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第35届中国控制会议

作者： Xu Piaopiao Bu Xuhui Hou Zhongsheng School of Electrical Engineering & Automation Henan Polytechnic University Advanced Control Systems Lab. School of Electronics and Information EngineeringBeijing Jiaotong University

ISBN: (纸本)9781509009107

This paper considers the convergence of iterative learning control(ILC) for discrete time systems with data quantization. Two iterative learning control schemes are proposed by using the system output quantized signal and tracking error quantized signal. Based on the super-vector formulation of the ILC systems, the convergence conditions for the two iterative learning control schemes are given respectively. It is shown that the ILC law with system output quantized signal only make the tracking error converge to a bound, thus the ILC law with tracking error quantized signal can obtain zero tracking error. The results are illustrated by a numerical example.

关键词： iterative learning control super-vector formulation data quantization discrete time system

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A Novel Data-driven Terminal Iterative Learning control for Nonlinear Time-varying systems 34

A Novel Data-driven Terminal Iterative Learning Control for ...

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第三十四届中国控制会议

作者： CHI Ronghu LIU Yu HOU Zhongsheng JIN Shangtai School of Automation & Electrical Engineering Qingdao University of Science & Technology Advanced Control Systems Lab School of Electronics & Information EngineeringBeijing Jiaotong University

ISBN: (纸本)9781467374439

In this paper, a novel terminal iterative learning control approach is explored for a class of nonlinear discrete-time systems. It targets a terminal tracking tasks to a single desired point at the end of a run. A new control objective function is designed by incorporating a forgetting factor to obtain the control law. The proposed approach is a data-driven scheme and only depends on the measured I/O data without any modeling knowledge. The simulation results demonstrate the effectiveness of the proposed method.

关键词： Data-driven control,Terminal ILC,Forgetting factor,Nonlinear discrete-time systems

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Personalized gesture interactions for cyber-physical smart-home environments

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Science China(Information Sciences) 2017年第7期60卷 144-158页

作者： Yihua LOU Wenjun WU Radu-Daniel VATAVU Wei-Tek TSAI State Key Laboratory of Software Development Environment Beihang University Mint Viz Research Lab Integrated Center for Research Developmentand Innovation in Advanced MaterialsNanotechnologies and Distributed Systems for Fabrication and Control (MANSiD) & Department of Computer Science University Stefan cel Mare of Suceava

A gesture-based interaction system for smart homes is a part of a complex cyber-physical environment, for which researchers and developers need to address major challenges in providing personalized gesture interactions. However, current research efforts have not tackled the problem of personalized gesture recognition that often involves user identification. To address this problem, we propose in this work a new event-driven service-oriented framework called gesture services for cyber-physical environments(GS-CPE) that extends the architecture of our previous work gesture profile for web services(GPWS). To provide user identification functionality, GS-CPE introduces a two-phase cascading gesture password recognition algorithm for gesture-based user identification using a two-phase cascading classifier with the hidden Markov model and the Golden Section Search, which achieves an accuracy rate of 96.2% with a small training dataset. To support personalized gesture interaction, an enhanced version of the Dynamic Time Warping algorithm with multiple gestural input sources and dynamic template adaptation support is implemented. Our experimental results demonstrate the performance of the algorithm can achieve an average accuracy rate of 98.5% in practical scenarios. Comparison results reveal that GS-CPE has faster response time and higher accuracy rate than other gesture interaction systems designed for smart-home environments.

关键词： gesture interaction personalization gesture recognition user identification event-driven architec ture

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Model-based Tracking for Agent-based control systems in the Case of Sensor Failures

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International Journal of Automation and computing 2012年第6期9卷 561-569页

作者： R.P.Yadav P.V.Varde P.S.V.Nataraj P.Fatnani C.P.Navathe Accelerator Control Section Accelerator Control and Beam Diagnostics DivisionRaja Ramanna Centre for Advanced Technology Life Cycle Reliability Engineering Lab Safety Evaluation and Manpower Training and Development SectionBhabha Atomic Research Centre Inter Disciplinary Program in Systems and Control Engineering Group Indian Institute of Technology Bombay

The study on artificial intelligence(AI) methods for tuning of particle accelerators has been reported in many *** paper presents tuning method for agent-based control systems of transport lines in the case of sensor/actuator *** method uses model-based tracking concept to relax the demand on sensor *** condition for successful operation of the stated scheme is derived,and the concept is demonstrated through simulation by applying it to the model of microtron,transport line-1 and booster of indus *** results show that this approach is very effective in transport line control during sensor/actuator failures.

关键词： Agent agent-based control model-based tracking transport line control artificial intelligence(AI).

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Implementation of virtual factory using MMS companion standard 4

Implementation of virtual factory using MMS companion standa...

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4th IEEE International Workshop on Factory Communication systems, WFCS 2002

作者： Myoung, Kwan-Joo Kim, Dong-Sung Kwon, Wook Hyun Engineering Research Center for Advanced Control Instrument Control Information Systems Lab. School of Electrical Engineering and Computer Science Seoul National University Seoul151-742 Korea Republic of

ISBN: (纸本)0780375866

In this paper, a virtual factory using the manufacturing message specification (MMS) companion standard is implemented. The MMS companion standard (9506-3 ∼ 9506-7) and virtual machines are designed and implemented for robot, numerical controller (NC), programmable logic controller (PLC), and process control (PC). Finally, the MMS Internet monitoring system (MIMS) is developed for the testing system. © 2002 IEEE.

