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Approximation and implementation of transformation based feedback laws for distributed parameter systems

PAMM 2018年第1期17卷

作者： Stefan Ecklebe Marcus Riesmeier Frank Woittennek Institute of Control Theory Technische Universität Dresden Georg-Schumann-Str. 7a 01062 Dresden Institute of Automation and Control Engineering UMIT – Private University of Health Sciences Medical Informatics and Technology Eduard-Wallnoefer-Zentrum 1 A-6060 Hall in Tirol

A novel approach to the efficient numerical approximation and implementation of transformation based state feedback originating from backstepping or flatness based approaches is applied to a flatness based feedback la...

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Dynamic study of a Counter-terrorism model 35

Dynamic study of a Counter-terrorism model

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第35届中国控制会议

作者： HUANG Xianlin ZHANG Hongyang YIN Hang GAO Xiao-Zhi Center for Control Theory and Guidance Technology Harbin Institute of Technology Department of Electrical Engineering and Automation Aalto University School of Electrical Engineering

ISBN: (纸本)9781509009107

We describe antiterrorist wars with a new mode which is different from the old Lanchester model. The new model can explain the reason why terrorism does' t drive down and even restores resurgence form death. Rich dynamic properties of new model are interesting with actual significance. We analysis the varying parameters of the model to affect result of war. Some times army maybe win the war and some times the war will continue for a long time. What is the most important thing that we consider the inhomogeneous distribution of people on the battlefield.

关键词： Military Systems Dynamic Properties Periodic Solution Anti-Terrorism Model

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Automatic generation of bounds for polynomial systems with application to the lorenz system

arXiv

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arXiv 2017年

作者： Röbenack, Klaus Voßwinkel, Rick Richter, Hendrik Technische Universität Dresden Faculty of Electrical and Computer Engineering Institute of Control Theory Dresden01062 Germany Htwk Leipzig University of Applied Sciences Faculty of Electrical Engineering and Information Technology Leipzig04107 Germany

This study covers an analytical approach to calculate positive invariant sets of dynamical systems. Using Lyapunov techniques and quantifier elimination methods, an automatic procedure for determining bounds in the state space as an enclosure of attractors is proposed. The available software tools permit an algorithmizable process, which normally requires a good insight into the systems dynamics and experience. As a result we get an estimation of the attractor, whose conservatism only results from the initial choice of the Lyapunov candidate function. The proposed approach is illustrated on the well-known Lorenz system.34D45, 37C70, 37C75 Copyright © 2017, The Authors. All rights reserved.

关键词： Dynamical systems

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Iterative Learning control Applied to a Deformable Mirror

Iterative Learning Control Applied to a Deformable Mirror

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Chinese control Conference

作者： Blazej Cichy Petr Augusta Krzysztof Galkowski Eric Rogers Institute of Control and Computation Engineering University of Zielona Góra Poland The Czech Academy of Sciences Institute of Information Theory and Automation Prague Czech Republic Department of Electronics and Computer Science University of Southampton Southampton UK

An unconditionally stable finite difference discretization motivated by the well-known Crank-Nicolson method is used to develop an iterative learning control design for systems whose dynamics are described by a fourth-order partial differential equation. A discrete in time and space model of a deformable rectangular mirror is derived in this setting and forms the basi s for the new design, where a model for the actuator dynamics is also included. A numerical case study is given to demonstrate the properties of the new design.

关键词： Mathematical model Actuators Mirrors Iterative learning control Force Electronic mail Partial differential equations

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Position Observation for Proportional Solenoid Valves by Signal Injection

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IFAC-PapersOnLine 2016年第21期49卷 74-79页

作者： Braun, Tristan Reuter, Johannes Rudolph, Joachim Institute of System Dynamics Konstanz University of Applied Sciences Konstanz78462 Germany Chair of Systems Theory and Control Engineering Saarland University Campus A5 1 Saarbrücken66123 Germany

The method of signal injection is investigated for position estimation of proportional solenoid valves. A simple observer is proposed to estimate a position-dependent parameter, i.e. the eddy current resistance, from which the position is calculated analytically. Therefore, the relationship of position and impedance in the case of sinusoidal excitation is accurately described by consideration of classical electrodynamics. The observer approach is compared with a standard identification method, and evaluated by practical experiments on an off-the-shelf proportional solenoid valve. © 2016

关键词： Solenoid valves Electromagnets Hydraulic actuators Magnetic actuators Magnetic fields Parameter estimation Solenoids Classical electrodynamics Electromagnetic devices Identification method Observers Position dependents Position estimation Proportional solenoid valves Sinusoidal excitations

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Modeling and Iterative Learning control of a Circular Deformable Mirror

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IFAC-PapersOnLine 2017年第1期50卷 3117-3122页

作者： Cichy B. Augusta P. Gałkowski K. Rauh A. Aschemann H. Rogers E. Rehák B. Institute of Control and Computation Engineering University of Zielona Góra ul. Szafrana 2 Zielona Góra 65-516 Poland Institute of Information Theory and Automation The Czech Academy of Sciences Pod Vod´arenskou věží 4 Prague CZ-182 08 Czech Republic Chair of Mechatronics University of Rostock Justus-von-Liebig-Weg 6 Rostock D-18059 Germany Department of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom

An unconditionally stable finite difference scheme for systems whose dynamics are described by a fourth-order partial differential equation is developed using a regular hexagonal grid. The scheme is motivated by the well-known Crank-Nicolson discretization that was originally developed for second-order systems and it is used in this paper to develop a discrete in time and space model of a deformable mirror as a basis for control law design. As one example, the resulting model is used for iterative learning control law design and supporting numerical simulations are given. © 2017

关键词： control of partial differential equations Iterative learning control Linear systems N-dimensional systems Stability of distributed parameter systems

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Unimodular completion and direct flat representation in the context of differential flatness

Unimodular completion and direct flat representation in the ...

