A simple dynamic model of a nuclear reactor with temperature dependent reactivity and six groups of neutron emitting nuclei is developed in this paper based on first engineering principles. The proposed model contains...
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A simple dynamic model of a nuclear reactor with temperature dependent reactivity and six groups of neutron emitting nuclei is developed in this paper based on first engineering principles. The proposed model contains the possible minimal number of differential equations and it is capable of describing important dynamic phenomena such as load change transients between day and night periods. Because the model is nonlinear in its parameters, an optimization-based parameter estimation procedure has been applied by using the Nelder-Mead algorithm and measured data from the Paks Nuclear Power Plant. The estimated parameter values fall into physically meaningful ranges and the response of the constructed reactor model shows a good fit to the measurement data.
The paper proposes a new structure for fault-tolerant control of nonlinear systems subject to persistent faults. The principle of Internal Model control (IMC) is extended to ensure fault tolerance with respect to faul...
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In force controlled industrial robots, haptic and telemanipulation devices stability and control performance are contradicting requirements. In distributed systems where the sensors, actuators and control logic are se...
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In force controlled industrial robots, haptic and telemanipulation devices stability and control performance are contradicting requirements. In distributed systems where the sensors, actuators and control logic are separated in space, due to the network delays the control process may become unstable. In our research, we consider the coupled impedance type control algorithms as common used method in telemanipulation and interaction control of robots. In this paper, an extended TP model transformation is proposed to convert the delayed system into a polytopic tensor product (TP) model considering the value of the feedback delay as a parameter. Using such model, controller design become tractable as it does not contain feedback delay. A numerical example for a single degree of freedom impedance model with feedback delay is discussed. The results are confirmed by simulation.
A new approach to the cross-layer design of wireless networked control systems under limited computing and energy resources is presented. The idea is to provide a methodology that jointly takes the aspects of control ...
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This paper investigates signal and system representations in special rational orthogonal bases of the Hardy space H2. These bases are derived from the Blaschke-group associated to the hyperbolic group SH(n) of matrice...
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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...
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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.
This paper presents the modeling and identification procedure for a VVER-type pressurized water reactor. The modeling goal is to produce a mathematical description in nonlinear state-space form that is suitable for co...
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This paper presents the modeling and identification procedure for a VVER-type pressurized water reactor. The modeling goal is to produce a mathematical description in nonlinear state-space form that is suitable for control-oriented model analysis and preliminary controller design experiments. The proposed model takes temperature effects and xenon poisoning into consideration and thus it is an extension of formerly published simpler model structures. Real transient measurement data from the plant has been used for the identification that is based on standard prediction error minimization. It is shown that the model is fairly well identifiable and the newly inserted model components significantly improve the quality of fit between the measured and computed model outputs. Furthermore, the estimated parameter values fall into physically meaningful ranges.
Bioluminescence tomography (BLT) poses a typical ill-posed inverse problem with a large number of unknowns and a relatively limited number of boundary measurements. It is indispensable to incorporate a priori informat...
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The paper proposes an alternative way to solve robust reference tracking problem. Instead of rejecting the effect of the disturbance directly, an intermediate step is built into the state estimation problem. The advan...
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In this paper a decentralized approach to state estimation of distributed dynamical systems over unreliable communication network subject to uncertain and limited measurements is addressed. Specifically, a distributed...
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