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Congress on Evolutionary Computation

作者： Hu Zhang Shenmin Song Aimin Zhou Xiao-Zhi Gao Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China Department of Computer Science and Technology East China Normal University Shanghai China Department of Electrical Engineering and Automation School of Electrical Engineering Aalto Finland

In this paper, we propose a clustering based multiobjective evolutionary algorithm (CLUMOEA) to deal with the multiobjective optimization problems with irregular Pareto front shapes. CLUMOEA uses a k-means clustering method to discover the population structure by partitioning the solutions into several clusters, and it only allows the solutions in the same cluster to do the reproduction. To reduce the computational cost and balance the exploration and exploitation, the clustering process and evolutionary process are integrated together and they are performed simultaneously. In addition to the clustering, CLUMOEA also uses a distance tournament selection to choose the more similar mating solutions to accelerate the convergence. Besides, a cosine nondominated selection method considering the location and distance information of the solutions are further presented to construct the final population with good diversity. The experimental results show that, compared with some state-of-the-art algorithms, CLUMOEA has significant advantages on dealing with the given test problems with irregular Pareto front shapes.

关键词： Sociology Statistics Shape Convergence Vectors Evolutionary computation Optimization

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Finite abstractions of networked control systems 53

Finite abstractions of networked control systems

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2014 53rd IEEE Annual Conference on Decision and control, CDC 2014

作者： Zamani, Majid Mazo, Manuel Abate, Alessandro Department of Electrical Engineering and Information Technology Technische Universität München MunichD-80290 Germany Delft Center for Systems and Control Delft University of Technology Delft CD2628 Netherlands Department of Computer Science University of Oxford OxfordOX1 3QD United Kingdom

ISBN: (纸本)9781479977468

In networked control systems (NCS), the communication between sensors, controllers, and actuators is supported by a shared communication channel that is subject to variable communication delays, limited bandwidth, packet losses, quantization errors, and other practical non-idealities. This work investigates the problem of constructively deriving symbolic models of NCS by simultaneously considering the mentioned network non-idealities. By employing the obtained symbolic models, one can completely automate the design of controllers enforcing rich logical specifications, e.g. formulae in linear temporal logic, over NCS. © 2014 IEEE.

关键词： Networked control systems

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A MATHEMATICAL APPROACH TO DESYNCHRONIZATION OF COUPLED OSCILLATORS： APPLICATION TO A NEURONAL ENSEMBLE

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International Journal of Biomathematics 2013年第2期6卷 173-189页

作者： GHAZAL MONTASERI ARAS ADHAMI-MIRHOSSEINI MOHAMMAD JAVAD YAZDANPANAH Advanced Control Systems Laboratory School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Advanced Control Systems LaboratoryControl and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

Synchronization of neurons plays an important role in vision, movement and memory. However, many neurological disorders such as epilepsies, Parkinson disease and essen- tial tremor are related to excessive synchronization of neurons. In the line of therapy, stimulations to these pathologically synchronized neurons should be capable of breaking synchrony. As the first step of designing an effective stimulation, we consider desynchro- nization problem of coupled limit-cycle oscillators ensemble. First, the desynchronization problem is redefined in a nonlinear output regulation framework. Then, we design an output regulator （stimulation） which forces limit-cycle oscillators to track exogenous sinusoidal references with different phases. The proposed stimulation is robust against variations of oscillators＇ frequencies. Mathematical analysis and simulation results reveal the efficiency of the proposed technique.

关键词： Limit-cycle oscillators nonlinear output regulation synchrony suppression robust stimulation.

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A formal model for attack mutation using dynamic description logics 8

A formal model for attack mutation using dynamic description...

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8th IFIP International Conference on Intelligent Information Processing, IIP 2014

作者： Wang, Zhuxiao Guo, Jing Shi, Jin He, Hui Zhang, Ying Peng, Hui Tian, Guanhua School of Control and Computer Engineering State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing100029 China Education Technology Center Beijing International Studies University Beijing100024 China Institute of Automation Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9783662449790

All currently available Network-based Intrusion Detection Systems (NIDS) rely upon passive protocol analysis which is fundamentally flawed as an attack can evade detection by exploiting ambiguities in the traffic stream as seen by the NIDS. We observe that different attack variations can be derived from the original attack using simple transformations. This paper proposes a semantic model for attack mutation based on dynamic description logics (DDL(X)), extensions of description logics (DLs) with a dynamic dimension, and explores the possibility of using DDL(X) as a basis for evasion composition. The attack mutation model describes all the possible transformations and how they can be applied to the original attack to generate a large number of attack variations. Furthermore, this paper presents a heuristics planning algorithm for the automation of evasion composition at the functional level based on DDL(X). Our approach employs classical DL-TBoxes to capture the constraints of the domain, DL-ABoxes to present the attack, and DL-formulas to encode the objective sequence of packets respectively. In such a way, the evasion composition problem is solved by a decidable tableau procedure. The preliminary results certify the potential of the approach. © IFIP International Federation for Information Processing 2014.

