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ATP production optimization in biochemical mass action models with protein turnover

IFAC Proceedings Volumes 2013年第14期46卷 42-47页

作者： Dávid Csercsik Gábor Szederkényi Faculty Information Technology Pázmány Peter Catholic University P.O. Box 278 H-1444 Budapest Hungary Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences H-1518 P.O. Box 63 Budapest Hungary

We introduce a simple approach to account for the ATP consumption and production in the case of mass action models of metabolic pathways including protein turnover. Under some simplifying assumptions, the method makes it possible to characterize the optimal rate of enzyme synthesis if the substrate concentrations and other rate constants are known. Furthermore we demonstrate that the proposed approach is capable of the comparison of the efficiency of different feedback laws in dynamic environment, considering time-varying substrate concentration.

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Model-based fault detection of a nonlinear system using interval type-2 fuzzy systems with non-singleton type-2 fuzzification

Model-based fault detection of a nonlinear system using inte...

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International Conference on control, Instrumentation, and automation

作者： Hossein Monirvaghefi Mahdi Aliyari Shoorehdeli Advanced Process and Automation Control (APAC) group K. N. Toosi university of technology Tehran Iran Department of Mechatronics Engineering K. N. Toosi university of technology Tehran Iran

In this study interval type-2 fuzzy systems with non-singleton type-2 fuzzifire are used for identification and modeling nonlinear systems having noise with changing domain for fault detection purpose. The main idea in this fault detection method is to serve an upper bound and a lower bound as a confidence bound for system output that obtained from the interval type-2 fuzzy system. If we haven't precise information about mean and variance of noise, then non-singleton type-2 fuzzifire is usable. This fuzzifire improves performance of fault detection confidence bound. In the end of this paper a well-known benchmark two-tank system has been used for representing the advantages of proposed fault detection method.

关键词： Fault detection Fuzzy systems Fuzzy sets Uncertainty Noise Fuzzy logic Mathematical model

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A novel trajectory-based active fault-tolerant control: Application to a Wind Turbine system

A novel trajectory-based active fault-tolerant control: Appl...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Tushar Jain Joseph J. Yamé Dominique Sauter Research Group of Process Control and Automation Aalto University AALTO Finland Centre de Recherche en Automatique de Nancy Université de Lorraine Vandoeuvre-lés-Nancy France

In this paper, we present a real-time mechanism to accommodate faults occurring in a Wind Turbine (WT) system. The demonstrated mechanism lies under the taxonomy of Active Fault-tolerant control (FTC) systems, namely the online redesign based approach. In the proposed approach, we do not use any a priori information about the model of the turbine in real-time. In fact, we use online measurements generated by the WT. Based on the given control specifications, and the observed measurement an occurred fault is accommodated by redesigning the controller online such that the WT generates rated power even under faulty conditions. Secondly, no explicit fault diagnosis (FD) module is used in this approach. As a result, issues of model uncertainty, false alarms, etc. associated with an integrated FD and controller reconfiguration approach to FTC systems are not experienced here.

关键词： Real-time systems Mathematical model Wind turbines Fault tolerance Fault tolerant systems Actuators

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On finite-time stability and frequency spectrum analysis of the trajectory-based active fault-tolerant control

On finite-time stability and frequency spectrum analysis of ...

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Conference on control and Fault-Tolerant Systems

作者： Tushar Jain Joseph J. Yame Dominique Sauter Aalto University School of Chemical Technology Research Group of Process Control and Automation Centre de Recherche en Automatique de Nancy CRAN-CNRS UMR 7039 Universite de Lorraine

ISBN: (纸本)9781479928569

The aims of this paper are two folds. First, we aim to gain some insights at the time Trajectory-based Active Fault-Tolerant control (TAFTC) using the frequency spectrum analysis. Secondly, we introduce the concept of finite-time stability (FTS) in the context of AFTC systems. Generally, in TAFTC strategy, the desired specifications are defined in terms of time-domain characteristics under the mathematical framework of behavioral system theory. In this novel fault-tolerant mechanism, we do not work in the traditional input/output setting, i.e. the frequency-domain, at the outset. Instead, we use the system time-trajectories. As an extension, we report some results within this TAFTC strategy showing what frequency-domain properties are actually satisfied by the closed loop. The TAFTC scheme is based on the trajectories generated by the system, where no a priori information regarding the plant is known at a run-time. We use time-limited measurements of the system instead of acquiring a mathematical model of the plant and we deal. Consequently, the theory of FTS renders a more practical insight to study the stability of the TAFTC scheme than is provided by the classical stability theory.

关键词： Spectrum Analysis Active fault-tolerant control time stability Fourier transform spectrometry Payment systems Systems Theory stability theory MODEL PLANTS Runtime plants

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Computing dynamically equivalent realizations of biochemical reaction networks with mass conservation

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AIP Conference Proceedings 2013年第1期1558卷 2356-2359页

作者： János Rudan Gábor Szederkényi Katalin M. Hangos Faculty of Information Technology Pázmány Péter Catholic University Práter u. 50/a H-1083 Budapest Hungary Faculty of Information Technology Pázmány Péter Catholic University Práter u. 50/a H-1083 Budapest Hungary and Process Control Research Group Computer and Automation Research Institute Hungarian Academy of Sciences. Hungary Process Control Research Group Computer and Automation Research Institute Hungarian Academy of Sciences. Kende u. 13-17 H-1111 Budapest Hungary and Dept. of Electrical Engineering and Information Systems Faculty of Information Technology Univer Hungary

An algorithm for the computation of mass conservative dynamically equivalent chemical reaction network structures is proposed in this paper. The algorithm is formulated in an optimization-based framework as a mixed-in...

