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INPUT RECONSTRUCTION BY MEANS OF SYSTEM INVERSION: APPLICATION TO FAULT DETECTION AND ISOLATION

IFAC Proceedings Volumes 2002年第1期35卷 13-18页

作者： F. Szigeti J. Bokor A. Edelmayer Department of Control Engineering Faculty of Engineering University of Los Andes Mérida A.p. 11 La Hechicera Venezuela Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Kende u. 13–17 H-1111 Hungary

This paper attempts to look at the fundamental problem of fault detection and isolation (FDI) in nonlinear systems. Using the idea of input reconstruction by means of dynamic inversion the authors first discuss the properties of input (or fault) observability in linear systems. The extension of the results to nonlinear systems as well as the mathematical conditions of the calculation of the inverse system, which provides the inverse in finite algorithmic steps, are given. The applicability of the inversion process to fault reconstruction in nonlinear systems is demonstrated.

关键词： Fault detection and isolation Input observability Input reconstruction Inverse system Linear and non-linear systems

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Delay differential control theory applied to differential linear repetitive processes

Delay differential control theory applied to differential li...

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American control Conference (ACC)

作者： E. Rogers K. Galkowski D.H. Owens Department Electronics and Computer Science University of Southampton Southampton UK Institute of Control and Computation Engineering University of Zielona Gora Zielona Gora Poland Dept Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Differential linear repetitive processes are a distinct class of 2D continuous-discrete linear systems of both applications and systems theoretic interest. In applications, they arise in iterative learning control schemes and in iterative solution algorithms for nonlinear dynamic optimal control algorithms based on the maximum principle. Repetitive processes cannot be analysed/controlled by direct application of the existing systems theory and hence a 'mature' systems theory must be developed for them followed (where appropriate) by onward translation into efficient controller design algorithms. This paper continues the development of the former area by developing some significant new results on the application of currently available delay differential systems theory to these processes.

关键词： Delay control theory control systems Iterative algorithms Automatic control Ear Metals industry Optimal control System testing computer science

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Model reference parametric adaptive iterative learning control 15th

Model reference parametric adaptive iterative learning contr...

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15th World Congress of the International Federation of Automatic control, 2002

作者： Yu, H. Deng, M. Yang, T.C. Owens, D.H. School of Engineering and Computer Science Exeter University ExeterEX4 4QF United Kingdom School of Engineering and Information Technology Sussex University BrightonBN1 9QT United Kingdom Department of Automatic Control and Systems Sheffield University SheffieldS1 3JD United Kingdom

ISBN: (纸本)9783902661746

Most of iterative learning control (ILC) methods requires that the relative degree of the plant is less than 2 for a linear system or the plant is passive for a non-linear system. A new model reference parametric adaptive iterative learning control using the command generator tracker (CGT) theory is proposed in this paper. The method can be applied to control a plant with a higher relative degree and it only requires to iteratively adjust nm + 2 parameters for an SISO plant. Therefore, the ILC control system is very simple. The proposed method is in the spirit of simple adaptive control which has received intensive researches during past two decades. Simulation results show the effectiveness and usefulness of the proposed method. Copyright © 2002 IFAC.

关键词： Model reference adaptive control

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Space-time block coding for frequency-selective channels

Space-time block coding for frequency-selective channels

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Erik G. Larsson Petre Stoica Erik Lindskog Jian Li Department of Systems and Control University of Uppsala Uppsala Sweden Department of Electrical and Computer Engineering University of Florida Gainesville FL USA Array Communication Inc. San Jose CA USA

We describe the so-called time-reversal space-time block coding (TR-STBC) transmission scheme for communication systems with multiple transmit antennas operating over frequency-selective channels. TR-STBC can be seen as an extension of the orthogonal space-time block codes for flat fading channels. We show that using TR-STBC, a linear filtering at the receiver can achieve an approximate decoupling of the space-time channel into scalar and independent frequency-selective channels and hence any standard maximum-likelihood sequence detector (MLSD) can be used for equalization. Numerical examples are provided to illustrate the performance of the TR-STBC transmission scheme.

关键词： Variable speed drives Complexity theory Signal to noise ratio Receiving antennas Delay

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A neural approach to an attentive navigation for 3D intelligent virtual agents

A neural approach to an attentive navigation for 3D intellig...

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IEEE International Conference on systems, Man and Cybernetics

作者： M. Lozano J. Molina Artec Group Institute of Robotics. Computer Science Department University of Valencia Valencia Spain Neurotechnology Control and Robotics Group Engineering and Automatic Systems Department Politechnic University of Cartagena Spain

This paper presents an attempt to integrate attention and navigation skills in 3D embodied agents (virtual humanoids). The neural model presented has been divided in two main phases. Firstly the environment-categorization phase, where an online pattern recognition and categorization of the agent current sensory input data is carried out by an adaptive resonance driven self organizing neural network, which will finally simulate the agent's short term memory (STM). Secondly, the model must also learn how and when to map its current STM state into the navigation and attention motor layers of the 3D agent. We also review the world modelling and the agent vision system, and finally we present the first results extracted from two of the subsystems which conforms the complete neural model, such as, the environment categorization subsystem and the base navigation neural model.