关键词： Semantics

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On the shortest path planning for the carangiform robotic fish

On the shortest path planning for the carangiform robotic fi...

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Chinese control Conference (CCC)

作者： Chang Liu Songlin Chen Jianxun Wang Xiaobo Tan Control and Simulation Center Harbin Institute of Technology Harbin Heilongjiang CN Department of Electrical and Computer Engineering Michigan State University East Lansing MI USA

Considering the under-actuated characteristic of the carangiform robotic fish whose forward movement and turning are carried out by its single caudal fin, this paper investigates its shortest path planning problem subjected to the terminal constrains. First, a simplified kinematics model is proposed in view of its locomotion characteristic. With this model, the shortest path planning is transformed into the shortest time optimal control problem and the maximum principle is employed to obtain the necessary condition. Furthermore, based on the analysis on the relationship between the length of all feasible paths and the terminal condition, the sufficient and necessary conditions are derived for the shortest path under any terminal constrains. Finally, a program developed with Matlab verifies the effectiveness of the proposed results.

关键词： Marine animals Robot kinematics Path planning Turning Field-flow fractionation Electronic mail

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Real-time Pricing Leading to Optimal Operation under Distributed Decision Makings

Real-time Pricing Leading to Optimal Operation under Distrib...

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American control Conference

作者： Kenji Hirata Joao P. Hespanha Kenko Uchida Department of Mechanical Engineering Nagaoka University of Technology Nagaoka 940 2188 Japan Center for Control Dynamical Systems and Computation and the Department of Electrical and Computer Engineering University of California Santa Barbara CA 93106 USA Department of Electrical Engineering and Bioscience Waseda University Tokyo 169 8555 Japan

ISBN: (纸本)9781479932757

This paper investigates the optimal regulation problem with the steady-state constraints under distributed decision makings, where each agent is allowed to determine its own optimal set-point according to an individual profit. On the other hand, the utility, which corresponds to an individual public commission, tries to realize a socially optimal solution that fulfills steady-state constraints. In order to align the individual decision making of each agent with the socially optimal solution, the utility is allowed to provide additional price, which corresponds to tax or subsidy for the agent. This paper proposes a real-time pricing strategy of the utility. The proposed pricing strategy is heuristic, but we show that the resulting closed-loop system is stable, if the step size parameter in the real-time pricing strategy is sufficiently small, and realizes tracking to the socially optimal solution.

关键词： Pricing Optimization Closed loop systems Real-time systems Steady-state Stability analysis Distributed decision making

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Concise security bounds for practical decoy-state quantum key distribution

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Physical Review A 2014年第2期89卷 022307-022307页

作者： Charles Ci Wen Lim Marcos Curty Nino Walenta Feihu Xu Hugo Zbinden Group of Applied Physics University of Geneva Switzerland EI Telecomunicación Department of Signal Theory and Communications University of Vigo Spain Center for Quantum Information and Quantum Control Department of Physics and Department of Electrical & Computer Engineering University of Toronto Canada

Due to its ability to tolerate high channel loss, decoy-state quantum key distribution (QKD) has been one of the main focuses within the QKD community. Notably, several experimental groups have demonstrated that it is secure and feasible under real-world conditions. Crucially, however, the security and feasibility claims made by most of these experiments were obtained under the assumption that the eavesdropper is restricted to particular types of attacks or that the finite-key effects are neglected. Unfortunately, such assumptions are not possible to guarantee in practice. In this work, we provide concise and tight finite-key security bounds for practical decoy-state QKD that are valid against general attacks.

