Nonlinear Model Predictive Controller Design for Identified Nonlinear Parameter Varying Model

In this paper, a novel nonlinear model predictive controller (MPC) is proposed based on an identified nonlinear parameter varying (NPV) model. First, an NPV model scheme is present for process identification, which is featured by its nonlinear hybrid Hammerstein model structure and varying model parameters. The hybrid Hammerstein model combines a normalized static artificial neural network with a linear transfer function to identify general nonlinear systems at each fixed working point. Meanwhile, a model interpolating philosophy is utilized to obtain the global model across the whole operation domain. The NPV model considers both the nonlinearity of transition dynamics due to the variation of the working-point and the nonlinear mapping from the input to the output at fixed working points. Moreover, under the new NPV framework, the control action is computed via a multistep linearization method aimed for nonlinear optimization problems. In the proposed scheme, only low cost tests are needed for system identification and the controller can achieve better output performance than MPC methods based on linear parameter varying (LPV) models. Numerical examples validate the effectiveness of the proposed approach

Влияние докритических деформаций на сдвижение земной поверхности над очистной выработкой

Рассмотрены результаты маркшейдерских измерений горизонтальных смещений реперов наблюдательных станций над очистными выработками шахт Западного Донбасса. Показано, что на значительном удалении от границ мульды имеют место малые деформации, которые в сумме приводят к значительным сдвижениям наблюдаемых точек поверхности. Эти сдвижения достигают 20-30% от максимальных сдвижений в мульде

Toward a direct measurement of the cosmic acceleration: The first observation of HI 21cm absorption line at FAST

In this work, we report the first result from the investgation of Neutral atomic hydrogen(HI) 21cm absorption line in spectrum of PKS1413+135 as a associated type at redshift $z\approx 0.24670041$ observed by FAST using the observing time of 10 minutes for the absorber and the spectral resolution of the raw data was setted to 10 Hz. The full spectral profile is analysed by fitting the absorption line with single Gaussian function as the resolution of 10kHz in 2MHz bandwidth, eventually intending to illustrate the latest cosmic acceleration by the direct measurement of time evolution of the redshift of HI 21cm absorption line with Hubble flow toward a same background Quasar in the time interval of more than a decade or many years as a detectable signal that produced by the accelerated expansion of the Universe in the era of FAST at low redshift space,namely redshift drift $\dot{z}$ or SL effect. The obtained HI gas column density $\rm N_{HI} \approx 2.2867\times 10^{22}/cm^2$ of this DLA system, much equivalent to the originally observed value $\rm N_{HI} \approx 1.3\times 10^{19}\times(T_s/f)/cm^2$ within the uncertainties of the spin temperature of a spiral host galaxy, and the signal to noise ratio SNR highly reaching 57.4357 for the resolution of 10kHz evidently validates the opportunities of the HI 21cm absorption lines of DLA systems to enforce the awareness of the physical motivation of dark energy by the probe of $\rm\dot{z}$ with the enhancement of accuracy in the level of $\sim 10^{-10}$ per decade.Comment: 26 pages,8 figures, 3 tables, submitted to JCA

Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation

Limited transferability hinders the performance of deep learning models when applied to new application scenarios. Recently, Unsupervised Domain Adaptation (UDA) has achieved significant progress in addressing this issue via learning domain-invariant features. However, the performance of existing UDA methods is constrained by the large domain shift and limited target domain data. To alleviate these issues, we propose DomAin-guided Conditional Diffusion Model (DACDM) to generate high-fidelity and diversity samples for the target domain. In the proposed DACDM, by introducing class information, the labels of generated samples can be controlled, and a domain classifier is further introduced in DACDM to guide the generated samples for the target domain. The generated samples help existing UDA methods transfer from the source domain to the target domain more easily, thus improving the transfer performance. Extensive experiments on various benchmarks demonstrate that DACDM brings a large improvement to the performance of existing UDA methods.Comment: Work in progres

How Do Test Takers Interact With Simulation-Based Tasks? A Response-Time Perspective

Many traditional educational assessments use multiple-choice items and constructed-response items to measure fundamental skills. Virtual performance assessments, such as game- or simulation-based assessments, are designed recently in the field of educational measurement to measure more integrated skills through the test takers’ interactive behaviors within an assessment in a virtual environment. This paper presents a systematic timing study based on data collected from a simulation-based task designed recently at Educational Testing Service. The study is intended to understand the response times in complex simulation-based tasks so as to shed light on possible ways of leveraging response time information in designing, assembling, and scoring of simulation-based tasks. To achieve this objective, a series of five analyses were conducted to first understand the statistical properties of the timing data, and then investigate the relationship between the timing patterns and the test takers’ performance on the items/task, demographics, motivation level, personality, and test-taking behaviors through use of different statistical approaches. We found that the five analyses complemented each other and revealed different useful timing aspects of this test-taker sample’s behavioral features in the simulation-based task. The findings were also compared with notable existing results in the literature related to timing data

Nonlinear Dynamics of a PI Hydroturbine Governing System with Double Delays

A PI hydroturbine governing system with saturation and double delays is generated in small perturbation. The nonlinear dynamic behavior of the system is investigated. More precisely, at first, we analyze the stability and Hopf bifurcation of the PI hydroturbine governing system with double delays under the four different cases. Corresponding stability theorem and Hopf bifurcation theorem of the system are obtained at equilibrium points. And then the stability of periodic solution and the direction of the Hopf bifurcation are illustrated by using the normal form method and center manifold theorem. We find out that the stability and direction of the Hopf bifurcation are determined by three parameters. The results have great realistic significance to guarantee the power system frequency stability and improve the stability of the hydropower system. At last, some numerical examples are given to verify the correctness of the theoretical results