Log in

Relevant bibliographies by topics / Predictive schemes / Journal articles

To see the other types of publications on this topic, follow the link: Predictive schemes.

Journal articles on the topic 'Predictive schemes'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Predictive schemes.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Peng, Jingyao, and Ming Yao. "Overview of Predictive Control Technology for Permanent Magnet Synchronous Motor Systems." Applied Sciences 13, no. 10 (2023): 6255. http://dx.doi.org/10.3390/app13106255.

Full text

Abstract:

Permanent magnet synchronous motors (PMSMs) are commonly used in the automation industry. With the speedy development of digital system processors, predictive control as a modern control scheme has been applied to improve the dynamic performance and work efficiency of PMSMs. This paper provides an overview of the research status of PMSM-based predictive control strategies. The deficiencies of the three most popular predictive schemes, deadbeat predictive control, finite-control-set model predictive control, and continuous-control-set model predictive control, and existing improvement strategie

APA, Harvard, Vancouver, ISO, and other styles

2

Haj Ahmad, Hanan. "Best Prediction Method for Progressive Type-II Censored Samples under New Pareto Model with Applications." Journal of Mathematics 2021 (July 15, 2021): 1–11. http://dx.doi.org/10.1155/2021/1355990.

Full text

Abstract:

This paper describes two prediction methods for predicting the non-observed (censored) units under progressive Type-II censored samples. The lifetimes under consideration are following a new two-parameter Pareto distribution. Furthermore, point and interval estimation of the unknown parameters of the new Pareto model is obtained. Maximum likelihood and Bayesian estimation methods are considered for that purpose. Since Bayes estimators cannot be expressed explicitly, Gibbs and the Markov Chain Monte Carlo techniques are utilized for Bayesian calculation. We use the posterior predictive density

APA, Harvard, Vancouver, ISO, and other styles

3

Emam, M., and M. Gerdts. "Sensitivity updates for linear-quadratic optimization problems in multi-step model predictive control." Journal of Physics: Conference Series 2514, no. 1 (2023): 012008. http://dx.doi.org/10.1088/1742-6596/2514/1/012008.

Full text

Abstract:

Abstract The paper discusses how parametric sensitivity analysis can be used in certain model predictive control (MPC) schemes. The sensitivity analysis will be performed with regard to the initial state measurement and update schemes will be derived that speed-up the computations. Throughout we restrict the discussion to linear-quadratic optimal control problems in discrete time, which frequently arise in tracking tasks with MPC. The derived tools from sensitivity analysis can be embedded into MPC schemes with a prediction step and multi-step MPC schemes with re-optimization and prediction st

APA, Harvard, Vancouver, ISO, and other styles

4

Hu, Yu-Chen. "Predictive Grayscale Image Coding Scheme Using VQ and BTC." Fundamenta Informaticae 78, no. 2 (2007): 239–55. https://doi.org/10.3233/fun-2007-78203.

Full text

Abstract:

A predictive image compression scheme that combines the advantages of vector quantization and moment preserving block truncation coding is introduced in this paper. To exploit the similarities among neighboring image blocks, the block prediction technique is employed in this scheme. If a similar compressed image block can be found in the neighborhood of current processing block, it is taken to encode this block. Otherwise, this image block is encoded either by vector quantization or moment preserving block truncation coding. A bit-rate reduced version of the proposed scheme is also introduced.

APA, Harvard, Vancouver, ISO, and other styles

5

Wu, Yuzhan, Chenlong Li, Changshun Yuan, Meng Li, and Hao Li. "Predictive Control for Small Unmanned Ground Vehicles via a Multi-Dimensional Taylor Network." Applied Sciences 12, no. 2 (2022): 682. http://dx.doi.org/10.3390/app12020682.

