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Mediterranean Conference on control and automation (MED)

作者： M. Miranda A. Edelmayer Laboratory of Unit Operations Department of Chemical Engineering Faculty of Engineering University of Los Andes Merida Venezuela Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

This paper presents a dual layer approach for robust fault tolerant estimation of nonlinear processes using a combined adaptive extended Kalman filter and fault detection and filter reconfiguration. From the one hand, the filter is made robust in face of environment uncertainty using adaptive filtering. To this end, the filter identifies the measurement covariance by means of recursive estimation, upon which the adaptation relies, to suppress the effect of sporadic variations in the quality of measurements as well as compensates for incipient sensor faults. From the other hand, fault monitoring is continuously applied to the filter's innovation in an attempt to initiate filter reconfiguration when the adaptation mechanism alone is not able to overcome the failure situation. The discussion of the results is embedded in the application framework of state estimation of a batch distillation process.

关键词： Temperature measurement Mathematical model Estimation Technological innovation Noise Fault tolerance Fault tolerant systems

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Recursive filtering for a class of nonlinear systems with missing measurements

Recursive filtering for a class of nonlinear systems with mi...

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UKACC International Conference on control (control)

作者： Jun Hu Zidong Wang Bo Shen Chenxiao Cai James Lam Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China School of Automation Nanjing University of Science and Technology of PLA Nanjing China Department of Information Systems and Computing Brunel University London UK Department of Mechanical Engineering University of Hong Kong Hong Kong China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg Germany

ISBN: (纸本)9781467315593

This paper is concerned with the finite-horizon recursive filtering problem for a class of nonlinear time-varying systems with missing measurements. The missing measurements are modeled by a series of mutually independent random variables obeying Bernoulli distributions with possibly different occurrence probabilities. Attention is focused on the design of a recursive filter such that, for the missing measurements, an upper bound for the filtering error covariance is guaranteed and such an upper bound is subsequently minimized by properly designing the filter parameters at each sampling instant. The desired filter parameters are obtained by solving two Riccati-like difference equations that are of a recursive form suitable for online applications. A simulation example is exploited to demonstrate the effectiveness of the proposed filter design scheme.

关键词： Upper bound Estimation Difference equations Kalman filters Educational institutions Random variables Noise

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Editorial-neural networks and learning systems come together

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IEEE Transactions on Neural Networks and Learning systems 2012年第1期23卷 1-6页

作者： Baesens, Bart Bouboulis, Pantelis Cruces, Sergio Domeniconi, Carlotta Ikeda, Shiro Li, Xuelong Melin, Patricia Rao, V. Sree Hari Schuller, Björn W. Shen, Yi Tang, Huajin Wang, Cong Yang, Jian Zhao, Dongbin Liu, Derong Catholic University of Leuven Belgium University of Athens Greece University of Seville Spain George Mason University United States Institute of Statistical Mathematics Japan University of London United Kingdom Tijuana Institute of Technology Mexico Jawaharlal Nehru Technological University India Technische Universität München Germany Huazhong University of Science and Technology China Institute for Infocomm Research Singapore Singapore South China University of Technology China Nanjing University of Science and Technology China Chinese Academy of Sciences China State Key Laboratory of Management Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Electrical Computer Engineering University of Illinois Chicago IL 60607 United States

This issue marks the beginning of the IEEE Transactions on Neural Networks and Learning systems (TNNLS). By adding «Learning systems» to the title, we now state explicitly the scope of the TRANSACTIONS to include neural networks as well as related learning systems. This issue marks a new era in the history of our TRANSACTIONS. The TRANSACTIONS is now ready to face the challenges of the next 10-20 years. With the evolution of the fields of neural networks in particular and computational intelligence in general, the IEEE Transactions on Neural Networks and Learning systems will continue to grow and to succeed in this ever-changing world. Also included are a few comments about the review process of TNN manuscripts and the introduction of 14 new TNNLS Associate Editors. © 2012 IEEE.

关键词： Learning systems

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Wireless communication for control of manipulation systems

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Archives of control Sciences 2012年第1期22卷 29-41页

作者： Belda, Květoslav Rychnovský, Václav Píša, Pavel Department of Adaptive Systems Institute of Information Theory and Automation Academy Sciences of the Czech Republic Public non-university research institution Pod Vodárenskou věží 4 182 08 Prague 8 Czech Republic Control Engineering Department Faculty of Electrical Engineering Czech Technical University in Prague Karlovo nám. 13 121 35 Prague 2 Czech Republic

The paper deals with a novel application of the wireless data communication for a continual control of the distributed manipulation systems. The solution is intended for industrial robotic plants. A considered way of the wireless communication is based on ZigBee protocol. The protocol is tested for a real time bidirectional data communication within a manipulation system. The system consists of several moving manipulation units, several stationary auxiliary units and one control computer. The computer provides the cooperation of all units in the system in relation to the user requirements. The system is controlled by a simple feedback multi-level control realized in MATLAB - Simulink environment. The paper is focused on the realization of the boards of power electronics, transmitters, optical positional sensors, optical gates and their networking in accordance with ZigBee protocol definition. The behavior of the ZigBee is illustrated by several records from real experiments. Copyright © Silesian University of Technology, 2012.

关键词： Zigbee

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Multi-channel template extraction for automatic EEG spike detection

Multi-channel template extraction for automatic EEG spike de...

