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Weighted least squares parameter estimation for model predictive control of integrated wastewater systems at medium time scale 10

Weighted least squares parameter estimation for model predic...

引用

10th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and Applications, LSS 2004

作者： Konarczak, K. Rutkowski, T. Brdys, M.A. Gmiriski, T. Department of Automatic Control Gdansk University of Technology ul .G. Narutowicza 11/12 Gdansk80-952 Poland School of Engineering Department of Electronic Electrical and Computer Engineering University of Birmingham BirminghamB15 2TT United Kingdom

The paper presents formulation and implementation of Weighted Least Squares algorithm with moving measurement window for a grey box model parameters estimation purposes. The grey box of a biological reactor dynamics is used by Model Predictive controller to control integrated wastewater treatment system at medium time scale. The parameter estimation Weighted Least Squares algorithm is validated by simulation based on recently developed and calibrated model of integrated wastewater treatment system in Kartuzy, Poland. © 2004 IFAC.

关键词： Parameter estimation

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Set-bounded joined parameter and state estimation for model predictive control of integrated wastewater treatment plant systems at medium time scale 10

Set-bounded joined parameter and state estimation for model ...

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10th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and Applications, LSS 2004

作者： Rutkowski, T. Brdys, M.A. Konarczak, K. Gminski, T. Department of Automatic Control Gdansk University of Technology ul. G. Narutowicza 11/12 Gdansk80 952 Poland School of Engineering Department of Electronic Electrical and Computer Engineering University of Birmingham BirminghamB15 2TT United Kingdom

The paper describes set-bounded parameters and state estimation component for Model Predictive control of integrated wastewater treatment plant at medium time scale purposes. This is one of the components within Intelligent Hierarchical control Structure designed in order to cope with problems of the controlled system such us: multiple time scale, highly non linear dynamics, small number of on-line measurements etc. The set-bounded joined parameter and state estimation algorithm generates robust estimates of these parameters and state for Model Predictive control purposes. Both, the estimation algorithm and the Model Predictive controller utilise a grey-box model of controlled plant dedicated for medium time scale. The set-bounded joined state and grey-box model parameters estimation algorithm is validated by simulation. The data were taken partly from real data records gathered at Kartuzy WWTP in Poland and partly from the Kartuzy plant simulation based on recently developed and calibrated plant model. © 2004 IFAC.

关键词： Robust control

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On hybrid impulsive and switching control with application to chaotic systems

On hybrid impulsive and switching control with application t...

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8th International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Guan, Zhi-Hong Hill, David J. Shen, Xuemin Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China Department of Electronic Engineering City University of Hong Kong Kowloon Hong Kong Hong Kong Department of Electrical and Computer Engineering University of Waterloo Waterloo Ont. N2L 3G1 Canada

ISBN: (纸本)0780386531

In this paper, hybrid impulsive and switching control of nonlinear systems and its application to chaotic systems are considered. Using switched Lyapunov functions, some new general criteria for exponential stability and asymptotical stability of hybrid impulsive and switching nonlinear systems are established and, particularly, some simple criteria for chaos suppression are presented. A new hybrid impulsive and switching control strategy for chaos control is developed. A typical example, the unified chaotic system, is given for illustrating and visualizing the theoretical results. © 2004 IEEE.

关键词： Chaos theory

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Model predictive controller for integrated wastewater treatment systl 10

Model predictive controller for integrated wastewater treatm...

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10th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and Applications, LSS 2004

作者： Gminski, Tomasz Brdys, Mietek A. Grochowski, Michal Drewa, Marcin School of Engineering Department of Electronic Electrical and Computer Engineering University of Birmingham BirminghamB15 2TT United Kingdom Department of Automatic Control Gdansk University of Technology ul. G.Narutowicza 11/12 Gdansk80 9 52 Poland

Optimising control of wastewater treatment systems (WWTS), allowing for cost savings while fulfilling the effluent discharge limits over long period requires application of advanced control techniques. Model Predictive control (MPC) is a very suitable control technology for a synthesis such a truly multivariable controller that can handle constraints and accommodate model-based knowledge combined with hard measurements. A hierarchical architecture is used to structure the MPC controller into the functional Supervisory, Optimising and Follow up levels. The Optimising control Level is further decomposed into three layers operating in different time scales: slow, medium and fast. The paper considers MPC controller operating in medium time scale. As it is impossible to efficiently control the plant under all possible influent conditions, three dedicated control strategies were designed. The controller performance was validated by simulation based on Kartuzy WWTS data records. Recently developed mechanism for soft switching between different MPC control strategies was used in the simulations. © 2004 IFAC.

