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IEEE International Symposium on Circuits and systems (ISCAS)

作者： Jinhu Lu K. Murali S. Sinha H. Leung Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and Systems Science슠Chinese Academy of Sciences Beijing China Department of Physics Anna University Chennai India Institute for Mathematical Sciences Chennai India Department of Electrical and Computer Engineering University of Calgary Calgary Canada

This paper proposes a novel threshold control approach for creating multi-scroll chaotic attractors. The general jerk circuit is used as an example to show the working principle of this method. The controlled jerk circuit can emerge various limit cycles and n-scroll chaotic attractors by adjusting the upper threshold, lower threshold, and the width of inner saturated plateau. The dynamical mechanism of the threshold control is then further explored by analyzing the system dynamical behaviors. In particular, this method is effective and simple to implement since we only need monitor a single state variable and reset it if it exceeds the thresholds. It indicates the potential engineering applications for various chaos-based information systems

关键词： Chaos control systems Circuits Limit-cycles Optimal control Linear feedback control systems Hysteresis Laboratories Physics computing systems engineering and theory

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Significance of Pacemaker vs. Non-Pacemaker Neurons in an Excitatory Rhythmic Network

Significance of Pacemaker vs. Non-Pacemaker Neurons in an Ex...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Liston K. Purvis Terrence M. Wright Jeffrey C. Smith Robert J. Butera Laboratory for Neuroengineering Georgia Institute of Technology Atlanta GA USA Department of Biology Emory University Atlanta GA USA Cellular and Systems Neurobiology Section Laboratory of Neural Control NINDS-National Institutes of Health Bethesda MD USA Laboratory for Neuroengineering and School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

This modeling study investigates the functional role of pacemaker neurons in generating stable rhythms in the pre-Botzinger complex, a subcircuit of the respiratory pattern-generating circuitry in mammals. While the presence of pacemakers within the network is without doubt, the percentage and significance of such pacemakers is still unresolved. Here we revisited earlier network simulations by varying the fraction of pacemaker and non-pacemaker neurons within the network, and quantifying the robustness of the input parameter space and range of frequencies output by the network. Stable network rhythms were possible even with no pacemakers. However, we found that a network of at least 50% pacemakers produced the greatest range of output frequencies and had the more robust input space

关键词： Pacemakers Neurons Frequency Rhythm Robustness Circuits Laboratories Neural engineering Cities and towns USA Councils

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Fault detection filter for nonlinear systems using linear approximations

Fault detection filter for nonlinear systems using linear ap...

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作者： Hernandez, C. Navarro Crusca, F. Aldeen, M. Banks, S.P. Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom Department of Electrical and Computer Systems Engineering Monash University Clayton VIC 3800 Australia Department of Electrical and Electronic Engineering University of Melbourne Parkville VIC 3010 Australia

ISBN: (纸本)008045108X

in this paper, the design of a fault detection filter for nonlinear systems is presented. The nonlinear system is represented as a sequence of linear time- varying approximations and at each linear approximation the design of an optimal stochastic fault detection filter for linear time-varying systems is applied. The final residual is primarily affected by a target fault and minimally by nuisance faults. Copyright © 2005 IFAC.

关键词： Nonlinear systems

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A neural network based Wide Area Monitor for a power system

A neural network based Wide Area Monitor for a power system

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2005 IEEE Power engineering Society General Meeting

作者： Li, Xiaomeng Venayagamoorthy, Ganesh K. IEEE Real-Time Power and Intelligent Systems Laboratory University of Missouri Rolla MO 65409 United States Department of Electrical and Computer Engineering University of Missouri Rolla United States South African Institute of Electrical Engineers IEEE St. Louis Computational Intelligence Department of Task Force on Intelligent Control Systems Secretary of the Intelligent Systems Subcommittee IEEE Power Engineering Society

ISBN: (纸本)078039156X

With the deregulation of power industry, many tie lines between control areas are driven to operate near their maximum capacity, especially those serving heavy load centers. Wide area controllers (WACs) using wide-area or global signals can provide remote auxiliary control signals to local controllers such as automatic voltage regulators, power system stabilizers, etc to damp out inter-area oscillations. The power system is highly nonlinear system with fast changing dynamics. In order to have an efficient WAC, an online system monitor/predictor is required to provide inter-area information to the WAC from time to time. This paper presents the design of an online Wide Area Monitor (WAM) using a neural network called the Wide Area Neuroidentifier (WANI). The WANI is used to predict ahead the speed deviations of generators in the different areas using phasor measurement unit (PMU). Results are presented to show the effectiveness of the wide area monitor for different disturbances. © 2005 IEEE.

关键词： Wide area networks

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FAULT DETECTION FILTER FOR NONLINEAR systems USING LINEAR APPROXIMATIONS

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IFAC Proceedings Volumes 2005年第1期38卷 55-60页

作者： C. Navarro Hernandez F. Crusca M. Aldeen S.P. Banks Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD UK Department of Electrical and Computer Systems Engineering Monash University Clayton VIC 3800 Australia Department of Electrical and Electronic Engineering The University of Melbourne Parkville VIC 3010 Australia

In this paper, the design of a fault detection filter for nonlinear systems is presented. The nonlinear system is represented as a sequence of linear time-varying approximations and at each linear approximation the design of an optimal stochastic fault detection filter for linear time-varying systems is applied. The final residual is primarily affected by a target fault and minimally by nuisance faults.