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IEEE/institute of Complex Medical engineering International Conference on Complex Medical engineering

作者： Ji, Zhanfeng Sugi, Takenao Goto, Satoru Wang, Xingyu Nakamura, Masatoshi Department of Advanced Systems Control Engineering Saga University Saga Japan Department of Automation East China University of Science and Technology Shanghai China Research Institute of Systems Control Saga Japan

ISBN: (纸本)9781424493241

A multi-channel template extraction method is proposed for automatic EEG spike detection. The template is extracted automatically without any prior knowledge. The template extraction algorithm consists of three steps. Firstly, all possible spike events are detected. Secondly, the focus channels are identified for each event. Thirdly, the multi-channel template is extracted for each focus channel. The algorithm produces template adapted to not only individual patient, but also individual focus. The method was evaluated using the recordings from two epilepsy patients. The results suggested that template method should be of multi-channel for spike detection. © 2011 IEEE.

关键词： Extraction

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Knowledge-based diagnosis of process systems using procedure HAZID information

Knowledge-based diagnosis of process systems using procedure...

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Lecture Notes in Computer Science

作者： Werner-Stark, Ágnes Németh, Erzsébet Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary School of Chemical Engineering University of Queensland Brisbane QLD Australia Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary

ISBN: (纸本)9783642238536

Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state operation. In order to extend this approach for transient operating conditions controlled by operating procedures, the notion of nominal input-output event sequences of qualitative signals has been introduced, and the deviations used in the procedure HAZID analysis have been defined therefrom. The diagnosis can then be performed algorithmically by matching the deviation sequences of the observed input-output event sequences and the nominal ones generated by qualitative dynamic models. The concepts and methods are illustrated using a simple case study consisting of a simple tank, controlled by an operating procedure. © 2011 Springer-Verlag.

关键词： Hazards

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Robust model matching for geometric fault detection filters

Robust model matching for geometric fault detection filters

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作者： Seiler, Peter Bokor, József Vanek, Balint Balas, Gary J. Aerospace and Engineering Mechanics Department University of Minnesota United States Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Hungary

ISBN: (纸本)9781457700804

Geometric fault detection and isolation filters are known for having excellent fault isolation properties. However, they are generally assumed to be sensitive to model uncertainty and noise. This paper proposes a robust model matching method to incorporate model uncertainty into the design of geometric fault detection filters. Several existing methods for robust filter synthesis are described to solve the robust model matching problem. It is then shown that the robust model matching problem has an interesting self-optimality property for multiplicative input uncertainty models. Finally, a simple example is presented to study the effect of parametric uncertainty and unmodeled dynamics on the performance of a geometric filter. © 2011 AACC American Automatic control Council.

关键词： Bandpass filters

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Discrete event model structure identification using process mining

Discrete event model structure identification using process ...

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31st IASTED International Conference on Modelling, Identification, and control, MIC 2011

作者： Werner-Stark, Agnes Gerzson, Miklós Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Egyetemstr. 10 Veszprém Hungary Process Control Research Group Computer and Automation Research Institute HAS Budapest Hungary

ISBN: (纸本)9780889868632

A novel structure identification procedure for discrete event systems described by Petri nets are proposed in this paper for model-based diagnostic purposes that utilize the notions and tools of process mining. The identification of the structurally different discrete event system models describing a system in its normal and/or faulty modes was used for model-based isolation of the considered faulty modes. From the available process mining techniques that allow for the automatic construction of process models in Petri net form based on event logs, the genetic algorithm-based structure identification procedure has been found to be most capable of identifying the characteristic structural elements of the faulty models. The proposed procedures are illustrated on a simple example of an operated parking gate automaton with two faulty modes.

关键词： Discrete event simulation

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Robust H∞ filter design using frequency gridding

Robust H∞ filter design using frequency gridding

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作者： Seiler, Peter Vanek, Balint Bokor, József Balas, Gary J. Aerospace and Engineering Mechanics Department University of Minnesota United States Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Hungary

ISBN: (纸本)9781457700804

This paper considers the design of robust H∞ filters for continuous-time linear systems with uncertainties described by integral quadratic constraints (IQCs). The synthesis problem can be converted into an infinite-dimensional optimization with frequency dependent linear matrix inequality constraints on the filter and IQC multipliers. This optimization is approximated by a finite dimensional semidefinite program by restricting the filter to be a linear combination of basis functions and enforcing the constraints on a finite, but dense, grid of frequencies. A heuristic algorithm is described to quickly solve the resulting finite dimensional optimization. A small example is provided to demonstrate the proposed algorithm. © 2011 AACC American Automatic control Council.

关键词： Optimization

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Computing realizations of reaction kinetic networks with given properties

Computing realizations of reaction kinetic networks with giv...

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International research Workshop: Coping with Complexity: Model Reduction and Data Analysis

作者： Szederkényi, Gábor Hangos, Katalin M. Csercsik, Dávid Process Control Research Group Computer and Automation Research Institute Hungarian Academy of Sciences Budapest 1518 Hungary Department of Electrical Engineering and Information Systems University of Pannonia Egyetem u. 10 Veszprém 8200 Hungary

ISBN: (纸本)9783642149405

The solution to the problem of finding the reaction kinetic realization of a given system obeying the mass action law containing the minimal/maximal number of reactions and complexes is shown in this paper. The proposed methods are based on Mixed Integer Linear Programming where the mass action kinetics is encoded into the linear constraints. Although the problems are NP-hard in the current setting, the developed algorithms give a usable answer to some of the questions first raised in [1].

关键词： Reaction kinetics

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