关键词： Model predictive control

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Protein metal binding residue prediction based on neural networks

引用

11th International Conference on Neural Information Processing, ICONIP 2004

作者： Lin, Chin-Teng Lin, Ken-Li Yang, Chih-Hsien Chung, I-Fang Huang, Chuen-Der Yang, Yuh-Shyong Department of Electrical and Control Engineering Chiao-Tung University HsinChu Taiwan Computer Center Chung-Hua University HsinChu Taiwan Inst. of Medical Science University of Tokyo Tokyo Japan Department of Electrical Engineering HsiuPing Institute of Technology Dali Taichung Taiwan Inst. of Bioinformatics Chiao-Tung University HsinChu Taiwan

ISBN: (纸本)3540239316

It is known that over one-third of protein structures contain metal ions, and they are the necessary elements in life system. Traditionally, structural biologists used to investigate properties of metalloproteins (proteins which bind with metal ions) by physical means and interpret the function formation and reaction mechanism of enzyme by their structures and observation from experiments in vitro. Most of proteins have primary structures (amino acid sequence information) only;however, the 3-dimension structures are not always available. In this paper, a direct analysis method is proposed to predict protein metalbinding amino acid residues only from its sequence information by neural network with sliding window-based feature extraction and biological feature encoding techniques and it can successfully detect 15 binding elements in protein, and 6 binding elements in enzyme. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Metal ions

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Towards new real-time processor: the multioperand MSB-first real-time adder

Towards new real-time processor: the multioperand MSB-first ...

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Euromicro Symposium on Digital System Design

作者： Kuspriyanto Y.Y. Kerlooza Laboratory of Computer and Control System Department of Electrical Engineering Bandung Institute of Technology Indonesia Hardware Laboratory Department of Computer Engineering Indonesian Computer University Indonesia

Arithmetic operation's execution time in real-time system is bounded by deadlines. The method commonly used to meet these deadlines is by employing any suitable process-scheduling algorithm, which may contain a potential weakness. If time needed to operate is longer than its deadline, then the result's quality will be poor. This is mainly caused by the algorithms of the arithmetic operations commonly used nowadays do not choose the most significant data to be processed first. This research tries to design new algorithm and its processing unit that works based on real-time principles, which starts its computation process from the highest valued digit and provides its intermediate-results that can be accessed anytime during the process. Designing tool used in this research is MAX+plus II Baseline 10.2 software. This research accomplishes in showing the performance of the new algorithm and its processing unit, which is better than the performance of the conventional algorithm.

关键词： Real time systems Laboratories Algorithm design and analysis control systems Hardware Digital arithmetic Process design Software tools Timing computer errors

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Stability Analysis for High-Order Dynamic Neural Networks with Time Delays

Stability Analysis for High-Order Dynamic Neural Networks wi...

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IEEE International Conference on Robotics and Biomimetics

作者： Weimin Shen J. Gu Yanjun Shen Department of Electrical and Computer Engineering Dalhousie University Halifax Canada Department of Control Science and Engineering Huazhong University of Science and Technology China

This paper studies the problem of asymptotic stability for a class of high-order dynamic neural networks with time delays. Several useful lemmas are proved in this paper first. After that, the sufficient conditions for the asymptotic stability of the system with constant time delays are introduced, and also this asymptotic stability problem for the system with time-varying delays is put forward. In order to obtain above results, the Lyapunov-Krasovskii stability theory for functional differential equations and the linear matrix inequality (LMI) approach are employed to investigate this kind of problems. Finally, some numerical examples are given to illustrate the advantages of our approach

关键词： Stability analysis Neural networks Delay effects control systems Sufficient conditions Nonlinear control systems Hopfield neural networks Asymptotic stability Linear matrix inequalities Sliding mode control

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Influence of InP cap layer on photo-responsivity of InP/InGaAs PIN detector

Influence of InP cap layer on photo-responsivity of InP/InGa...

