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作者： Nešić, Dragan Teel, Andrew R. Valmorbida, Giorgio Zaccarian, Luca Electrical and Electronic Engineering Department University of Melbourne Parkville VIC 3010 Australia Department of Electrical and Computer Engineering University of California Santa Barbara CA 93106 United States Control Group Department of Engineering Science University of Oxford Parks Road OX1 3PJ United Kingdom CNRS LAAS 7 av. du Colonel Roche F-31400 Toulouse France Université de Toulouse LAAS F-31400 Toulouse France Dipartimento di Ingegneria Industriale University of Trento Italy

We characterize the finite-gain Lp stability properties for hybrid dynamical systems. By defining a suitable concept of the hybrid L p norm, we introduce hybrid storage functions and provide sufficient Lyapunov conditions for the Lp stability of hybrid systems, which cover the well-known continuoustime and discrete-time Lp stability notions as special cases. We then focus on homogeneous hybrid systems and prove a result stating the equivalence among local asymptotic stability of the origin, global exponential stability, existence of a homogeneous Lyapunov function with suitable properties for the hybrid system with no inputs, and input-to-state stability, and we show how these properties all imply Lp stability. Finally, we characterize systems with direct and reverse average dwell-time properties, and establish parallel results for this class of systems. We also make several connections to the existing results on dissipativity properties of hybrid dynamical systems. © 2013 Elsevier Ltd. All rights reserved.

关键词： Hybrid systems

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An improved particle swarm optimization algorithm

An improved particle swarm optimization algorithm

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International Conference on Natural Computation (ICNC)

作者： Huafen Yang Dejian Kong Zuyuan Yang You Yang Dechun Dong Lihui Zhang Department of Computer Science and Engineering Qujing Normal College Qujing China School of Automatic Control and Mechanical Engineering Kunming University Kunming China School of Information Science and Engineering Chongqing Normal University Chongqing China Kunming normal college Kunming China

Particles can remember some information in an optimization process. They learn by themselves and from other particles, so the next generation can inherit much information from their parents and finally find optimal solutions. But particles are also faced with two problems of stagnating in a local but not global optimum. Genetic algorithms have strong global search ability. Genetic algorithms are combined with particles swarm optimization and an improved particles swarm optimization algorithm is proposed in this paper. The better individuals obtained by improved genetic algorithms can be improved further by particles swarm optimization. The experiments show that the proposed algorithm is better than traditional genetic algorithm and particles swarm.

关键词： Optimization Genetics Sociology Statistics Genetic algorithms Cities and towns Convergence

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Optimum weight selection based LQR formulation for the design of fractional order PIλDμ controllers to handle a class of fractional order systems

Optimum weight selection based LQR formulation for the desig...

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International Conference on computer Communication and Informatics (ICCCI)

作者： Saptarshi Das Indranil Pan Kaushik Halder Shantanu Das Amitava Gupta Department of Power Engineering Jadavpur University Kolkata India Communications Signal Processing and Control Group School of Electronics and Computer Science University of Southampton Southampton UK Department of Electronics and Instrumentation Engineering National Institute of Science and Technology Berhampur Orissa India Reactor Control Division Bhabha Atomic Research Centre Mumbai India

ISBN: (纸本)9781467329064

A weighted summation of Integral of Time Multiplied Absolute Error (ITAE) and Integral of Squared controller Output (ISCO) minimization based time domain optimal tuning of fractional-order (FO) PID or PI λ D μ controller is proposed in this paper with a Linear Quadratic Regulator (LQR) based technique that minimizes the change in trajectories of the state variables and the control signal. A class of fractional order systems having single non-integer order element which show highly sluggish and oscillatory open loop responses have been tuned with an LQR based FOPID controller. The proposed controller design methodology is compared with the existing time domain optimal tuning techniques with respect to change in the trajectory of state variables, tracking performance for change in set-point, magnitude of control signal and also the capability of load disturbance suppression. A real coded genetic algorithm (GA) has been used for the optimal choice of weighting matrices while designing the quadratic regulator by minimizing the time domain integral performance index. Credible simulation studies have been presented to justify the proposition.

