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...
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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.
An iterative uncertainty modelling and μ-synthesis method is presented for LTI systems. In many robust control problems with complex dynamical systems, there is no a priori information for designing a nonconservative...
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An iterative uncertainty modelling and μ-synthesis method is presented for LTI systems. In many robust control problems with complex dynamical systems, there is no a priori information for designing a nonconservative and viable representation of the uncertainty. The goal of this paper is to provide a practical numerical method for improving the robust performance of the controlled system by designing an appropriate uncertainty model and a controller. In the proposed iterative algorithm the controller is designed by mu-synthesis and the frequency-dependent norm-bounds of the uncertainties are tuned to minimize the structured singular value with model validation constraints. Since the uncertainty model depends on the quality of the input-output measurements, therefore closed-loop experiments are involved in the iteration in order to improve the set of validation constraints. The efficiency of the method is justified by the simulation example of a vehicle steering problem.
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...
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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.
The paper presents an iterative uncertainty modeling and robust controller synthesis method for linear parameter-varying (LPV) systems in linear fractional transformation (LFT) form. The goal of the method is to impro...
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The paper presents an iterative uncertainty modeling and robust controller synthesis method for linear parameter-varying (LPV) systems in linear fractional transformation (LFT) form. The goal of the method is to improve robust performance by exploiting modeling freedom in the structured uncertainty descriptions while ensuring model consistency with respect to measurement data. The proposed iterative algorithm consists of three steps: robust LPV controller synthesis, tuning of the uncertainty model and performing closed-loop experiments for new validation data.
This paper extends former results about the networked reference tracking control of a pressurizer in a pressurized water nuclear power plant. An L2-gain based method is used in a deterministic framework to compute the...
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This paper extends former results about the networked reference tracking control of a pressurizer in a pressurized water nuclear power plant. An L2-gain based method is used in a deterministic framework to compute the maximum allowable transmit intervals (MATIs) for the actually implemented dynamic inversion based controller that still guarantee the required performance. Furthermore, a stochastic linear quadratic regulator with a state estimator is also designed that can take packet losses into consideration. It is shown through the comparison that both methods are applicable for networked control but the LQ controller combined with a Kalman filter has better output variance properties.
The paper proposes a measure of robust performance based on frequency domain experimental data that allows nonconservative modeling of uncertainty. Given the nominal model of the plant and closed-loop performance spec...
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In this paper, a model predictive controller is developed for controlling the main primary circuit dynamics of pressurized water nuclear power plants during load-change transients. The hybrid model of the plant is suc...
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This paper is devoted to the construction of wavelet-type transforms with the purpose to represent functions belonging to the Hardy-space H 2 . The concept of the affine wavelet-transform defined in the space L 2 is e...
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This paper is devoted to the construction of wavelet-type transforms with the purpose to represent functions belonging to the Hardy-space H 2 . The concept of the affine wavelet-transform defined in the space L 2 is extended to the Hardy space H 2 on the basis of the Blaschke group. A discrete hyperbolic wavelet scheme is also constructed that results in computable forms. The wavelet construction obtained possesses good localization properties with respect to functions in H 2 , hence forms an adequate tool for signal and system identification purposes.
The paper presents an alternative formulation of the interpolation based constrained H∞ control presented originally in [16], [12], [17]. The concept itself has not been changed: by interpolating among unconstrained ...
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