关键词： Fault detection Filter design Linear equations Nonlinear system Time-varying systems

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Measuring the Performance of Iterative Learning control systems

Measuring the Performance of Iterative Learning Control Syst...

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IEEE International Symposium on Intelligent control (ISIC)

作者： J.D. Ratcliffe P. Lewin E. Rogers J.J. Hatonen T. Harte D.H. Owens School of Electronics and Computer Science University of Southampton Southampton UK Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Systems Engineering Laboratory University of Oulu Finland

Iterative learning control has the potential to significantly improve the tracking performance of repeating trajectory control systems. However, until now little attempt has been made to measure this performance quantitatively. A new iterative learning control performance index PI N is introduced which allows direct, quantitative, performance comparison of different algorithms, or alternatively a single algorithm which has variable tuning parameters. In particular, PI N can be used as a tool for selecting and adjusting algorithm tuning parameters. Application of the new performance index is demonstrated with both simulation studies and practical implementation on a gantry robot

关键词： control systems Performance analysis Adaptive control Trajectory Iterative algorithms Three-term control systems engineering and theory Modeling Convergence Stability analysis

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Learning control: The state of the art and perspective

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Zidonghua Xuebao/Acta automatica Sinica 2005年第6期31卷 943-955页

作者： Xu, Jian-Xin Hou, Zhong-Sheng Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 China

The recent advances in learning control theory are reviewed. First insight is provided into the concept and principle associated with learning control under a repeatable control environment. Then a briefing is given to the two main streams of learning control-iterative learning control and repetitive control. Subsequently we survey several hot topics in the field of learning control. New trends in learning control using Lyapunov methods are also sketched, followed by remarks on future directions.

关键词： Learning systems

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Iterative learning control for cross-coupled contour motion systems

Iterative learning control for cross-coupled contour motion ...

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IEEE International Conference on Mechatronics and Automation

作者： HongSheng Li Xingpeng Zhou YangQuan Chen Department of Automatic Control South-East University Nanjing Jiangsu China Center for Self-Organizing and Intelligent Systems Department of Electrical and Computer Engineering Utah State University Logan UT USA

Iterative learning control (ILC) is a powerful control concept that iteratively improves the behavior of processes that are repetitive in nature and cross-coupled control (CCC) has been developed to effectively reduce the contouring error. This paper proposes an integrated controller which combines ILC and CCC to achieve a better performance. In the presented preliminary simulation study, smaller contour error and tracking error can be achieved and moreover, contouring error is less oscillatory because CCC suppresses the inter-axis mismatch "cross error".

关键词： Motion control control systems Error correction computer errors computer numerical control Feedback loop automatic control Adaptive control Feedforward systems Tracking loops

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Fast norm-optimal iterative learning control for industrial applications

Fast norm-optimal iterative learning control for industrial ...

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American control Conference (ACC)

作者： J. Ratcliffe L. van Duinkerken P. Lewin E. Rogers J. Hatonen T. Harte D. Owens School of Electronics and Computer Science University of Southampton Southampton UK Department of Applied Mathematics Delft University of Technnology Delft Netherlands Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Systems Engineering Laboratory University of Oulu Oulu Finland

Norm-optimal iterative learning control has potential to significantly increase the accuracy of many trajectory tracking tasks which can be found in industry. The algorithm can achieve very low levels of tracking error and the number of iterations required to reach minimal error is small compared to many other iterative learning control algorithms. However, in the current format, the algorithm is not attractive to industry because it requires a large number of calculations to be performed at each sample instant. This implies that control hardware must be very fast which is expensive, or that the sample frequency must be reduced which can result in reduced performance. To remedy these problems, a revised version, fast norm-optimal iterative learning control is proposed which is significantly simpler and faster to implement. The new version is tested both in simulation and in practice on a three axis industrial gantry robot.

关键词： Industrial control control systems Trajectory Iterative algorithms Error correction Frequency Service robots Robotic assembly systems engineering and theory Hardware

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Mixed H2/H∞ and robust control of differential linear repetitive processes

Mixed H2/H∞ and robust control of differential linear repet...

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IEEE Conference on Decision and control

作者： W. Paszke K. Gakowski E. Rogers A. Kummert D.H. Owens Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra Poland School of Electronics and Computer Science University of Southampton Southampton UK Faculty of Electrical University of Wuppertal Wuppertal Germany Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Repetitive processes are a distinct class of 2D systems (*** propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give new results on the design of physically based control laws and, in particular, the first results on a mixed H 2 /H ∞ approach and on H 2 control in the presence of uncertainty in the process model.

关键词： Robust control control systems Linear systems Uncertainty Writing Disk drives Process control Iterative algorithms control engineering computing computer science

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