Conferences related to Steady-state

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2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)

The conference is the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.


2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)

The conference will provide a forum for discussions and presentations of advancements inknowledge, new methods and technologies relevant to industrial electronics, along with their applications and future developments.


2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2019 IEEE 58th Conference on Decision and Control (CDC)

The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).


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Periodicals related to Steady-state

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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Most published Xplore authors for Steady-state

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Xplore Articles related to Steady-state

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Context-Sensitive Probabilistic Boolean Networks: Steady-State Properties, Reduction, and Steady-State Approximation

IEEE Transactions on Signal Processing, 2010

Context-sensitive probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks and have served as the main model for the application of intervention methods, including optimal control strategies, to favorably effect system dynamics. Since it is believed that the steady-state behavior of a context-sensitive PBN is indicative of the phenotype, it is important to ...


Eyes-closed brain computer interface using modulation of steady-state visually evoked potential and auditory steady-state response

2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), 2017

This paper proposes a binary brain computer interface (BCI) which is independent of eye-gaze and eye-movement. The proposed approach focuses on modulations of steady-state responses in the EEG to flicker (visual stimuli) and amplitude-modulated tone (auditory stimuli) independently. The modulations of the steady-state response could be elicited by performing a mental task under the flicker stimuli and paying attention to ...


Steady state symbolic analysis of buck converter using fourier series

2017 2nd International Conference on Frontiers of Sensors Technologies (ICFST), 2017

Steady state analysis is fundamental to give the first observation in circuit design. Buck converter driven by switching has complexity that the circuit topology changes as switching. In this paper a steady state analysis of buck converter is proposed which allows the exact calculation of steady state response. Proposed method uses Fourier series and a recovery function to express steady ...


New approach to teaching instantaneous powers in steady-state AC circuits

2011 IEEE Global Engineering Education Conference (EDUCON), 2011

By transforming the differential equation to an algebraic equation using complex variables, phasor representation is the most suitable and powerful method for analysis of steady-state single-phase alternating-current (AC) circuits. Although the actual phasor representation leads to a fast solution when computing the amplitude and phase of steady-state AC circuit currents and voltages, active, reactive and apparent powers, it does not ...


Calculating the system steady-state availability as a function of subsystem steady-state availability

IEEE SOUTHEASTCON 2014, 2014

The number of large complex applications requiring highly availability is increasing. A divide an conquer approach is used to construct these types of systems where subsystems are designed and built independently of one another. This practice is very common for large government projects such as the space shuttle, air traffic control system, and most complex military systems. Oftentimes, the manufacturer ...


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Educational Resources on Steady-state

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IEEE-USA E-Books

  • Context-Sensitive Probabilistic Boolean Networks: Steady-State Properties, Reduction, and Steady-State Approximation

    Context-sensitive probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks and have served as the main model for the application of intervention methods, including optimal control strategies, to favorably effect system dynamics. Since it is believed that the steady-state behavior of a context-sensitive PBN is indicative of the phenotype, it is important to study the alternation in the steady-state probability distribution due to any variations in the formulations of the context-sensitive PBNs. Furthermore, the huge computational complexity of the context-sensitive PBN model necessitates generation of size-reduction techniques and approximate methods for calculation of the steady-state probability distribution of context-sensitive PBNs. The goal of this paper is threefold: i) to study the effects of the various definitions of context-sensitive PBNs on the steady-state probability distributions and the downstream control policy design; ii) to propose a reduction technique that maintains the steady-state probability distribution; and iii) to provide an approximation method for calculating the steady-state probability distribution of a context-sensitive PBN.

  • Eyes-closed brain computer interface using modulation of steady-state visually evoked potential and auditory steady-state response