Full text

Abstract:

Tracking control of Small Unmanned Ground Vehicles (SUGVs) is easily affected by the nonlinearity and time-varying characteristics. An improved predictive control scheme based on the multi-dimensional Taylor network (MTN) is proposed for tracking control of SUGVs. First, a MTN model is used as a predictive model to construct a SUGV model and back propagation (BP) is taken as its learning algorithm. Second, the predictive control law is designed and the traditional objective function is improved to obtain a predictive objective function with a differential term. The optimal control quantity is

APA, Harvard, Vancouver, ISO, and other styles

6

Alhasheem, Mohammed, Ahmed Abdelhakim, Frede Blaabjerg, Paolo Mattavelli, and Pooya Davari. "Model Predictive Control of Grid Forming Converters with Enhanced Power Quality." Applied Sciences 10, no. 18 (2020): 6390. http://dx.doi.org/10.3390/app10186390.

Full text

Abstract:

This paper proposes an enhanced finite control set model predictive control (FCS-MPC) strategy for voltage source converter (VSC) with a LC output filter. The proposed control scheme is based on tracking the voltage reference trajectory by using only a single-step prediction within the controller horizon. Besides, the suitability of different frequency control schemes with the proposed scheme to prevent from inherent variable switching behaviour of conventional FCS-MPC is investigated. Based on that, the proposed method targets two major factors influencing power quality in grid forming applic

APA, Harvard, Vancouver, ISO, and other styles

7

Babu, K. S., and R. N. Mohapatra. "Predictive schemes for bimaximal neutrino mixings." Physics Letters B 532, no. 1-2 (2002): 77–86. http://dx.doi.org/10.1016/s0370-2693(02)01434-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Yuan, Jie, Dingdou Wen, and Yang Zhang. "Model Predictive Current Control Strategy with Reduced Computation Burden." Mathematical Problems in Engineering 2021 (February 4, 2021): 1–10. http://dx.doi.org/10.1155/2021/6677543.

Full text

Abstract:

In this paper, three model predictive current control (MPCC) schemes for permanent magnet synchronous motors (PMSM) are studied. The first control scheme is the traditional optimal duty cycle model predictive current control (ODC-MPCC). In this scheme, according to the principle of minimizing the cost function, the optimal voltage vector is selected from the six basic voltage vectors which are optimized simultaneously with the duty, and then, the optimal voltage vector and its duty are applied to the inverter. In order to reduce the computational burden of ODC-MPCC, a second control scheme is

APA, Harvard, Vancouver, ISO, and other styles

9

Rabie, Abdalla, Abd EL-Baset A. Ahmad, Mohamad A. Fawzy, and Tahani A. Aloafi. "Bayesian Prediction Intervals Based on Type-I Hybrid Censored Data from the Lomax Distribution under Step-Stress Model." Journal of Mathematics 2022 (December 23, 2022): 1–10. http://dx.doi.org/10.1155/2022/2801582.

Full text

Abstract:

The Bayesian prediction of future failures from Lomax distribution is the subject of this research. The observed data is censored using a Type-I hybrid censoring scheme under a step-stress partially accelerated life test. There are two types of sampling schemes considered: one-sample and two-sample. We create predictive intervals for failure observations in the future. Bayesian prediction intervals are constructed using MCMC algorithms. After all, two numerical examples, simulation study and a real-life example are provided for both one-sample and two-sample methods for the purpose of illustra

APA, Harvard, Vancouver, ISO, and other styles

10

Singh, Amit Kumar, Barjeev Tyagi, and Vishal Kumar. "Classical and Neural Network–Based Approach of Model Predictive Control for Binary Continuous Distillation Column." Chemical Product and Process Modeling 9, no. 1 (2014): 71–87. http://dx.doi.org/10.1515/cppm-2013-0013.

Full text

Abstract:

Abstract The objective of present research work is to develop a neural network–based model predictive control scheme (NN-MPC) for distillation column. To fulfill this objective, an existing laboratory setup of continuous binary-type distillation column (BDC) is used. An equation-based model that uses the fundamental physical and chemical laws along with valid normal assumptions is validated for this experimental setup. Model predictive control (MPC) is one of the main process control techniques explored in the recent past for various chemical engineering applications; therefore, the convention

APA, Harvard, Vancouver, ISO, and other styles

11

Zhang, Shi Jie, and Wu Feng Liu. "Distributed Control of Multi-Agent Systems through Model Predictive Control with Stability." Advanced Materials Research 648 (January 2013): 328–33. http://dx.doi.org/10.4028/www.scientific.net/amr.648.328.