关键词： Quantum cryptography

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Energy Based Set Point Modulation for Obstacle Avoidance In Haptic Teleoperation of Aerial Robots

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IFAC Proceedings Volumes 2014年第3期47卷 11030-11035页

作者： Xiaolei Hou Changbin Yu Feng Liang Zhiyun Lin Shandong Computer Science Center Jinan 250014 China Australian National University Canberra ACT 0200 Australia College of Electrical Engineering and State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China

This paper presents a novel obstacle avoidance approach that is capable of dealing with both static and dynamic obstacles in the environment with guaranteed collision-free navigation for haptic teleoperation of VTOL aerial robots. The proposed approach modulates the set point for the vehicle's controller based on the user input energy, estimated potential energy and vehicle's kinetic energy. By shuffling the potential and kinetic energy, vehicle's velocity is regulated according to the permissible kinetic energy and thus obstacle avoidance is achieved. With careful design of the potential field, this approach offers a guaranteed collision-free navigation with the presence of both stationary and moving obstacles. Incorporating the novel approach with the Dynamic Kinesthetic Boundary , the human operator can better perceive the environment where the robot is deployed through the rich spatial haptic cues rather than an onset gradual single force vector. Analysis is provided and proves that in the case of perfect velocity tracking of the slave system, the proposed algorithm can guarantee a collision-free navigation through the environment. Simulations and experiments were conducted, and the results provide verification of the effectiveness of the proposed approach in obstacle and collision avoidance for haptic teleoperation of aerial robots.

关键词： Obstacle avoidance Teleoperation Robotics

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Design and experimental implementation of a robust DLQR for three-phase grid-connected converters 11

Design and experimental implementation of a robust DLQR for ...

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11th IEEE/IAS International Conference on Industry Applications, IEEE INDUSCON 2014

作者： Maccari, Luiz Antonio Do Amarai Santini, Claudio Luiz Oliveira, Ricardo C.L.F. Montagner, Vinicius Foletto Power Electronics and Control Research Group-GEPOC Federal University of Santa Maria-UFSM Santa-Maria Rio Grande do Sul Brazil Center of Technology-NT Federal University of Rondônia-UNIR Porto-Velho Rondonia Brazil School of Electrical and Computer Engineering-FEEC University of Campinas-UNICAMP Campinas Sao Paulo Brazil

ISBN: (纸本)9781479955510

This paper deals with the design of robust discrete linear quadratic regulators applied to three-phase inverters connected to the grid by means of LCL filters. The system is modeled in the state space in abc coordinates and changed to aß coordinates, allowing a simple control design and implementation. Resonant controllers are used to ensure the tracking of sinusoidal references for grid current. The control gains are computed by means of a convex optimization problem and ensure that the closed-loop system is robustly stable when operating under conditions of uncertain grid inductance. The controller is experimentally validated with a 5.4 kW prototype, showing good results for three-phase grid current control. © 2014 IEEE.

关键词： Closed loop systems

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EEG-based Driving Fatigue Prediction System Using Functional-link-based Fuzzy Neural Network

EEG-based Driving Fatigue Prediction System Using Functional...

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International Joint Conference on Neural Networks

作者： Yu-Ting Liu Yang-Yin Lin Shang-Lin Wu Chun-Hsiang Chuang Mukesh Prasad Chin-Teng Lin Institute of Electrical Control Engineering Brain Research Center National Chiao-Tung University Hsinchu Taiwan Department of Computer Science National Chiao-Tung University Hsinchu Taiwan

This study presents a fuzzy prediction system for the forecasting and estimation of driving fatigue, which utilizes a functional-link-based fuzzy neural network (FLFNN) to predict the drowsiness (DS) level in car driving task. The cognitive state in car driving task is one of key issue in cognitive neuroscience because fatigue driving usually causes enormous losses nowadays. The damage can be extremely decreased by the assistant of various artificial systems. Many Electroencephalography (EEG)-based interfaces have been widely developed recently due to its convenient measurement and real-time response. However, the improvement of recognition accuracy is still confined to some specific problems (e.g., individual difference). In order to solve this issue, the proposed methodology in this paper utilizes a nonlinear fuzzy neural network structure to increase the adaptability in the real-world environment. Therefore, this study is further to analysis the brain activities in car driving, which is constructed in a simulated three-dimensional virtual-reality (VR) environment. Finally, through the development of brain cognitive model in car driving task, this system can predict the cognitive state effectively before drivers' action and then provide correct feedback to users. This study also compared the result with the-state-of-art systems, including Linear Regression (LR), Multi-Layer Perceptron Neural Network (MLPNN) and Support Vector Regression (SVR). Results of this study demonstrate the effectiveness of the proposed FLFNN model.

关键词： Electroencephalography Brain modeling Fuzzy neural networks Input variables Biological neural networks Vehicles Independent component analysis

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