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

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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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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Robust reliable guaranteed cost control for nonlinear singular stochastic systems with time delay

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Journal of Systems Engineering and Electronics 2008年第4期19卷 791-798页

作者： Zhang Aiqing Fang Huajing Dept. of Control Science and Engineering Huazhong Univ. of Science and Technology Wuhan 430074 P. R. China Coll. of Mathematics and Computer Science Jianghan Univ. Wuhan 430056 P. R. China

To study the design problem of robust reliable guaranteed cost controller for nonlinear singular stochastic systems, the Takagi-Sugeno （T-S） fuzzy model is used to represent a nonlinear singular stochastic system with norm-bounded parameter uncertainties and time delay. Based on the linear matrix inequality （LMI） techniques and stability theory of stochastic differential equations, a stochastic Lyapunov function method is adopted to design a state feedback fuzzy controller. The resulting closed-loop fuzzy system is robustly reliable stochastically stable, and the corresponding quadratic cost function is guaranteed to be no more than a certain upper bound for all admissible uncertainties, as well as different actuator fault cases. A sufficient condition of existence and design method of robust reliable guaranteed cost controller is presented. Finally, a numerical simulation is given to illustrate the effectiveness of the proposed method.

关键词： fuzzy control reliable control LMI singular systems stochastic stability

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Contourlet Based Interest Points Detector

Contourlet Based Interest Points Detector

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20th IEEE International Conference on Tools with Artificial Intelligence

作者： Saydam, Samer R. El rube', Ibrahim A. Shoukry, Amin A. CS Department Computing and Information Technology College AASTMT Egypt EC Eng. Dept. College of Engineering and Technology AASTMT Egypt Computer Science and Automatic Control Department Faculty of Engineering Alexandria University Egypt

ISBN: (纸本)9780769534404

This paper proposes a robust algorithm for detecting interest points based on the NonsubSampled Contourlet Transform (NSCT). The NSCT provides multiscale decomposition with directional filters at each scale. Furthermore, NSCT is very efficient in extracting the geometric information of images and therefore it has very good feature localization. The NSCT-based point detector is compared to the widely used Harris and Difference of Gaussian (DoG) interest point detectors. The experimental results reveal the robustness of the proposed algorithm to rotation, scale and viewpoint changes.

关键词： Interest point detection corner detector local features nonsubsampled contourlet transform (NSCT)

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Optimal guaranteed cost control for fuzzy descriptor systems with time-varying delay

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Journal of Systems Engineering and Electronics 2008年第3期19卷 584-591页

作者： Tian Weihua1,2 & Zhang Huaguang3 1. School of Information science and Engineering, Northeastern Univ., Shenyang 110004, P. R. China 2. dept. of automatic control, Shenyang Inst. of Engineering, Shenyang 110136, P. R. China 3. School of Information science and Engineering, Northeastern Univ., Shenyang 110004, P. R. China. (Received December 27, 2006) [a]School of Information Science and Engineering Northeastern Univ. Shenyang 110004 P. R. China [b]Dept. of Automatic Control Shenyang Inst. of Engineering Shenyang 110136 P. R. China [c]School of Information Science and Engineering Northeastern Univ. Shenyang 110004 P. R. China

Based on the delay-independent rule, the problem of optimal guaranteed cost control for a class of Takagi-Sugeno （T-S） fuzzy descriptor systems with time-varying delay is studied. A linear quadratic cost function is considered as the performance index of the closed-loop system. Sufficient conditions for the existence of guaranteed cost controllers via state feedback are given in terms of linear matrix inequalities （LMIs）, and the design of an optimal guaranteed cost controller can be reduced to a convex optimization problem. It is shown that the designed controller not only guarantees the asymptotic stability of the closed-loop fuzzy descriptor delay system, but also provides an optimized upper bound of the guaranteed cost. At last, a numerical example is given to illustrate the effectiveness of the proposed method and the perfect performance of the optimal guaranteed cost controller.

关键词： fuzzy descriptor systems optimal guaranteed cost control time-varying delay linear matrix inequalities （LMIs）.

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Object tracking of mobile robot using moving color and shape information for the aged walking

Object tracking of mobile robot using moving color and shape...

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2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008

作者： Kim, Sanghoon Lee, Sangmu Kim, Seungjong Dept. of Control and Information Hankyong National University Anseong-Si Kyungki-Do Korea Republic of Dept. of Computer Science Hanyang Women's College Seoul Korea Republic of

ISBN: (纸本)9780769534312

A mobile robot with various types of sensors via ubiquitous networks is introduced. We designed a mobile robot composed of TCP/IP network, wireless camera and several sensors in an environment, and show object avoiding and tracking methods necessary for providing diverse services desired by the people. To avoid obstacles(objects), active sensors such as infrared rays sensors and supersonic waves sensors are employed together and measures the range in real time between the obstacles and the robot. We focus on how to track a object well because it gives robots the ability of working for human. This paper suggests effective visual tracking system for moving objects with specified color and motion information. The proposed tracking system includes the object extraction and definition process which uses color transformation and AWUPC computation to decide the existence of moving object. Active contour information and shape energy function are used to exactly tract the objects with shape changes. Finally, real time mobile robot avoiding and tracking objects is implemented.. © 2008 IEEE.

