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IEEE Annual Conference on Decision and control

作者： T. Péni Z. Szabó B. Vanek J. Bokor Systems and Control Laboratory of Computer and Automation Research Institute of HAS Budapest 1518 P.O.B. 63. Hungary

ISBN: (纸本)9781467357159;9781467357159

This paper extends the LTI anti-windup compensator scheme proposed in [6] to linear parameter-varying (LPV) systems. Following the MRAW concept, the dynamical part of the compensator is formed by the exact copy of the plant. The design procedure is thus simplified to the construction of a parameter-dependent state feedback, which stabilizes the plant's copy and determines the performance and the domain of applicability of the compensator. To decrease the conservatism, the presented method applies parameter-dependent Lyapunov function and embeds the saturation (dead-zone) in a parameter-dependent sector. The design is formulated as an LMI-based convex optimization problem. The paper also investigates the possibility of eliminating certain free variables in order to reduce the complexity of the synthesis procedure. It is shown that an elimination procedure similar to that in [6] can be carried out, but with LPV systems the reconstruction of the compensator gain is not so straightforward. To overcome the difficulty a novel method is proposed, which is based on a closed formula parameterizing all solutions of the synthesis LMIs. Both of the fully parameterized and the reduced complexity syntheses are presented and their properties are analyzed. The applicability of the methods is demonstrated on a simple LPV plant.

关键词： design process synthesis State feedback Liapunov function Saturated Dead band

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Model recovery anti-windup control for linear discrete time systems with magnitude and rate saturation

Model recovery anti-windup control for linear discrete time ...

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American control Conference

作者： T. Peni B. Kulcsar J. Bokor Systems and Control Laboratory of Control and Automation Research Intitute of HAS Kende 13-17 Budapest Hungary Department of Signals and Systems Chalmers University of Technology SE-412-96 Sweden

ISBN: (纸本)9781457710957

The paper proposes a model recovery anti-windup (MRAW) scheme for linear time-invariant and discrete-time systems under magnitude and rate saturation. The method is a modified, discrete-time counterpart of the algorithm presented in [4]. As it is usual in the MRAW framework the AW compensator contains the exact copy of the plant in order that the ideal (unsaturated) behavior can be preserved in the states. The compensator is a controller that aims to push the plant towards this intended behavior. The design of this control action can be reduced to a construction of a stabilizing state feedback acting on the saturated plant. In [4] this feedback is a linear one, which is designed by convex optimization by enlarging the ellipsoidal approximation of the invariant domain. This paper presents a different, set-theoretic approach, which is based on the precise construction of the maximal control invariant set. The proposed control is a nonlinear one generated by point wise convex optimization.

关键词： discrete time systems control action State feedback EARTHQUAKE MAGNITUDE plants time-invariant Saturated Invariant Linear

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Dynamical modeling and identification of a GnRH neuron

Dynamical modeling and identification of a GnRH neuron

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作者： Csercsik, Dávid Szederkényi, Gábor Hangos, Katalin M. Farkas, Imre Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary Department of Endocrine Neurobiology Institute of Experimental Medicine HAS Budapest Hungary

ISBN: (纸本)9783902661494

GnRH neurons, as key elements of the reproductive neuroendocrine system, have important central regulating role in the dynamics of the hormonal cycle. A Hodgkin-Huxley type neural model is proposed in this paper, that takes into account up-to-date biological literature data related to ion channels. The proposed neuron model is highly nonlinear in parameters and the evaluation of the objective function is computationally flexpensive, therefore the asynchronous parallel pattern search (APPS) procedure has been used for identification. The model with high number of estimated parameters provides a qualitatively good fit of both voltage clamp and current clamp traces. © 2009 IFAC.

关键词： Neurons

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Model synthesis identification a Hodgkin-Huxley-type neuron model 10

Model synthesis identification a Hodgkin-Huxley-type neuron ...

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2009 10th European control Conference, ECC 2009

作者： Csercsik, David Szederkenyi, Gabor Hangos, Katalin M. Farkas, Imre Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary Department of Endocrine Neurobiology Institute of Experimental Medicine HAS Budapest Hungary

ISBN: (纸本)9783952417393

GnRH neurons are key elements of the reproductive neuroendocrine system and play important central regulating role in the dynamics of the hormonal cycle. A conductance-based Hodgkin-Huxley model structure is proposed in this paper in the form of nonlinear ordinary differential equations that is able to take into account up-to-date biological literature data related to ion channels. Measurement data were available for parameter estimation, which are originated from laboratory experiments done in the Institute of Experimental Medicine of the Hungarian Academy of Sciences in the form of whole cell patch-clamp recordings. The proposed neuron model is highly nonlinear in parameters and the evaluation of the objective function is computationally expensive, therefore the asynchronous parallel pattern search (APPS) procedure has been used for identification which is a gradient-free optimization method that can handle linear equality and inequality constraints and has advantageous convergence properties. The model with high number of estimated parameters provides a qualitatively good fit of both voltage clamp and current clamp traces. © 2009 EUCA.

关键词： Parameter estimation

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Design and implementation of an improved and reliable pressurizer controller at the paks NPP

Design and implementation of an improved and reliable pressu...

