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11th IFAC International Workshop on Adaptation and Learning in control and Signal Processing, ALCOSP 2013

作者： Owens, David H. Freeman, Chris T. Chu, Bing Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom Electronics and Computer Science University of Southampton Highfield Southampton SO17 1BJ United Kingdom Advanced Robotics Instituto Italiano di Tecnologia via Morego 30 16163 Genova Italy

ISBN: (纸本)9783902823373

The paper describes a substantial extension of Norm Optimal Iterative Learning control (NOILC) that permits tracking of a class of finite dimensional reference signals whilst simultaneously minimizing a quadratic cost function. Motivated by practical problems in automation and control, this enables point-to-point motion tasks to be performed whilst reducing effects such as payload spillage, vibration tendencies and actuator wear. Solutions combine feedforward and feedback actions, and are experimentally tested using a robotic arm. © IFAC.

关键词： Optimization

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Unsupervised 3D object classification from range image data by algorithmic information theory

Unsupervised 3D object classification from range image data ...

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RSI/ISM International Conference on Robotics and Mechatronics (ICROM)

作者： Alireza Norouzzadeh Ravari Hamid D. Taghirad Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical and Computer Engineering K. N. Toosi University of Technology Tehran Iran

The problem of unsupervised classification of 3D objects from depth information is investigated in this paper. The range images are represented efficiently as sensor observations. Considering the high-dimensionality of 3D object classification, little attention has been paid to the curse of dimensionality in the existing state-of-the-art algorithms. In order to remedy this problem, a low-dimensional representation is defined here. The sparse model of every range image is constructed from a parametric dictionary. Employing the algorithmic information theory, a universal normalized metric is used for comparison of Kolmogorov complexity based representations of sparse models. Finally, most similar objects are grouped together. Experimental results show efficiency and accuracy of the proposed method in comparison to a recently proposed method.

关键词： Dictionaries Accuracy

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Norm optimal iterative learning control for planar tracking tasks

Norm optimal iterative learning control for planar tracking ...

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11th IFAC International Workshop on Adaptation and Learning in control and Signal Processing, ALCOSP 2013

作者： Owens, David H. Freeman, Chris T. Chu, Bing Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom Electronics and Computer Science University of Southampton Highfield Southampton SO17 1BJ United Kingdom Department of Advanced Robotics Instituto Italiano di Tecnologia via Morego 30 16163 Genova Italy

ISBN: (纸本)9783902823373

The Iterative Learning control (ILC) problem in which tracking is only required at a subset of isolated time points along the trial duration has recently gained significant attention since it addresses the practical needs of many *** paper extends the framework by embedding simultaneous iterative convergence of subsets of outputs to reference trajectories on subintervals. This enables it to tackle tasks which mix 'point to point' movements with linear tracking requirements, which substantially broadens the application domain (e.g. to include automation tasks which include welding or cutting movements, or human motion control where the movement is restricted by the task to straight line and/or planar segments). A solution to the problem is presented in the framework of Norm Optimal ILC (NOILC), providing well-defined convergence properties, design guidelines and supporting experimental results. © IFAC.

关键词： Two term control systems

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Using general sound descriptors for early autism detection

Using general sound descriptors for early autism detection

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Asian control Conference

作者： Seyyed Hamid R. Ebrahimi Motlagh Hadi Moradi Hamidreza Pouretemad Advanced Robotics and Intelligent Systems Laboratory Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran ARIS and CIPCE School of ECE College of Engineering University of Tehran Iran Shahid Beheshti University Tehran Tehran IR

ISBN: (纸本)9781467357661

Early detection of autism is crucial for successfully dealing with it and reduce/eliminate its effects. In other words, early treatment can make a big difference in the lives of many children with this disorder. Consequently, in this study the pattern recognition algorithms are used to determine the unique features of the voice of autistic children to distinguish between the autistic children and normal children between ages 2 and 3. These descriptors extract various audio features such as temporal features, energy features, harmonic features, perceptual and spectral features. Two feature selection methods are used and the results are compared. One method is based on comparing the effect of using all of a group features together and another method compares the effect of using features one by one. The selected features are used to classify selected children into autistic and non-autistic ones. The results show 96.17 percent accuracy. After feature selection, we classified data using S.V.M classifier for recognizing two types of input data.

关键词： Autism Feature extraction Mel frequency cepstral coefficient Educational institutions Harmonic analysis Accuracy Motion pictures

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Position/force switching control based on velocity damping

Position/force switching control based on velocity damping

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International Conference on Information and Automation (ICIA)

作者： Zhili Long Jiwen Fang Jiping Zhao Zhu Chao Shenzhen Key Lab for Advanced Motion Control Technology & Modern Automation Equipment Shenzhen State Key Lab for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an Shenzhen Graduate School Harbin Institute of Technology Shenzhen Shenzhen Graduate School Harbin Institute of Technology 518055 China

ISBN: (纸本)9781479913329

Stable and fast switching between displacement and pressure will directly affect precision and velocity of automated equipment. Switching control between displacement and pressure, which is based on the velocity damping, is proposed for motion switching of automated equipment. At first, the control models were established by analyzing displacement control and pressure control. To solve the shortage of direct switching between displacement and pressure, switching control based on the velocity damping is presented. The effectiveness of this method is verified by using piezoelectric sensor in experiment. Compared to direct switching control, the proposed switching control becomes more accurate and faster. The measurement data shows that the maximal impact force of control system is 0.4N and the amplitude of forces of fluctuations are within the range of ±0.03N.