Full text

Abstract:

This paper deals with the distributed model predictive control problem in multi-agent systems under fixed interaction topologies. we propose a distributed model predictive control schemes with guaranteed closed-loop stability. In this distributed structure, the problem is decomposed into a set of distributed optimal control problems. Simulation results show that the proposed scheme is effective under fixed interaction topologies among subsystems.

APA, Harvard, Vancouver, ISO, and other styles

12

Bhatta, Madhav, Lucia Gutierrez, Lorena Cammarota, et al. "Multi-trait Genomic Prediction Model Increased the Predictive Ability for Agronomic and Malting Quality Traits in Barley (Hordeum vulgare L.)." G3: Genes|Genomes|Genetics 10, no. 3 (2020): 1113–24. http://dx.doi.org/10.1534/g3.119.400968.

Full text

Abstract:

Plant breeders regularly evaluate multiple traits across multiple environments, which opens an avenue for using multiple traits in genomic prediction models. We assessed the potential of multi-trait (MT) genomic prediction model through evaluating several strategies of incorporating multiple traits (eight agronomic and malting quality traits) into the prediction models with two cross-validation schemes (CV1, predicting new lines with genotypic information only and CV2, predicting partially phenotyped lines using both genotypic and phenotypic information from correlated traits) in barley. The p

APA, Harvard, Vancouver, ISO, and other styles

13

Ciria, Alejandra, Guido Schillaci, Giovanni Pezzulo, Verena V. Hafner, and Bruno Lara. "Predictive Processing in Cognitive Robotics: A Review." Neural Computation 33, no. 5 (2021): 1402–32. http://dx.doi.org/10.1162/neco_a_01383.

Full text

Abstract:

Abstract Predictive processing has become an influential framework in cognitive sciences. This framework turns the traditional view of perception upside down, claiming that the main flow of information processing is realized in a top-down, hierarchical manner. Furthermore, it aims at unifying perception, cognition, and action as a single inferential process. However, in the related literature, the predictive processing framework and its associated schemes, such as predictive coding, active inference, perceptual inference, and free-energy principle, tend to be used interchangeably. In the field

APA, Harvard, Vancouver, ISO, and other styles

14

Li, Chen-Long, Xiao-Shuang Ma, and Jiao-Jun Zhang. "Nonlinear system predictive control using a multi-dimensional Taylor network." Transactions of the Institute of Measurement and Control 41, no. 12 (2019): 3396–405. http://dx.doi.org/10.1177/0142331219826656.

Full text

Abstract:

A predictive control scheme on the basis of multi-dimensional Taylor network (MTN), named as MTN predictive compensation control, is proposed for single-input single-output nonlinear systems in this paper. We consider the MTN model as a one-step-ahead predictive model and train it by back-propagation (BP) algorithm with a momentum term, and then control the system by the predictive control law. Furthermore, to improve the anti-disturbance performance of the system, another MTN model is considered as the compensator and trained by a recursive least-squares algorithm to counteract the disturbanc

APA, Harvard, Vancouver, ISO, and other styles

15

Deng, Jiamei, Victor Becerra, and Richard Stobart. "Input Constraints Handling in an MPC/Feedback Linearization Scheme." International Journal of Applied Mathematics and Computer Science 19, no. 2 (2009): 219–32. http://dx.doi.org/10.2478/v10006-009-0018-2.

Full text

Abstract:

Input Constraints Handling in an MPC/Feedback Linearization SchemeThe combination of model predictive control based on linear models (MPC) with feedback linearization (FL) has attracted interest for a number of years, giving rise to MPC+FL control schemes. An important advantage of such schemes is that feedback linearizable plants can be controlled with a linear predictive controller with a fixed model. Handling input constraints within such schemes is difficult since simple bound contraints on the input become state dependent because of the nonlinear transformation introduced by feedback line

APA, Harvard, Vancouver, ISO, and other styles

16

Minh, Vu Trieu, and Fakhruldin Bin Mohd Hashim. "Robust Model Predictive Control Schemes for Tracking Setpoints." Journal of Control Science and Engineering 2010 (2010): 1–9. http://dx.doi.org/10.1155/2010/649461.