    This paper proposes a binary brain computer interface (BCI) which is independent of eye-gaze and eye-movement. The proposed approach focuses on modulations of steady-state responses in the EEG to flicker (visual stimuli) and amplitude-modulated tone (auditory stimuli) independently. The modulations of the steady-state response could be elicited by performing a mental task under the flicker stimuli and paying attention to a target tone burst, respectively. For the BCI based on the modulation of steady-state visual response, we recruited eighteen normal subjects aged 21-24 with normal or corrected-to-normal vision. A linear discriminant classifier was used to discriminate between task-engaging and relaxed states. Classification performance depended on the subjects, electrode locations, mental tasks and flickering frequencies and the mean classification accuracy reached 78~88 % under the flickering frequency of 10 Hz and 61~88 % under that of 14 Hz across the subjects at the optimal electrode site, respectively. For another BCI based on the auditory steady-state response, the present study exploited a stochastic resonance effect and obtained the mean classification accuracy of 77 % for noise-added condition for the four electrode sites along one of the two lateral hemispheres across nine normal subjects aged 21-24 using a support vector machine. It is feasible to develop the eye gaze- and movement- independent BCI by optimizing the parameters such as stimulation type and electrode sites.

  • Steady state symbolic analysis of buck converter using fourier series

    Steady state analysis is fundamental to give the first observation in circuit design. Buck converter driven by switching has complexity that the circuit topology changes as switching. In this paper a steady state analysis of buck converter is proposed which allows the exact calculation of steady state response. Proposed method uses Fourier series and a recovery function to express steady state output. It calculates infinite series of Fourier series by replacing with recovery function. Comparison between the proposed method and numerical simulation shows that the analysis gives consistent result with steady state of simulation including the non-linear ripple. Our method copes with more complex calculation problems such as average power and root-mean- square power which are most crucial issues in power electronics.

  • New approach to teaching instantaneous powers in steady-state AC circuits

    By transforming the differential equation to an algebraic equation using complex variables, phasor representation is the most suitable and powerful method for analysis of steady-state single-phase alternating-current (AC) circuits. Although the actual phasor representation leads to a fast solution when computing the amplitude and phase of steady-state AC circuit currents and voltages, active, reactive and apparent powers, it does not provide an appropriate way to fully understand and explain the instantaneous power. In this paper, the rotating phasor of current for steady-state single-phase AC circuits is introduced to handle and improve the teaching methodology of instantaneous powers in power undergraduate courses. Terms such as instantaneous active and reactive powers and complex instantaneous apparent power are also defined. Various application examples are provided to assess the pertinence of the proposed teaching approach.

  • Calculating the system steady-state availability as a function of subsystem steady-state availability

    The number of large complex applications requiring highly availability is increasing. A divide an conquer approach is used to construct these types of systems where subsystems are designed and built independently of one another. This practice is very common for large government projects such as the space shuttle, air traffic control system, and most complex military systems. Oftentimes, the manufacturer of the subsystem must show a certain level of steady-state availability has been achieved during the design/build phase of the subsystem. The overall builder of the complex system must integrate the subsystems together to produce the required functionality and also demonstrate that the system steady-state availability meets or exceeds a certain threshold. This estimation of system availability (A<sub>sssys</sub>)is greatly simplified if the known subsystem availability values (A<sub>sssubi</sub>) could be used to calculate system availability. Oftentimes, the subsystem manufacturer does not provide the subsystem failure rate and/or repair rate. Thus, the only the subsystem availability is on hand to assist in the calculation of system level availability. This paper presents a novel technique for calculating A<sub>sssys</sub> as a function of n subsystem availabilities {A<sub>sssub1</sub>, A<sub>sssub2</sub>,...,A<sub>sssubn</sub>}.

  • Evidence of stochastic resonance of auditory steady-state response in electroencephalogram for brain machine interface

    Stochastic resonance is a phenomenon observed in nonlinear systems for which random noise with optimal level amplifies a weakly periodic signal. In some biological systems, stochastic resonance has been found to be utilized to improve signal transmission. Recently stochastic resonance have been evidenced in photic-driven human electroencephalogram (EEG) and demonstrated to improve performance of brain machine interface (BMI) based on steady state visual evoked potentials. The present study is aimed at giving evidence of stochastic resonance behavior in human auditory steady state response (ASSR) in EEG for developing a high-performance auditory BMI available without visual function. Seven healthy subjects aged 21-24 years old with normal hearing ability participated in the experiment in which their EEG responses to sinusoidally modulated tone with modulation frequency of 40 Hz contaminated by random noise were measured over the entire scalp with varying the carrier frequency (500 and 4,000 Hz), sound pressure of the tone (40-60 dB) and the random noise level (0-50 dB). In four subjects, ASSR amplitude showed a bell-shaped fluctuation with a maximum at noise level of 40 or 50 dB following an increase of noise level, hence the stochastic resonance effect may be elicited in the auditory system. Moreover in the four subjects, we investigated the times when ASSR significantly appeared under two conditions of no noise and the optimal noise that maximized ASSR amplitude. With addition of optimal noise, detection time of ASSR was shortened in three subjects, and ASSR was elicited in other subject. Detection time of ASSR at optimal noise was distributed between three and seven seconds across subjects. These results will be necessary in order to design novel ASSR-based BMIs. Further investigation on the stochastic resonance behavior would provide useful observation for development of auditory BMIs with high classification accuracy by improving the signal to noise ratio in the modulation of ASSR associated with user's intent.