关键词： Tuning Time domain analysis Regulators Minimization Performance analysis Process control Genetic algorithms

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A driver face monitoring system for fatigue and distraction detection

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International Journal of Vehicular Technology 2013年第1期2013卷

作者： Sigari, Mohamad-Hoseyn Fathy, Mahmood Soryani, Mohsen Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran 14399 Iran Computer Engineering Department Iran University of Science and Technology Tehran 16846 Iran

Driver face monitoring system is a real-time system that can detect driver fatigue and distraction using machine vision approaches. In this paper, a new approach is introduced for driver hypovigilance (fatigue and distraction) detection based on the symptoms related to face and eye regions. In this method, face template matching and horizontal projection of top-half segment of face image are used to extract hypovigilance symptoms from face and eye, respectively. Head rotation is a symptom to detect distraction that is extracted from face region. The extracted symptoms from eye region are (1) percentage of eye closure, (2) eyelid distance changes with respect to the normal eyelid distance, and (3) eye closure rate. The first and second symptoms related to eye region are used for fatigue detection;the last one is used for distraction detection. In the proposed system, a fuzzy expert system combines the symptoms to estimate level of driver hypo-vigilance. There are three main contributions in the introduced method: (1) simple and efficient head rotation detection based on face template matching, (2) adaptive symptom extraction from eye region without explicit eye detection, and (3) normalizing and personalizing the extracted symptoms using a short training phase. These three contributions lead to develop an adaptive driver eye/face monitoring. Experiments show that the proposed system is relatively efficient for estimating the driver fatigue and distraction. © 2013 Mohamad-Hoseyn Sigari et al.

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Methodology for identifying quadrotor parameters, attitude estimation and control

Methodology for identifying quadrotor parameters, attitude e...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： M. Elsamanty A. Khalifa M. Fanni A. Ramadan A. Abo-Ismail Mechatronics and Robotics Engineering Department School of Innovative Design Engineering Egypt-Japan University of Science and Technology Alexandria Egypt Production. Engineering & Mechanical Design Department Faculty of Engineering Mansoura University Mansoura Egypt Computer & Automatic Control Department Faculty of Engineering Tanta University Tanta Egypt

ISBN: (纸本)9781467353199

This paper describes a methodology to identify all the parameters of a quadrotor system including the structure parameters and rotor assembly parameters. A CAD model is developed using SOLIDWORKS to calculate the mass moment of inertia and all the missing geometrical parameters. A three simple test rigs are built and used to identify the relationship between the motor input Pulse Width Modulation (PWM) signal and the angular velocity, the thrust force, and drag moment of the rotors. A simple algorithm is implemented to an inertial measurement unit (IMU) for estimating the attitude and altitude of the quadrotor. Experimental set up is built to verify and test the accuracy of these proposed techniques. A controller is designed based on the feedback linearization method such that the quadrotor attitude can be stabilized. Finally, the experimental results show the effectiveness of the proposed techniques and the controller design.

关键词： Rotors Pulse width modulation Propellers Force Drag Angular velocity Assembly

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Self-adaptive learning based immune algorithm

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Journal of Central South University 2012年第4期19卷 1021-1031页

作者：许斌庄毅薛羽王洲 Department of Computer Engineering&Science Nanjing University of Aeronautics&Astronautics Science and Technology on Electron-optic Control Laboratory

A self-adaptive learning based immune algorithm （SALIA） is proposed to tackle diverse optimization problems, such as complex multi-modal and ill-conditioned prc,blems with the high robustness. The SALIA algorithm adopted a mutation strategy pool which consists of four effective mutation strategies to generate new antibodies. A self-adaptive learning framework is implemented to select the mutation strategies by learning from their previous performances in generating promising solutions. Twenty-six state-of-the-art optimization problems with different characteristics, such as uni-modality, multi-modality, rotation, ill-condition, mis-scale and noise, are used to verify the validity of SALIA. Experimental results show that the novel algorithm SALIA achieves a higher universality and robustness than clonal selection algorithms （CLONALG）, and the mean error index of each test function in SALIA decreases by a factor of at least 1.0×10^7 in average.

