate and two-qubit controlled-NOT gate, a quantum neuron model is constructed, which is composed of input, phase rotation, aggregation, reversal rotation and output. In this model, the input is described by qubits, and the output is given by the probability of the state in which （1） is observed. The phase rotation and the reversal rotation are performed by the universal quantum gates. Secondly, the quantum BP neural networks model is constructed, in which the output layer and the hide layer are quantum neurons. With the application of the gradient descent algorithm, a learning algorithm of the model is proposed, and the continuity of the model is proved. It is shown that this model and algorithm are superior to the conventional BP networks in three aspects： convergence speed, convergence rate and robustness, by two application examples of pattern recognition and function approximation.

关键词： quantum computing universal quantum gate quantum neuron quantum neural networks

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Petri net approach for deadlock prevention in robot planning

Petri net approach for deadlock prevention in robot planning

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2013 IEEE 18th International Conference on Emerging Technologies and Factory Automation, ETFA 2013

作者： Kloetzer, Marius Mahulea, Cristian Colom, Jose-Manuel Dept. of Automatic Control and Applied Informatics Technical University Gh. Asachi of Iasi Romania Dept. of Computer Science and Systems Engineering Univ. of Zaragoza Spain

ISBN: (纸本)9781479908622

This paper provides a strategy for supervising the motion of some mobile robots that evolve in the same environment. Some regions of the environment are assumed to have a limited capacity in terms of the number of robots that can simultaneously occupy them, and a set of possible trajectories is available for each robot. The solution comprises the construction of a specific Petri net model for the available trajectories, and the use of resource-allocation techniques based on restricted-capacity regions and on deadlock-free execution. © 2013 IEEE.

关键词： Petri nets

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Optimal deployment of distributed passive measurement monitors

Optimal deployment of distributed passive measurement monito...

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2006 IEEE International Conference on Communications, ICC 2006

作者： Chengchen, Hu Bin, Liu Zhen, Liu Shifang, Gao Dapeng, Wu Dept. of Computer Science and Technology Tsinghua University Beijing China Dept. of Automatic Control Northwest Polytechnical University Xi'an Shaanxi China Dept. of Electrical and Computer Engineering University of Florida Gainesville FL United States

ISBN: (纸本)1424403553

Flow-level traffic measurement is important for network management. The widely used centralized per-flow measurement faces a great challenge due to the demanding requirement on both memory bandwidth and memory size within a single traffic monitor. This paper addresses the issue of deploying a Distributed Passive Measurement System (DPMS) in a large scale network;specifically, we study how to optimally place traffic monitors and sample stochastic traffic flows, so that the probability of a packet being sampled (a.k.a. measurement coverage) is maximized. We formulate this problem as a Stochastic Chance Constrained Optimization (SCCO) problem;and we propose a Hybrid Intelligent (HI) algorithm to solve this problem. The HI algorithm consists of two major components, namely, uncertain function approximation and genetic algorithm. Equipped with the HI algorithm, we are able to address the optimal tradeoff between measurement coverage and deployment cost for networks with random traffic, which has not been studied before. Our simulations and experiments demonstrate the effectiveness of our algorithm, i.e., a small deployment cost or a small number of monitors are sufficient to maintain a high level of measurement coverage. © 2006 IEEE.

关键词： Telecommunication traffic

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Grover quantum searching algorithm based on weighted targets

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Journal of Systems Engineering and Electronics 2008年第2期19卷 363-369页

The current Grover quantum searching algorithm cannot identify the difference in importance of the search targets when it is applied to an unsorted quantum database, and the probability for each search target is equal. To solve this problem, a Grover searching algorithm based on weighted targets is proposed. First, each target is endowed a weight coefficient according to its importance. Applying these different weight coefficients, the targets are represented as quantum superposition states. Second, the novel Grover searching algorithm based on the quantum superposition of the weighted targets is constructed. Using this algorithm, the probability of getting each target can be approximated to the corresponding weight coefficient, which shows the flexibility of this algorithm. Finally, the validity of the algorithm is proved by a simple searching example.

关键词： Grover algorithm targets weighting quantum searching quantum computing.

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Stochastic stabilization analysis of networked control systems

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Journal of Systems Engineering and Electronics 2007年第1期18卷 137-141页

作者： Ma Changlin Fang Huajing Dept. of Computer Science Central China Normal Univ. Wuhan 430079 P. R. China Dept. of Control Science and Engineering Huazhong Univ. of Science and Technology Wuhan 430074 P. R. China

Considering the stochastic delay problems existing in networked control systems, a new control mode is proposed for networked control systems whose delay is longer than a sampling period. Under the control mode, the mathematical model of such a system is established. A stochastic stabilization condition for the system is given. The maximum delay can be derived from the stabilization condition.