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Joint 87th Annual Meeting on the International Association of Applied Mathematics and Mechanics, GAMM 2016 and Deutsche Mathematiker‐Vereinigung, DMV 2016

作者： Fritzsche, Klemens Knoll, Carsten Franke, Matthias Röbenack, Klaus Institute of Control Theory Dresden University of Technology Germany Fraunhofer Institute for Integrated Circuits IIS Division Engineering of Adaptive Systems EAS Dresden Germany

Despite its significance in nonlinear controller design, the verification of the property of differential flatness and the identification of so-called flat outputs is a continuing research topic. However, the difficulty of both verification and identification heavily depends on the representation of the system. This contribution shows that flatness may be a far less complicated matter, depending on the choice of coordinates. © 2016 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

关键词： controllers

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Real-Time capable model predictive approach to lateral vehicle guidance 19

Real-Time capable model predictive approach to lateral vehic...

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19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016

作者： Götte, Christian Keller, Martin Rösmann, Christoph Nattermann, Till Haß, Carsten Glander, Karl-Heinz Seewald, Alois Bertram, Torsten Institute of Control Theory and Systems Engineering TU Dortmund University Dortmund44227 Germany Active and Passive Safety Technology ZF TRW Düsseldorf40547 Germany

ISBN: (纸本)9781509018895

The paper at hand proposes a real-Time capable approach to combined trajectory planning and control. One single prediction model is used to plan a feasible trajectory and to perform lateral guidance of the vehicle at the same time. Nonlinear model predictive control (NMPC) methods are applied to solve the optimal control problem, which incorporates environmental constraints leading to a model predictive planning and control approach (MPPC). Experiments are conducted utilizing a rapid prototyping system. The analysis shows the versatile application range of the developed algorithm, such as challenging emergency evasive maneuvers as well as automated steering as an approach to lateral guidance of the vehicle in general. © 2016 IEEE.

关键词： Optimal control systems

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Fault diagnosis based on deep learning

Fault diagnosis based on deep learning

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American control Conference

作者： Feiya Lv Chenglin Wen Zejing Bao Meiqin Liu Institute of Control Theory and Control Engineering Zhejiang University Hangzhou China Institute of Systems Science and Control Engineering School of Automation Hangzhou Dianzi University 310000 China

ISBN: (纸本)9781467386838

As representation scheme can severely limit the window by which the system observes its world, deep learning for fault diagnosis is put forward in this paper. It is a real time online scheme that can enhance the accuracy of detection, classification and prediction, and efficient for incipient faults that cannot be detected by traditional statistic technology. A stacked sparse auto encoder is used to learn the deep architectures of fault data to minimize the loss of information. Experiment results show that the proposed method not only improves the divisibility between faults and normal process, but also exhibits a better performance on the accuracy of fault classification for the chemical benchmark, Tennessee Eastman Process (TEP) data.

关键词： sparse auto encoding fault detection fault classification deep learning Fault class Machine Learning Fault diagnosis Defect detection faults normal process Divisibility

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Automatic Segmentation of the Epicardium and Endocardium using convolutional neural network

Automatic Segmentation of the Epicardium and Endocardium usi...

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2016 IEEE 13th International Conference on Signal Processing（ICSP2016）

作者： Zhao,Yue Li,Wenqiang Jin,Jing Jiang,Yu Shen,Yi Wang,Yan IEEE Control Theory and Engineering School of AstronauticsHarbin Institute of Technology

Automatic segmentation of the Epicardium and Endocardium plays an important role in the diagnosis of myocardial ischemia. Due to the speckle noise of ultrasound images and the complexity of cardiac tissue, the segmentation is still manual or semi-automatic. A fully automatic segmentation method based on Convolutional Neural Network(CNN) is proposed in this paper: localization segmentation method, which can obtain the position of the Epicardium and Endocardium based on the output of the network, then the segmentation is completed according to reprocessing based on the position. We concentrate the solutions of the following problems to supervised learning models: 1) the need of training images which have obvious features;2) the design of network;3) correlation between group images. The performance of our approach is evaluated using four different datasets containing 800 ultrasound images of Sprague-Dawley rats. The quality grades of the manual and automatic segmentation methods have been calculated, and the proportion of poor segmentation quality is decreased from 3.48% to 2.39%, which shows that our proposed method has improved segmentation accuracy and stability. The efficiency of our fully automatic segmentation method is higher than traditional segmentation strategies. The proposed method can optimize the clinical procedure and decrease the variability of manual segmentations.

关键词： echocardiography image automatic segmentation Epicardium and Endocardium convolutional neural network

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