关键词： MMS companion standard On-line monitoring Virtual factory

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A genetic approach to anti-air missile control system design

A genetic approach to anti-air missile control system design

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作者： Mehrabian, Ali Reza Nayebpanah, Nastaran Advanced Dynamic and Control Systems Lab. School of Mechanical Engineering University of Tehran P.O.Box: 14875-347 Tehran Iran

ISBN: (纸本)9783902661241

Modern aircrafts and missiles with high manoeuvrability present an interesting challenge to autopilot design, which has activated new investigations in estimating the potential and applicability of recent theoretical control methods as well as how they can meet industrial demands. In this paper, a multi-objective approach for autopilot design is introduced. The design requirements are formulated using several integral criteria. A hybrid-genetic algorithm (GA) is employed to solve the nonlinear optimization problem. The obtained results are verified using nonlinear simulations in SIMULINK® which shows performance, stability and robustness of the designed flight controller. Copyright © 2007 IFAC.

关键词： Genetic algorithms

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Iterative Learning control for Discrete-time systems with Quantized Measurements 27

Iterative Learning Control for Discrete-time Systems with Qu...

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第27届中国控制与决策会议

作者： Bu Xuhui Cheng Zihao Hou Zhongsheng School of Electrical Engineering & Automation Henan Polytechnic University Advanced Control Systems Lab. School of Electronics and Information EngineeringBeijing Jiaotong University

ISBN: (纸本)9781479970186

In this paper,the problem of iterative learning control(ILC) for discrete-time systems with quantized output measurements is ***,a logarithmic quantizer is introduced and an ILC scheme is constructed by using output signals with only a finite number of quantization *** using sector bound method to deal with the quantization error,a learning condition of ILC that guarantees the convergence of tracking error is derived through rigorous *** is shown that the convergence condition is determined by quantization level,and the tracking error converges to a bound depending on quantization ***,an illustrative example is presented to demonstrate the theoretical results.

关键词： Iterative learning control,quantized measurements,discrete-time systems,networked control.

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A novel LVQ classification method for crack detection in plates using lamb waves

A novel LVQ classification method for crack detection in pla...

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16th International Congress on Sound and Vibration 2009, ICSV 2009

作者： Soorgee, M.H. Koma-Yousefi, A. Afshar, S. Advanced Dynamic and Control Systems Lab. Faculty of Mechanical Eng. University of Tehran P.Box:11365-4563 Tehran Iran

ISBN: (纸本)9781615677368

In this paper a new method for crack detection in plates based on lamb wave propagation and fuzzy rule based classification is presented. Lamb wave propagation within an aluminium plate has been modelled using explicit dynamic finite element method and verified by experimental works in literature. Having developed a reliable FEM model for lamb wave propagation, a piezoelectric actuator, eight piezoelectric sensors and a tiny groove as the crack, have been placed on the plate to produce and sense lamb waves. All sensors signals have been obtained and processed by new developed signal processing method, Hilbert Huang Transform, to find the first three peaks in their energy density spectrum. Having changed the location of the crack, numerous simulations have been done and sensor responses have been gathered to provide necessary amount of data to be used as fuzzy rule based classification data. The feature space of the problem has been classified into labelled classes using Linear Vector Quantization (LVQ) algorithm. Cluster Mean Selection (CMS) method has been employed to initiate LVQ by means of clustering the input space into some clusters using Gustafson-Kessel (GK) method. The aluminium plate has also been divided into eight Voronoi regions and a unique correspondence between each cluster and plate region has been found to role as a reliable fuzzy system for crack locating.

关键词： Surface waves

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A neural network based algorithm for crack detection in plates using lamb waves

A neural network based algorithm for crack detection in plat...

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16th International Congress on Sound and Vibration 2009, ICSV 2009

作者： Soorgee, M.H. Yousefi-Koma, A. Advanced Dynamic and Control Systems Lab. Faculty of Mechanical Eng. University of Tehran P. Box 11365-4563 Tehran Iran

ISBN: (纸本)9781615677368

In this paper a new method for crack detection in shell like structures based on lamb wave propagation and neural networks is presented. Lamb wave propagation within an aluminum plate has been modeled using explicit dynamic finite element method and verified by experimental works in literature. Having developed a reliable FEM model for lamb wave propagation, a piezoelectric actuator, eight piezoelectric sensors and a tiny groove as the crack, have been placed on the plate to produce and sense lamb waves. All sensors signals have been obtained and processed by new developed signal processing method, Hilbert Huang Transform, to find the first three peaks in their energy density spectrum. Having changed the location of the crack, numerous simulations have been done and sensor responses have been gathered to provide necessary amount of data for network training. These three peaks times have been used as the network inputs and region of the crack has been given to the network as the output. The plate has been divided to four regions and each region has been divided in four sub areas. ABAQUS FE software has been employed for modeling of the problem. A Radial Basis network has been trained successfully to find the region of the crack in the plate. Finding the region of the crack in the plate in the first step, it is possible to repeat the algorithm to find the sub area in which the crack located. The method has been verified by three test points for the crack and passed the test successfully.

关键词： Piezoelectricity

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Black Box Model Analysis for Industrial Fault Monitoring 28

Black Box Model Analysis for Industrial Fault Monitoring

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28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Galve, Sergio Vilajosana, Xavier Puig, Vicenç Universitat Oberta de Catalunya Wireless Networks Research Lab Barcelona Spain Universitat Politècnica de Catalunya Advanced Control Systems Barcelona Spain

ISBN: (纸本)9798350339918

The aim of this paper is to present and discuss an analysis approach that can be deployed independently of the modelling tool capable of evaluating the samples of an assembled machine. By including an analysis of the results given the context of the input variables and the training performance, the method could be applied independently to the changes in modelling or the modelling approach. A real case study based on a water-cooling device has been used to illustrate the proposed approach. © 2023 IEEE.

关键词： black box interpretability data-based methods Fault

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