Full text

Abstract:

This paper briefly reviews the development of nontracking robust model predictive control (RMPC) schemes for uncertain systems using linear matrix inequalities (LMIs) subject to input saturated and softened state constraints. Then we develop two new tracking setpoint RMPC schemes with common Lyapunov function and with zero terminal equality subject to input saturated and softened state constraints. The novel tracking setpoint RMPC schemes are able to stabilize uncertain systems once the output setpoints lead to the violation of the state constraints. The state violation can be regulated by cha

APA, Harvard, Vancouver, ISO, and other styles

17

Fraedrich, K., and L. M. Leslie. "Combining Predictive Schemes in Short-Term Forecasting." Monthly Weather Review 115, no. 8 (1987): 1640–44. http://dx.doi.org/10.1175/1520-0493(1987)115<1640:cpsist>2.0.co;2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Fraedrich, Klaus, and Neville R. Smith. "Combining Predictive Schemes in Long-Range Forecasting." Journal of Climate 2, no. 3 (1989): 291–94. http://dx.doi.org/10.1175/1520-0442(1989)002<0291:cpsilr>2.0.co;2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Ahmad, Bashar I., Chrisminder Hare, Harpreet Singh, et al. "Touchless Selection Schemes for Intelligent Automotive User Interfaces With Predictive Mid-Air Touch." International Journal of Mobile Human Computer Interaction 11, no. 3 (2019): 18–39. http://dx.doi.org/10.4018/ijmhci.2019070102.

Full text

Abstract:

Predictive touch technology aims to improve the usability and performance of in-vehicle displays under the influence of perturbations due to the road and driving conditions. It fundamentally relies on predicting and early in the freehand pointing movement, the interface item the user intends to select, using a novel Bayesian inference framework. This article focusses on evaluating facilitation schemes for selecting the predicted interface component whilst driving, and without physically touching the display, thus touchless. Initially, several viable schemes were identified in a brainstorming s

APA, Harvard, Vancouver, ISO, and other styles

20

Khope, Sarika R., and Susan Elias. "Strategies of Predictive Schemes and Clinical Diagnosis for Prognosis Using MIMIC-III: A Systematic Review." Healthcare 11, no. 5 (2023): 710. http://dx.doi.org/10.3390/healthcare11050710.

Full text

Abstract:

The prime purpose of the proposed study is to construct a novel predictive scheme for assisting in the prognosis of criticality using the MIMIC-III dataset. With the adoption of various analytics and advanced computing in the healthcare system, there is an increasing trend toward developing an effective prognostication mechanism. Predictive-based modeling is the best alternative to work in this direction. This paper discusses various scientific contributions using desk research methodology towards the Medical Information Mart for Intensive Care (MIMIC-III). This open-access dataset is meant to

APA, Harvard, Vancouver, ISO, and other styles

21

Zhao, Hui, Biao Wang, Hong Jun Wang, and You Jun Yue. "A Study on Modified Model Predictive DPC of Rectifiers." Applied Mechanics and Materials 441 (December 2013): 328–31. http://dx.doi.org/10.4028/www.scientific.net/amm.441.328.

Full text

Abstract:

In this paper, we study a modified predictive direct power control scheme (P-DPC).This scheme which based on model predictive control (MPC) uses a discrete rectifier model to infer the predictive direct power control theme again, and selects the operating time of voltage vector and voltage vector to realize fixed switching frequency through setting the minimum power errors of each sampling period. This control scheme has a lower switching frequency compared to MP-DPC; and it is still simple and clear implemented in the stationary reference frame directly, meanwhile, it does not need PI control

APA, Harvard, Vancouver, ISO, and other styles

22

Schmitt, Thomas, Tobias Rodemann, and Jürgen Adamy. "Multi-objective model predictive control for microgrids." at - Automatisierungstechnik 68, no. 8 (2020): 687–702. http://dx.doi.org/10.1515/auto-2020-0031.