关键词： Switches Damping Force Welding Pressure control Process control

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A positive tensions PID controller for a planar cable robot: An experimental study

A positive tensions PID controller for a planar cable robot:...

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RSI/ISM International Conference on Robotics and Mechatronics (ICROM)

作者： Mohammad A. Khosravi Hamid D. Taghirad Reza Oftadeh Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical and Computer Engineering K. N. Toosi University of Technology Tehran Iran Intelligent Hydraulics and Automation Department (lHA) Tampere University of Technology Finland

In this paper design and control of planar cable-driven parallel robots are studied in an experimental prospective. Since in this class of manipulators, cable tensionability conditions must be met, feedback control of such robots becomes more challenging than for conventional robots. To meet these conditions, internal force control structure is introduced and used in addition to a PID control scheme to ensure that all cables remain in tension. A robust PID controller is proposed for partial knowledge of the robot, to keep the tracking errors bounded. Finally, the effectiveness of the proposed control algorithm is examined through experiments on K.N. Toosi planar cable-driven robot and it is shown that the proposed control structure is able to provide suitable performance in practice.

关键词： PD control Assembly Logic gates Servomotors Force

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Norm Optimal Iterative Learning control with Auxiliary Optimization: A Switching Approach

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IFAC Proceedings Volumes 2013年第11期46卷 140-145页

作者： David H. Owens Chris T. Freeman Bing Chu Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD UK Electronics and Computer Science University of Southampton Highfield Southampton SO17 1BJ UK (Department of) Advanced Robotics Instituto Italiano di Tecnologia via Morego 30 16163 Genova

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Norm Optimal Iterative Learning control for Planar Tracking Tasks

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IFAC Proceedings Volumes 2013年第11期46卷 683-688页

The Iterative Learning control (ILC) problem in which tracking is only required at a subset of isolated time points along the trial duration has recently gained significant attention since it addresses the practical needs of many *** paper extends the framework by embedding simultaneous iterative convergence of subsets of outputs to reference trajectories on subintervals. This enables it to tackle tasks which mix ‘point to point’ movements with linear tracking requirements, which substantially broadens the application domain (e.g. to include automation tasks which include welding or cutting movements, or human motion control where the movement is restricted by the task to straight line and/or planar segments). A solution to the problem is presented in the framework of Norm Optimal ILC (NOILC), providing well-defined convergence properties, design guidelines and supporting experimental results.

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Automatic detection of photic evoked spikes contaminated with slow burst by use of morphological filter and similarity coefficient

Automatic detection of photic evoked spikes contaminated wit...

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6th International Conference on Complex Medical engineering, CME 2012

作者： Nishida, Shigeto Sugi, Takenao Ikeda, Akio Nagamine, Takashi Shibasaki, Hiroshi Nakamura, Masatoshi Department of Computer and Communication Engineering Fukuoka Institute of Technology Fukuoka Japan Department of Advanced Systems Control Engineering Saga University Saga Japan Department of Neurology Kyoto University School of Medicine Kyoto Japan Department of System Neuroscience Sapporo Medical University Sapporo Japan Takeda General Hospital Kyoto Japan Research Institute of Systems Control Saga Japan

ISBN: (纸本)9781467316163

A method for detecting spikes and slow burst in photic evoked electroencephalogram (EEG) was proposed. The spikes were detected by combining methods of the morphological filter and the similarity coefficient in the time domain. The slow burst was detected by using pole of AR model (auto-regressive model) in the frequency domain. The proposed method was applied for the photic evoked EEG data containing spikes and slow burst, and brought satisfactory coincidence with the results interpreted by a qualified electroencephalographer. © 2012 IEEE.

关键词： Electroencephalography

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Modified Iterative-Learning-control-Based Ramp Metering Strategies for Freeway Traffic control With Iteration-Dependent Factors

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IEEE Transactions on Intelligent Transportation systems 2012年第2期13卷 606-618页

作者： Zhongsheng Hou Jingwen Yan Jian-Xin Xu Zhenjiang Li Advanced Control Systems Laboratory of School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Department of Electrical and Computer Engineering National University of Singapore Singapore Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing China

For a freeway traffic system with strict repeatable pattern, iterative learning control (ILC) has been successfully applied to local ramp metering for a macroscopic freeway environment by formulating the original ramp metering problem as an output tracking, disturbance rejection, and error compensation problem. In this paper, we address the freeway traffic ramp-metering system under a nonstrict repeatable pattern. ILC-based ramp metering and ILC add-on to ALINEA strategies are modified to deal with the presence of iteration-dependent parameters, iteration-dependent desired trajectory, and input constraints. Theoretical analysis and extensive simulations are used to verify the effectiveness of the proposed approaches.

关键词： Traffic control Trajectory Mathematical model Vehicles Equations Feedback control

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