  • Probability distribution of steady-state errors and adaptation over networks

    In this work, we derive a near-optimal combination rule for adaptation over networks. To do so, we first establish a useful result pertaining to the steady-state distribution of the estimator of an LMS filter. Specifically, under small step-sizes and some conditions on the data, we show that the steady-state estimator is approximately Gaussian and provide an expression for its covariance matrix. The result is subsequently used to show that the maximum ratio combining rule over networks, which is used to combine the estimators across neighbors within a network, is near optimal in the minimum variance unbiased sense. The result suggests a rule for combining the estimators within neighborhoods that can lead to improved mean-square error performance.

  • Fast Steady-State Field-Circuit Model for SMPM-BLdc Motors Driven From 120° and 180° Quasi-Square Wave Inverters

    A consistent and computationally efficient finite-element model for the simulation of the steady-state operation of surface-mounted permanent magnet brushless dc motors driven from quasi-square wave inverters is presented. The methodology combines the magnetostatic finite-element and the steady-state time-periodic circuit models with time averaging. A weak field-circuit coupling is established through the effective constant current and lumped parameters estimated at various loading conditions. The performance characteristics, determined via the proposed model for two different motors, are comparable with those obtained from the comprehensive time-stepping finite-element model, with the execution time being approximately a hundred times shorter for the former.

  • Steady State Membrane Potential and Sodium Current Changes during High Frequency Electrical Nerve Stimulation

    Nerve injuries found in previous studies need to be explained with appropriate simulation studies. This study employed an axonal model based on the Frankenhaeuser-Huxley (FH) equations to investigate the changes of membrane potentials and sodium currents during high frequency (HF) electrical stimulation. The HF electrical stimulation induced continuously changing high- amplitude membrane responses different from the normal action potentials (APs). The phenomena of steady state depolarization and hyper polarization were observed at relatively low (1 kHz) and high (10 kHz) frequency HF currents respectively, for which overall inward and outward sodium fluxes occurred. Although only inward sodium flux occurred at low amplitude (1 mA) HF current, both inward and outward sodium fluxes were observed at high amplitude (5 mA) HF current. Higher frequencies (10 kHz) of HF currents caused more inward sodium fluxes and had bigger inward-to-outward ratio values. The results suggested the existence of an optimal HF frequency for HF electrical nerve stimulation. Successful verification of this would promote the design of safe HF electrical nerve stimulation protocols.

  • Steady-state analysis of PWM tapped-inductor buck DC-DC converter in CCM

    This paper presents the steady-state analysis of a pulse-width modulated tapped-inductor buck dc-dc converter operating in continuous-conduction mode. The steady-state waveforms are presented. The steady-state voltage gain is derived. The minimum inductance required for converter operation in CCM is derived. The expressions for the power losses in each converter component and hence, the overall efficiency of the converter are determined. The expression to estimate the filter capacitance is presented. A design example of the tapped-inductor buck converter with supply voltage 12 V, output voltage 5 V, and output power 10 W is given. Simulation results are provided to verify the correctness of the theoretical predictions.



Standards related to Steady-state

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IEEE Guide for the Implementation of Inductive Coordination Mitigation Techniques and Application

This Guide offers users assistance in controlling or modifying the inductive environment and the susceptibility of affected wire-line telecommunications facilities in order to operate within acceptable levels of steady-state or surge-induced voltage of the environmental interface (probe wire) defined by IEEE Srd 776. The methodology, application, and evaluation of results for mitigative techniques or devices in general are addressed for ...



Jobs related to Steady-state

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