关键词： immune algorithm multi-modal optimization evolutionary computation immtme secondary response self-adaptivelearning

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Face Recognition: A Fourier Transform and SVD Based Approach

Face Recognition: A Fourier Transform and SVD Based Approach

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International Conference on Computational Intelligence and Communication Networks (CICN)

作者： Animesh Kumar Jha Rupak Gupta Dharmender Saini Department of Instrumentation and Control Bharati Vidyapeeth's College of Engineering New Delhi India Computer Science Corporation Noida India CSE Bharati Vidyapeeth's College of Engineering New Delhi India

Authentication based on a person's face is one of the most stringent measures to secure a place or system. In this report such a method has been proposed that successfully identifies a person. The proposed algorithm also identifies a person with emotions/varied face expressions. This algorithm first enhances the image and then computes its singular value decomposition(SVD) to yield a matrix containing singular values followed by its singular value decomposition which further yields a single numerical value, instead of a matrix, that has been employed to compare images. This report presents a method employing frequency domain transformation followed by Singular Value Decomposition of the test image which is used to compare it with the original image in the database. Experiments are performed with face images of Psychological Image Collection at Stirling(PICS) and the results are also shown.

关键词： Face recognition Face Databases Matrix decomposition Singular value decomposition Biometrics (access control) Signal processing algorithms

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Gain-scheduling Distributed MPC for Polytopic Uncertain Systems subject to Actuator Saturation

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IFAC Proceedings Volumes 2013年第13期46卷 444-449页

作者： Langwen Zhang Jingcheng Wang Kang Li Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 School of Electronics Electrical Engineering and Computer Science Queen's University Belfast UK

In this paper, we present a gain-scheduling distributed model predictive control (MPC) algorithm for polytopic uncertain systems subject to actuator saturation. A large-scale system is decomposed into subsystems and sub-controllers are designed independently. An invariant set condition is provided and a min-max distributed MPC strategy is proposed based on the invariant set. The distributed MPC controller is determined by solving a linear matrix inequality (LMI) optimization problem. An iterative algorithm is provided to coordinate the sub-controllers. A numerical example is carried out to demonstrate the effectiveness of the proposed algorithm.

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Decentralized control of Aggregated Loads for Demand Response

Decentralized Control of Aggregated Loads for Demand Respons...

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American control Conference

作者： Di Guo Wei Zhang Gangfeng Yan Zhiyun Lin Minyue Fu Asus Intelligent Systems Lab Department of Systems Science and Engineering Zhejiang University Hangzhou P. R. China Department of Electrical and Computer Engineering The Ohio State University Columbus OH USA Department of Control Science and Engineering Zhejiang University Hangzhou 310027 P. R. China

ISBN: (纸本)9781479901777

This paper focuses on the aggregated control of a large number of residential responsive loads for various demand response applications. We propose a general hybrid system model which can capture the dynamics of both Thermostatically controlled Loads (TCLs) such as air conditioners and water heaters, as well as deferrable loads such as washers, dryers, and Plug-in Hybrid Electric Vehicles (PHEVs). Based on the hybrid system model, the aggregated control problem is formulated as a large scale optimal control problem that determines the energy use plans for a heterogeneous population of hybrid systems. A decentralized cooperative control algorithm is proposed to solve the aggregated control problem. Convergence of the proposed algorithm is proved using potential game theory. The simulation results indicate that the aggregated power response can accurately track a reference trajectory and effectively reduce the peak power consumption.

关键词： Demand-Responsive decentralised control hybrid systems power response Systems modelling LOAD WATER HEATER Air conditioners Power consumption energy plan load control

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PPI: Towards precise page identification for encrypted Web-browsing traffic 13

PPI: Towards precise page identification for encrypted Web-b...

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ACM/IEEE Symposium Architecture for Networking and Communications Systems, ANCS

作者： Zhenlong Yuan Yibo Xue Wei Xia Department of Automation Tsinghua University China Tsinghua National Lab for Information Science and Technology China School of Control and Computer Engineering North China Electric Power University China

ISBN: (纸本)9781479916405

Precise Web page identification has always been a research hotspot in the areas of network management and security. However, previous works generally focused on statistical or probabilistic approaches and could not exactly calculate the length of encrypted data under different conditions, which makes them hardly cover all the cases. In this poster, we propose an exact fingerprint derivation method for encrypted Web-browsing traffic and thereby implementing a prototype system for precise page identification (PPI). Our experiments show that PPI not only can be employed for early page identification at individual-flow level but also can achieve very high accuracy at aggregate-traffic level.

关键词： Ciphers Web pages HTML Encyclopedias Electronic publishing

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