Full text

Abstract:

AbstractEconomic model predictive control is applied to a simplified linear microgrid model. Monetary costs and thermal comfort are simultaneously optimized by using Pareto optimal solutions in every time step. The effects of different metrics and normalization schemes for selecting knee points from the Pareto front are investigated. For German industry pricing with nonlinear peak costs, a linear programming trick is applied to reformulate the optimization problem. Thus, together with an efficient weight determination scheme, the Pareto front for a horizon of 48 steps is determined in less tha

APA, Harvard, Vancouver, ISO, and other styles

23

Akhmedyanova, G. F., and A. M. Pishchukhin. "Research of predictive schemes for management of the functioning of organizational and technical systems." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 24, no. 1 (2024): 44–51. http://dx.doi.org/10.14529/ctcr240104.

Full text

Abstract:

Organizational and technical systems are the most common tool for solving national economic problems. However, due to the personnel included in them, they are characterized by stochastic behavior, which raises the issue of developing their probabilistic model. On the other hand, the probabilistic apparatus is a tool for forecasting future phenomena and situations and therefore a mechanism for its use in predictive (forecast) management is needed. For this purpose, the work uses the first probabilistic approximation in the form of a Markov process and its description by the Fokker–Planck–Kolmog

APA, Harvard, Vancouver, ISO, and other styles

24

N., Pegu*1 S. Seth2 S. Ramakrishnan3 A. Jangili4. "Healthcare Predictive Modeling for Identifying Fraud in Medical Insurance Claims." International Journal of Pharmaceutical Sciences 3, no. 2 (2025): 1734–44. https://doi.org/10.5281/zenodo.14899939.

Full text

Abstract:

Fraud detection in healthcare insurance claims is of prime importance to financial stability, operational efficiency, and policyholder trust. Rule-based and hand-crafted manual audit checks, which are traditional fraud detection methods, produce low quality false positives and low response rates to emerging trends in fraud schemes. This work proposes an integrated scheme of XAI-based and machine learning-based fraud detection towards improved accuracy, explainability, and real-time fraud detection capability. The article proposes a comparison of machine learning algorithm-based schemes, i.e.,

APA, Harvard, Vancouver, ISO, and other styles

25

ZHANG, Jiansheng, Gang ZhANG, Yaokui GAO, and Yong HU. "Stair-like Multivariable Generalized Predictive Control of Pulverizing System in Thermal Power Plants." Transactions on Environment and Electrical Engineering 3, no. 1 (2018): 21. http://dx.doi.org/10.22149/teee.v3i1.126.

Full text

Abstract:

Pulverizing system is an important part in the clean and efficient utilization of coal in thermal power plant, and the optimal control of the system is an important way to achieve this goal. This paper presents a stair-like multivariable generalized predictive control scheme for a pulverizing system. This control scheme focuses on the problem of predictive control algorithm in practical application, and integrates the feedforward experience in traditional control schemes of pulverizing system. Simulation results showed that the scheme are able to realize the decoupling control of the pulverizi

APA, Harvard, Vancouver, ISO, and other styles

26

Cheng, Cecilia, Omid V. Ebrahimi, and Jeremy W. Luk. "Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis." Journal of Medical Internet Research 24, no. 1 (2022): e27000. http://dx.doi.org/10.2196/27000.

Full text

Abstract:

Background As social media is a major channel of interpersonal communication in the digital age, social media addiction has emerged as a novel mental health issue that has raised considerable concerns among researchers, health professionals, policy makers, mass media, and the general public. Objective The aim of this study is to examine the prevalence of social media addiction derived from 4 major classification schemes (strict monothetic, strict polythetic, monothetic, and polythetic), with latent profiles embedded in the empirical data adopted as the benchmark for comparison. The extent of m

APA, Harvard, Vancouver, ISO, and other styles

27

Wu, Hongyi, Jinwen Jin, and Zhiwei Li. "NGBoost algorithm-based prediction of mechanical properties of a hot-rolled strip and its interpretability research with ANOVA values." AIMS Mathematics 9, no. 11 (2024): 33000–33022. http://dx.doi.org/10.3934/math.20241578.

