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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The most important issue in designing a data gathering algorithm is how to save energy of sensor nodes while meeting the requirement of application such as sensing are coverage. On the other hand, in the real applicat...
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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...
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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.
A systematic approach to parameter-dependent control synthesis of a candidate High-Speed Supercavitation Vehicle (HSSV) is presented. The aim of the control design is to provide robust reference tracking properties ac...
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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.
The paper introduces the three stages of research and development of distributed generation (DG) in China: 1) stand-alone DG systems;2)Grid-connected DG systems;3) A micro-grid with multi-energy Generators (MGMEG). A ...
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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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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.
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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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 faults that do not affect the plant stability. The method is based on a representation of sensor, actuator and plant faults as parameter changes of the plant model, which is part of the IMC control law. It is proved that the IMC control loop, which is extended by a diagnostic unit, tolerates substantial faults and ensures the nominal loop performance unless the fault changes the structure of the nonlinear plant. These results are illustrated for the air path of a Diesel engine.
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