关键词： Color

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Empirical Mode Decomposition In Epileptic Seizure Prediction

Empirical Mode Decomposition In Epileptic Seizure Prediction

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IEEE International Symposium on Signal Processing and Information Technology

作者： Tafreshi, Azadeh Kamali Nasrabadi, Ali M. Omidvarnia, Amir H. Biomedical Eng. Dept. Science and Research Branch Islamic Azad University Tehran Iran Biomedical Eng. Dept. Shahed University Tehran Iran Control and Intelligent Processing Centre of Excellence Electrical and Computer Eng. Dept. University of Tehran Tehran Iran

ISBN: (纸本)9781424435548

In this paper, we attempt to analyze the effectiveness of the Empirical Mode Decomposition (EMD) for discriminating preictal periods from the interictal periods. The Empirical Mode Decomposition (EMD) is a general signal processing method for analyzing nonlinear and nonstationary time series. The main idea of EMD is to decompose a time series into a finite and often small number of intrinsic mode functions (IMFs). EMD is an adaptive decomposition method since the extracted information is obtained directly from the original signal. By utilizing this method to obtain the features of interictal and preictal signals, we compare these features with traditional features such as AR model coefficients and also the combination of them through self-organizing map (SOM). Our results confirmed that our proposed features could potentially be used to distinguish interictal from preictal data with average success rate up to 89.68% over 19 patients.

关键词： Empirical mode decomposition Epileptic seizure prediction Hilbert transform

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Epileptic Seizure Detection Using Empirical Mode Decomposition

Epileptic Seizure Detection Using Empirical Mode Decompositi...

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IEEE International Symposium on Signal Processing and Information Technology

作者： Tafreshi, Azadeh Kamali Nasrabadi, Ali M. Omidvarnia, Amir H. Member of Young Researcher Club of Biomedical Eng. Dept. Science and Research Branch Islamic Azad University Tehran Iran Biomedical Eng. Dept. Shahed University Tehran Iran Control and Intelligent Processing Centre Excellence Electrical and Computer Eng. Dept. University of Tehran Tehran Iran

ISBN: (纸本)9781424435548

In this paper, we attempt to analyze the performance of the Empirical Mode Decomposition (EMD) for discriminating epileptic seizure data from the normal data. The Empirical Mode Decomposition (EMD) is a general signal processing method for analyzing nonlinear and nonstationary time series. The main idea of EMD is to decompose a time series into a finite and often small number of intrinsic mode functions (IMFs). EMD is an adaptive decomposition since the extracted information is obtained directly from the original signal. By utilizing this method to obtain the features of normal and epileptic seizure signals, we compare them with traditional features such as wavelet coefficients through two classifiers. Our results confirmed that our proposed features could potentially be used to distinguish normal from seizure data with success rate up to 95.42%.

关键词： Empirical mode decomposition Epileptic seizure detection Hilbert transform

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VoIP over IEEE 802.11 wireless networks: Experimental analysis of interference effects

VoIP over IEEE 802.11 wireless networks: Experimental analys...

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2008 IEEE International Symposium on Electromagnetic Compatibility, EMC 2008

作者： Angrisani, Leopoldo Napolitano, Aniello Sona, Alessandro Dept. of Computer Science and Control Systems Univ. of Naples Federico II via Claudio 21 80125 Naples Italy Dept. of Electrical Engineering Univ. of Naples Federico II via Claudio 21 80125 Naples Italy Dept. of Information Engineering Univ. of Padova via G. Gradenigo 6 - 35131 Padova Italy

The interference effects on Voice over Internet Protocol (VoIP) applications over Wireless Local Area Networks (WLANs) are here dealt with. In particular, attention is paid to the IEEE 802.11g standard, with Bluetooth signals, Additive White Gaussian Noise (AWGN) and competitive data traffic acting as interferer. The analysis is conducted experimentally following a cross-layer approach and through the deployment of a proper testbed within a semi-anechoic chamber. The purpose is to investigate on the effects of some common types of interference on a WLAN supporting VoIP applications, and to deduce from the experiments valuable hints for improving the setup of a WLAN in the presence of interference. Cross-layer measurements are performed at network/transport, physical and application layer. © 2008 IEEE.

关键词： Wi-Fi

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Tracking and Disturbance Rejection of Extended Constant Signals with Unknown Disturbance Structure Using MPC

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SICE Journal of control, Measurement, and System Integration 2008年第2期1卷 82-91页

作者： Edward J. Davison Ruth Milman Systems Control Group Dept. of Electrical and Computer Engineering University of Toronto Faculty of Engineering and Applied Science University of Ontario Institute of Technology

This paper considers the Model Predictive control (MPC) set point tracking/regulation problem for a discrete LTI system, which is subject to a class of unbounded disturbances/tracking signals called extended constant signals of unknown structure. Examples of disturbances which belong to this class include constant disturbances as well as unbounded signals such as w[k]=√k and log (k), k=1,2,3,…. A discussion re the choice of window size for MPC is also made; in particular, it is shown that the window size must be larger than a certain lower bound, which can be easily determined, in order to guarantee closed loop stability in MPC control. The main contribution is a formulation of the system's plant equations under which, for output regulation, no knowledge of the structure or magnitude of disturbances is needed in order to achieve set point regulation for this class of extended constant signals. The result is of interest since it also implies that no disturbance observer is necessary in order to solve the set point tracking/regulation problem when full-state feedback is available. The results are experimentally verified.

关键词： model predictive control disturbance rejection extended constant signals output feedback/regulation observers tracking

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