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7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical systems, SAFEPROCESS'09

作者： Bartha, Tamás Fazekas, Csaba Varga, István Systems and Control Laboratory Computer and Automation Research Institute HAS Kende u. 13-17 H-1111 Budapest Hungary

ISBN: (纸本)9783902661463

This paper presents the design and implementation of a pressure controller for the pressurizer of the primary circuit in the Paks Nuclear Power Plant (NPP) in Hungary. The controlled process is part of a highly safety-critical environment, therefore strict reliability requirements are imposed on both the hardware and the software of the controller. The implemented controller provides robust performance and it has a redundant and distributed architecture in order to meet these demands. The control system includes measurement and control PLCs, a continuous power controller and a special supervisor module. The pressure controller has been implemented and is in use in all the four units of the Paks NPP. © 2009 IFAC.

关键词： Nuclear power plants

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Dynamical Modeling and Identification of a GnRH neuron *

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IFAC Proceedings Volumes 2009年第12期42卷 425-430页

作者： Dávid Csercsik Gábor Szederkényi Katalin M. Hangos Imre Farkas Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute HAS Budapest Hungary Department of Endocrine Neurobiology Institute of Experimental Medicine HAS Budapest Hungary

GnRH neurons, as key elements of the reproductive neuroendocrine system, have important central regulating role in the dynamics of the hormonal cycle. A Hodgkin-Huxley type neural model is proposed in this paper, that takes into account up-to-date biological literature data related to ion channels. The proposed neuron model is highly nonlinear in parameters and the evaluation of the objective function is computationally expensive, therefore the asynchronous parallel pattern search (APPS) procedure has been used for identification. The model with high number of estimated parameters provides a qualitatively good fit of both voltage clamp and current clamp traces.

关键词： Neural dynamics Dynamic modelling Identification Nonlinear systems

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Design and Implementation of an Improved and Reliable Pressurizer controller at the Paks NPP

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IFAC Proceedings Volumes 2009年第8期42卷 1162-1167页

作者： Tamás Bartha Csaba Fazekas István Varga Systems and Control Laboratory Computer and Automation Research Institute HAS Kende u. 13-17 H-1111 Budapest Hungary

关键词： control system design safety-critical nuclear reactors pressure control inverse dynamics control

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Distributed state and unknown input estimation for freeway traffic flow models 10

Distributed state and unknown input estimation for freeway t...

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2009 10th European control Conference, ECC 2009

作者： Luspay, T. Kulcsar, B. Tettamanti, T. Varga, I. Bokor, J. Systems and Control Laboratory Computer and Automation Research Institute HAS Kende u. 13.-17 BudapestH-1111 Hungary Delft Center for System and Control Faculty of Mechanical Maritime and Materials Engineering Technical University of Delft Mekelweg 2 Delft Netherlands Department of Control and Transport Automation Budapest University of Technology and Economics Bertalan L. u. 2 BudapestH-1111 Hungary

ISBN: (纸本)9783952417393

The paper presents a joint state and unmeasured input estimation technique for a special class of nonlinear second order macroscopic traffic model. The freeway traffic system is transformed into a quasi and affine approximate Lin- ear Parameter Varying (LPV) form. Observer design technique is formulated using off-line optimization problem subjected to Linear Matrix Inequality (LMI) conditions, considering uncertain scheduling parameters. Furthermore, locally designed state estimators are interconnected to cover multiple freeway sections. The elaborated method is validated using real traffic measurements. © 2009 EUCA.

关键词： Linear matrix inequalities

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Robust model predictive control of a nuclear power plant pressurizer subsystem

Robust model predictive control of a nuclear power plant pre...

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25th IASTED International Conference on Modelling, Identification, and control, MIC 2006

作者： Péni, T. Varga, I. Szederkényi, G. Bokor, J. Systems and Control Laboratory Computer and Automation Research Institute HAS P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)0889865515

Robust model predictive control of an industrial pressurizer is presented in this paper. The physical model of the pressurizer is based on first engineering principles and the model parameters have been previously identified from measured data. To satisfy the hard constraints on the state variables and the input even in the presence of disturbances, the so-called single policy robust model predictive control method is applied. The maximal admissible level set, the disturbance invariant set and the terminal sets are determined for the system. Simulation results show that the proposed controller satisfies all the requirements and shows good time-domain behavior.

关键词： Nuclear power plants

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Quadratic stability of process systems in generalized Lotka-Volterra form 6

Quadratic stability of process systems in generalized Lotka-...

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6th IFAC Symposium on Nonlinear control systems, NOLCOS 2004

作者： Magyar, A. Szederkényi, G. Hangos, K.M. Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute HAS P.O. Box 63 BudapestH-1518 Hungary Department of Computer Science University of Veszprém Egyetem u. 10 VeszpremH-8200 Hungary

The global and local stability of process systems in generalized Lotka-Volterra form is studied in this paper using entropy-like and quadratic Lyapunov function candidates. The global stability check for LV models is performed by solving an LMI for a diagonal positive semi-definite matrix using singular perturbation technique. It is shown that a quadratic Lyapunov function can also be determined by solving linear matrix inequalities (LMIs). In addition, the quadratic stability neighborhood is convex in the space of the quasi-monomials and can be estimated by computing its comer points using LMIs. Furthermore, it is proved that quadratic stability with a diagonal weighting matrix enables to construct adissipative-Hamiltonian description of the system. The developed methods are illustrated on the model of a continuously stirred tank reactor with a nonlinear reaction system. Copyright © 2004 IFAC.

关键词： Linear matrix inequalities

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