关键词： Navigation Intelligent agent Intelligent robots Robotics and automation Humans Graphics Virtual environment Machine vision computer science Augmented virtuality

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Robustness analysis of the heat shock response in E. coli

Robustness analysis of the heat shock response in E. coli

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American control Conference (ACC)

作者： H. El-Samad M. Khammash H. Kurata J. Doyle Electrical and Computer Engineering Iowa State University Ames USA Department of Biochemical Science and Engineering Kyushu Institute of Technology Izuka Japan Control and Dynamical Systems California Institute of Technology Pasadena USA

The bacterial heat shock response refers to the mechanism by which bacteria react to a sudden increase in the ambient temperature of growth. The consequences of such an unmediated temperature increase at the cellular level is the unfolding, misfolding, or aggregation of cell proteins, which threatens the life of the cell. Cells respond to the heat stress by initiating the production of heat-shock proteins whose function is to refold denatured proteins into their native states. The heat shock response, through the elevated synthesis of molecular chaperones and proteases, enables the repair of protein damage and the degradation of aggregated proteins. In a previous work (Kurata et al., 2001), we have devised a dynamic model for the heat shock response in E. coli. In the present paper, we provide a thorough discussion of the dynamical nature of this model. We use sensitivity analysis and simulation tools to illustrate the remarkable efficiency, robustness, and stability of the heat shock response system.

关键词： Robustness Electric shock Proteins Microorganisms Temperature Robust stability Stress Production Degradation Sensitivity analysis

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POSITIVE REALNESS AND THE ANALYSIS OF A CLASS OF 2D LINEAR systems

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IFAC Proceedings Volumes 2002年第1期35卷 219-224页

作者： K. Galkowski W. Paszke B. Sulikowski E. Rogers S. Xu J. Lam Z. Lin D.H. Owens Institute of Control and Computation Engineering University of Zielona Gora Poland Department of Electronics and Computer Science University of Southampton Southampton SO17 1BJ UK Departament of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada T6G 2V4 Department of Mechanical Engineering University of Hong Kong School of EEE Nanyang Technological University Nanyang Ave. 639798 Singapore Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD UK

Repetitive processes are a distinct class of 2D linear systems with applications in areas ranging from long-wall coal cutting and metal rolling operations through to iterative learning control schemes. The main feature which makes them distinct from other classes of 2D linear systems is that information propagation in one of the two independent directions only occurs over a finite duration. This, in turn, means that a distinct systems theory must be developed for them, which can then be translated into efficient routinely applicable controller design algorithms for applications domains. In this paper, we give the first significant results on a positive realness based approach to the analysis of these processes.

关键词： 2D linear systems repetitive processes positive realness

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Decomposition of complex linear systems via hierarchical similarity structure

Decomposition of complex linear systems via hierarchical sim...

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IEEE International Conference on Electronics, Circuits and systems (ICECS)

作者： Y.-W. Jing G.M. Dimirovski J. Zhao M.J. Stankovski Institute of Control Science School of Information Science & Engineering Northeastern University Shenyang Liaoning China Institute of Automation & Systems Engineering Faculty of Electrical Engineering Ss Cyril and Methodius University Skopje Macedonia Department of Computer Engineering Faculty of Engineering Dogus University Istanbul Turkey

In this paper, the problem of system decomposition of complex linear dynamical systems, by exploiting the similarity property, is studied. System decompositions were sought in terms of similarity hierarchical structures. Three new theoretical results were proved. A method for constructing the transformation has been derived. The conditions for such decomposition of complex linear systems are given.

关键词： Linear systems control systems systems engineering and theory Design engineering Interconnected systems Robots Automatic control Information science Automation Modems

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On complex non-linear systems with symmetries: controllability preserving decomposition

On complex non-linear systems with symmetries: controllabili...

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IEEE International Conference on Electronics, Circuits and systems (ICECS)

作者： G.M. Dimirovski Y.-W. Jing J. Zhao T.D. Kolemisevska-Gugulovska Institute of Automation & Systems Engineering Faculty of Electrical Engineering Ss Cyril and Methodius University Skopje Macedonia Department of Computer Engineering Faculty of Engineering Dogus University Istanbul Turkey Institute of Control Science School of Information Science & Engineering Northeastern University Shenyang Liaoning China Institute of Automation & Systems Engineering Faculty of Electrical Engineering Ss Cyril and Methodius University Skopje Macedonia

In this paper, the problems of isomorphic decomposition and controllability of a class of nonlinear systems possessing symmetries, on the basis of quotient systems, is studied. The isomorphic decomposition formations of these systems are derived. Finally, it is shown that controllability of the original systems can be determined by that of the subsystems, which are obtained through isomorphic decomposition. The corresponding sufficient and necessary conditions are given. Two new theoretical results have been proved.

关键词： controllability Nonlinear control systems control systems Nonlinear systems Automatic control Information science Automation systems engineering and theory Feedback Mathematical model

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An extension of weighted strategy sharing in cooperative Q-learning for specialized agents

An extension of weighted strategy sharing in cooperative Q-l...

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International Conference on Neural Information Processing

作者： S.M. Eshgh M.N. Ahmadabadi School of Intelligent Systems Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence and Robotics Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran

Using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rides for unseen situations. These benefits will be gained if the learning agents know the area of expertise and the expertness values of each other. In this paper, some Q-learning agents with different skills and expertness levels cooperate in learning. The agents use some criteria to judge others information and knowledge. Four expertness criterion, certainty and entropy measures are used to assign degrees of importance to others' Q-Tables. Effects of measuring these values based on their whole Q-Table, a portion of Q-Tables that reflects their proficiencies, and the states in Q-Tables on the learning quality are studied. Simple strategy sharing and two different weighted strategy-sharing methods are used to combine the acquired knowledge from different agents.

关键词： Intelligent robots Intelligent agent Process control control systems Intelligent control Laboratories Intelligent systems Physics Mathematics Entropy

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