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Editorial Special issue on approximate dynamic programming and reinforcement learning

控制理论与应用（英文版） 2011年第3期 309-309页

作者： Silvia Ferrari Jagannathan Sarangapani Frank L. Lewis Laboratory for Intelligent Systems and Control(LISC)Department of Mechanical Engineering & Materials Science Box 90300 Duke University Durham NC 27708-0005 Department of Electrical & Computer Engineering University of Missouri-Rolla MO 65401 U.S.A. Automation and Robotics Research Institute The University of Texas at Arlington 7300 Jack Newell Blvd. S Ft. Worth Texas 76118-7115 U.S.A.

We are extremely pleased to present this special issue of the Journal of control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain environments over *** optimizes the sensing objectives accrued over a future time interval with respect to an adaptive control law,conditioned on prior knowledge of the system,its state,and uncertainties.A numerical search over the present value of the control minimizes a Hamilton-Jacobi-Bellman (HJB) equation providing a basis for real-time,approximate optimal control.

关键词： reinforcement learning dynamic programming optimal control effective approach prior knowledge control Theory real-time control law problems special search future ADP basis

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Considering predicted road conditions in vehicle control design using H ∞ method

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IFAC Proceedings Volumes 2010年第7期43卷 396-401页

作者： Balázs Németh Peter Gáspár Department of Control and Transport Automation Budapest University of Technology and Economics Hungary Bertalan L. u. 3 H-1111 Budapest Hungary； Fax: +36-1-4633087； Phone: +36-1-4635574 Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary； Fax: +36-1-4667503； Phone: +36-1-2796171

The paper focuses on the design of a velocity control system which takes into consideration the knowledge of the predicted inclinations of the road along the track of the vehicle. By using this velocity control it is possible to reduce the operations of the actuators, i.e. the powertrain and the brake system. The longitudinal dynamics of the vehicle is formulated in a simplified control-oriented model, which contains the longitudinal control force and disturbances such as aerodynamic force, rolling resistance and road slope. If the inclination of the road surface is assumed to be known, it is considered in the calculation of the velocity tracking or the reference velocity. The design of the velocity tracking system is based on the H ∞ control theory. In order to take into consideration the effects of dynamic disturbances and sensor noises weighting functions of quality performances in the controlled system are designed. The operation of the method is demonstrated through simulation examples in Matlab/Simulink and CarSim environments.

关键词： vehicle dynamics velocity control robust control robust stability and performance automotive control

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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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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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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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Identifiability study of a pressurizer in a pressurized water nuclear power plant 10

Identifiability study of a pressurizer in a pressurized wate...

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2009 10th European control Conference, ECC 2009

作者： Szederkenyi, Gabor Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary

ISBN: (纸本)9783952417393

In this paper, the identifiability of a pressurizer model is investigated. The modeled physical system is located in the primary circuit of a pressurized water nuclear power plant. A simple first principle model for the pressurizer is used for the calculations and it is shown that both the appropriately transformed and the original physical model parameters are structurally identifiable. © 2009 EUCA.

关键词： Nuclear power plants

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LPV-based reconfigurable chassis design 10

LPV-based reconfigurable chassis design

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2009 10th European control Conference, ECC 2009

作者： Gaspar, Peter Szabo, Zoltan Bokor, Jozsef Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Hungary

ISBN: (纸本)9783952417393

This paper presents the application of Linear Parameter Varying (LPV) methods in the design of integrated vehicle control systems, in which active components are used in co-operation. In the control design besides performance specifications and uncertainties, it is possible to take fault information into consideration. By monitoring suitable scheduling parameters in the LPV control, the reconfiguration of the control systems can be achieved, conflict between performance demands can be avoided and faults (loss in effectiveness) can be handled. © 2009 EUCA.

关键词： Design

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control-oriented Qlpv modeling using TP transformation 10

Control-oriented Qlpv modeling using TP transformation

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2009 10th European control Conference, ECC 2009

作者： Szabo, Zoltan Gaspar, Peter Nagy, Szabolcs Baranyi, Peter Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Hungary

ISBN: (纸本)9783952417393

This paper proposes a framework for selecting affinely parametrized qLPV model structures that facilitates solutions to specific control design tasks. The proposed scheme is an iterative process in every step of which a Tensor Product model transformation is applied to generate a finite element convex polytopic representation in order to obtain a quasi Linear Parameter Varying model. Then the LMI feasibility of a robust control objective is verified, which is closely related to the original control task. This step provides a selection criterion that sorts out the suitable models from a finite set of model candidates generated by the TP method. The proposed modeling scheme is simulated through an academic example. © 2009 EUCA.

关键词： Robust control

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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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