关键词： Networked control system Asymptotically stable Maximum delay

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Optimality analysis of if-conversion transformation

Optimality analysis of if-conversion transformation

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24th High Performance Computing Symposium, HPC 2016, Part of the 2016 Spring Simulation Multi-Conference, SpringSim 2016

作者： Elkhouly, Reem El-Mahdy, Ahmed Elmasry, Amr Alexandria Egypt Dept. of Computer Engineering and Automatic Control Tanta University Tanta Egypt Dept. of Computer Engineering and Systems Alexandria University Alexandria Egypt

ISBN: (纸本)9781510824256

control-flow dependence has always been posited as a substantial dilemma against program acceleration. With the availability of instruction-level parallel architectures, ifconversion optimization has become pivotal for extracting parallelism from serial programs. While many if-conversion optimization heuristics have been proposed in the literature, few of them investigated the proximity to optimality paying more concern to the input program subjectively. In this paper, we study the effectiveness of the LLVM if-conversion transformation using a broad range optimality analysis technique. The whole optimization space of branch instructions within an arbitrarily selected hotspot function of a program is analyzed, tackling the best-performing combination sequence of converted or non-converted branches. In order to precisely observe the influence of selectively converted branches we magnify individual function call and study the behavior with different call circumstances and input data detecting the impact of data size and distribution. We implemented our technique on LLVM 3.6.1 compilation infrastructure and experimented on several representative kernels of the SPEC-CPU2006 vl.l benchmarks suite running on a multicore system of Intel(R) Xeon(R) 3.50GHz processors. Our findings show a performance gain up to 22.7% at the best optimization over the standard optimized code, indicating the need for more aggressive compilation optimization that is able to capture the individual characteristics of every branch. © 2016 Society for Modeling & Simulation International (SCS).

关键词： Optimization

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Sensor fusion using dynamic Bayesian networks in livestock production buildings

Sensor fusion using dynamic Bayesian networks in livestock p...

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CIMCA 2006: International Conference on Computational Intelligence for Modelling, control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce

作者： Hansen, Jens A. Nielsen, Thomas D. Schiøler, Henrik Dept. of Computer Science Aalborg University Dept. of Control Engineering Aalborg University

ISBN: (纸本)0769527310

The climate in modern livestock production buildings is controlled using a simple state controller. State controllers are typically not equipped to handle abnormal situations, e.g. sensors providing false or no readings, and they may therefore produce malformed climate control signals which may have severe consequences for the livestock. To make the system more robust, a sensor fusion system can be used to combine the different sensor readings and thereby produce a more reliable estimate of the climate state. A dynamic Bayesian network (DBN) model is constructed for this purpose. The model is tested in an online setup in a climate laboratory, where realtime behavior is archived by using the Boyen & Koller approximate inference algorithm. Preliminary experimental results show that the proposed model provides a promising framework for sensor fusion in livestock buildings. © 2006 IEEE.

关键词： Sensor data fusion

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MDCT-based perceptual hashing for compressed audio content identification

MDCT-based perceptual hashing for compressed audio content i...

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2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007

作者： Yuhua, Jiao Bian, Yang Mingyu, Li Xiamu, Niu School of Computer Science and Technology Harbin Institute of Technology Harbin China Dept. of Automatic Test and Control Harbin Institute of Technology Harbin China

ISBN: (纸本)1424412749

In this paper, a perceptual audio hashing method in compressed domain is proposed for content identification, in which MDCT coefficients as the intermediate decoding result are selected for perceptual feature extraction and hash generation. The perceptual feature extraction is based on psychoacoustic model and exhibits good discrimination ability for different audio contents but robustness against common audio signal processing operations. Via feature extraction in the compressed domain, the MDCT-based compressed audios, such as MP3, AAC, etc., could be efficiently identified without complete decoding which facilitates those practical applications with strict requirements of memory and computational complexity, such as online audio retrieval, indexing of massive compressed audio data, audio identification by mobile phone, etc. The algorithm is highly robust against MDCT compression which is widely used in audio coding. Experiments demonstrate the effectiveness of the proposed scheme. © 2007 IEEE.

关键词： Feature extraction

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