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Two-Degree-of-Freedom Helicopter Closed-loop Identification through a Cascade controller

Two-Degree-of-Freedom Helicopter Closed-loop Identification ...

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7th International Conference on MEMS, NANO and Smart Systems (ICMENS 2011)

作者： Ghalei, Pouya Fatehi, Alireza Arvan, Mohamadreza Advanced Process Automation and Control (APAC) Research Group K.N. Toosi University of Technology Tehran Iran Electrical Engineering Department Malek-Ashtar University of Technology Tehran Iran

ISBN: (纸本)9783037853122

Input-Output data modeling using multi layer perceptron networks (MLP) for a laboratory helicopter is presented in this paper. The behavior of the two degree-of-freedom platform exemplifies a high order unstable, nonlinear system with significant cross-coupling between pitch and yaw directional motions. This paper develops a practical algorithm for identifying nonlinear autoregressive model with exogenous inputs (NARX) and nonlinear output error model (NOE) through closed loop identification. In order to collect input-output identifier pairs, a cascade state feedback (CSF) controller is introduced to stabilize the helicopter and after that the procedure of system identification is proposed. The estimated models can be utilized for nonlinear flight simulation and control and fault detection studies.

关键词： Twin rotor helicopter MLP neural network NARX NOE Cascade State Feedback controller

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Model structure validation of cell signaling pathways using colored petri nets

Model structure validation of cell signaling pathways using ...

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8th International Symposium on advanced control of Chemical processes, ADCHEM 2012

作者： Csercsik, Dvid Hangos, Katalin M. Process Control Research Group Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)9783902823052

In this paper we propose a novel colored timed Petri net modelling approach for model structure validation of cell signaling pathways. The aim is to distinguish between models of different structures based on typically qualitative, roughly detailed measurement data. In this approach, tokens are present all the time at all of the places, and their color corresponds to the actual quantized activation state of the signaling component. The activation states are updated according to the progression of the signal through the signaling network. We demonstrate the results on a signaling network, which describes the interaction of fast (G protein coupled) and slow (β-arrestin coupled) transmission. © 2012 IFAC.

关键词： Cell signaling

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Non-monotonic fuzzy state feedback controller design for discrete Time T-S fuzzy systems

Non-monotonic fuzzy state feedback controller design for dis...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Siavash Fakhimi Derakhshan Alireza Fatehi Mehrad Ghasem Sharabiany Advanced Process Automation and Control (APAC) Research Group K. N. Toosi University of Technology Tehran Iran

In this paper a new approach is proposed to design state feedback controllers for well known T-S fuzzy systems. The used controller structure is in familiar parallel distributed compensation (PDC) format and the Lyapunov candidate is the frequently used common quadratic one. The only difference is the stability theorem used which is a revised version of Lyapunov stability theorem that relaxes monotonic condition. It is shown that the proposed method is less conservative than common quadratic method and piecewise method.

关键词： Lyapunov methods Fuzzy systems Stability analysis Asymptotic stability State feedback Linear matrix inequalities Symmetric matrices

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Model Structure Validation of Cell Signaling Pathways Using Colored Petri nets *

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IFAC Proceedings Volumes 2012年第15期45卷 463-468页

作者： Dvid Csercsik Katalin M. Hangos Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

关键词： Modeling and Identification control Applications in Biological processes

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Assessment of two pressure-velocity coupling strategies for local meshless numerical method

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9th International Conference on Advances in Fluid Mechanics - Advances in Fluid Mechanics IX, AFM 2012

作者： Kosec, G. Vertnik, R. Šarler, B. Jožef Stefan Institute Laboratory for Parallel and Distributed Computing Slovenia University of Nova Gorica Laboratory for Multiphase Processes Slovenia Štore steel d.o.o. Research Slovenia Centre of Excellence for Biosensors Automation and Process Control Laboratory for Advanced Materials Systems Slovenia

ISBN: (纸本)9781845646004

The performance of two pressure-velocity coupling strategies, associated with the primitive variable solution of incompressible Newtonian fluid with the meshless Local Radial Basis Function Collocation Method (LRBFCM), is compared with respect to computational efficiency, stability, accuracy and spatial convergence. The LRBFCM is structured with multiquadrics on five noded support domains. The explicit time stepping is used. The Backward- Facing Step problem (BFS) has been selected as a benchmark problem, previously tackled by several numerical methods. The semi-local fractional step method (FSM) and completely local pressure-velocity couplings (LPVC) are compared. The numerical results are validated against previously published data. The results are represented and compared in terms of a convergence plot of the reattachment position. We show that both approaches provide reasonable results;however, LVPC is less computationally complex and less stable in comparison to FSM. © 2012 WIT Press.

关键词： Computational efficiency

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