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2004 7th International Conference on Solid-State and Integrated Circuits technology Proceedings, ICSICT 2004

作者： Feng, Shiwei Lu, Changzhi Hu, Jun Lu, Yicheng Wynn, James D. Ghosh, Chuni School of Electronic Information and Auto Control Beijing University of Technology Pingleyuan 100 Chaoyang District Beijing 100022 Electrical and Computer Engineering Department Rutgers University Piscataway NJ 08854-8058 Princeton Optronics Inc. Princeton NJ 08543

The InP cap layer plays a significant role towards improving the performance of the InP/InGaAs p-i-n photodiode. However, the measurements and simulation confirm that it also induces wavelength-dependent absorption lo... 详细信息

关键词： Semiconducting indium gallium arsenide

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A new source localization method using heteroscedasticity time series in passive sonar

A new source localization method using heteroscedasticity ti...

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OCEANS

作者： H. Amiri H. Amindavar M. Kamarei Control Research Department Engineering Research Institute Ministry of Agriculture Netherlands Department of Electrical Engineering Amirkabir University of Technology Spain Department of Electrical and Computer Engineering University of Tehran Iran

In this paper we propose a new source localization method using underwater ambient noise modeling based on heteroscedasticity time series in array signal processing for a passive SONAR. In this application, measurement of ambient noise in natural environment shows that noise can sometimes be significantly nonGaussian. Besides in many applications, such as those sensors having nonideal hardware, involving sparse hydrophones with prevailing external noise, the assumed noise model may be simplified by different sensors noise variances. Generalized Autoregressive Conditional Heteroscedasticity (GARCH) time series are feasible for heavy tailed probability density function (PDF) (as excess kurtosis) and time varying variances (a type of heteroscedasticity) of stochastic process. We use GARCH noise model in the Maximum Likelihood Approach for the estimation of Direction-Of-Arrivals (DOAs) of impinging sources. Through simulation, we show that the GARCH modeling is suitable for high-resolution source localization and noise suppression in an underwater environment.

关键词： Working environment noise Sonar measurements Array signal processing Noise measurement Hardware Sonar equipment Probability density function Stochastic processes Maximum likelihood estimation Direction of arrival estimation

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A multi-paradigm modeling approach for hybrid dynamic systems

A multi-paradigm modeling approach for hybrid dynamic system...

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IEEE International Symposium on computer Aided control System Design (CACSD)

作者： Jin-Shyan Lee Meng-Chu Zhou Pau-Lo Hsu Department of Electrical & Control Engineering National Chiao Tung University Hsinchu Taiwan Department of Electrical & Computer Engineering New Jersey Institute of Technology Newark NJ USA

In the past years, modeling and simulation of hybrid dynamic systems (HDS) have attracted much attention. However, since simultaneously dealing with the discrete and continuous variables is very difficult, most of the models result in a unified, but more complicated and unnatural format. Moreover, design engineers cannot be allowed to use their preferred domain models. Based on the multi-paradigm modeling (MPaM) concept, this paper proposed a Petri net (PN) framework with associated state equations to model the HDS. In the presented approach, modeling schemes of the hybrid systems are separated, but combined in a hierarchical way through specified interfaces. Designers can still work in their familiar domain-specific modeling paradigms and the heterogeneity is hidden when composing large systems. An application to a rapid thermal process (RTP) in semiconductor manufacturing is provided to demonstrate the practicability of the developed approach

关键词： Mathematical model Petri nets Design engineering Automata Discrete event simulation Discrete event systems Unified modeling language Motion control control engineering Computational modeling

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