Full text

Abstract:

<p>Hot-rolled strip steel is an essential material extensively used in various industrial fields, with its mechanical properties being critical to product quality and engineering design. This article presents a method for predicting the mechanical properties of hot-rolled strip steel using the NGBoost (natural gradient boosting) algorithm. The study focused on predicting tensile strength, yield strength, and elongation of hot-rolled strip steel and compared the predictive results with those obtained from the gradient boosting algorithm, Lasso regression, and decision tree algorithms. The

APA, Harvard, Vancouver, ISO, and other styles

28

Гече, Федір Елемирович, Оксана Юріївна Мулеса, Сандра Федорівна Гече, and Михайло Михайлович Вашкеба. "Development of synthesis method of predictive schemes based on basic predictive models." Technology audit and production reserves 3, no. 2(23) (2015): 36. http://dx.doi.org/10.15587/2312-8372.2015.44932.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Yin, Zhicong, and Huijun Wang. "Seasonal prediction of winter haze days in the north central North China Plain." Atmospheric Chemistry and Physics 16, no. 23 (2016): 14843–52. http://dx.doi.org/10.5194/acp-16-14843-2016.

Full text

Abstract:

Abstract. Recently, the winter (December–February) haze pollution over the north central North China Plain (NCP) has become severe. By treating the year-to-year increment as the predictand, two new statistical schemes were established using the multiple linear regression (MLR) and the generalized additive model (GAM). By analyzing the associated increment of atmospheric circulation, seven leading predictors were selected to predict the upcoming winter haze days over the NCP (WHDNCP). After cross validation, the root mean square error and explained variance of the MLR (GAM) prediction model was

APA, Harvard, Vancouver, ISO, and other styles

30

Alshenawy, R., Hanan Haj Ahmad, and Ali Al-Alwan. "Progressive censoring schemes for marshall-olkin pareto distribution with applications: Estimation and prediction." PLOS ONE 17, no. 7 (2022): e0270750. http://dx.doi.org/10.1371/journal.pone.0270750.

Full text

Abstract:

In this paper two prediction methods are used to predict the non-observed (censored) units under progressive Type-II censored samples. The lifetimes of the units follow Marshall-Olkin Pareto distribution. We observe the posterior predictive density of the non-observed units and construct predictive intervals as well. Furthermore, we provide inference on the unknown parameters of the Marshall-Olkin model, so we observe point and interval estimation by using maximum likelihood and Bayesian estimation methods. Bayes estimation methods are obtained under quadratic loss function. EM algorithm is us

APA, Harvard, Vancouver, ISO, and other styles

31

Mistry, Hitesh B. "Complex versus simple models: ion-channel cardiac toxicity prediction." PeerJ 6 (February 5, 2018): e4352. http://dx.doi.org/10.7717/peerj.4352.

Full text

Abstract:

There is growing interest in applying detailed mathematical models of the heart for ion-channel related cardiac toxicity prediction. However, a debate as to whether such complex models are required exists. Here an assessment in the predictive performance between two established large-scale biophysical cardiac models and a simple linear modelBnetwas conducted. Three ion-channel data-sets were extracted from literature. Each compound was designated a cardiac risk category using two different classification schemes based on information within CredibleMeds. The predictive performance of each model

APA, Harvard, Vancouver, ISO, and other styles

32

VLASYUK, Valentyn. "BUILDING PREDICTIVE ELECTRICITY CONSUMPTION MODELS FOR TRADITIONAL AND SMART GRID POWER SUPPLY SCHEMES FOR IRON ORE MINES." Herald of Khmelnytskyi National University. Technical sciences 217, no. 1 (2023): 48–57. http://dx.doi.org/10.31891/2307-5732-2023-317-1-48-57.

Full text

Abstract:

The paper studies the peculiarities of building predictive models of electricity consumption according to the traditional and considered schemes built on the concept of Smart Grid, as well as the rapidity of changes in the mode of electricity consumption, chaotic вЂ“ avalanche-like and forms a corresponding series of problematic issues. Need to be solved today: first of all вЂ“ systematization of electricity consumption volumes at the iron ore mine. This problem is relevant not only in terms of reducing the irregularity in the amount of electricity consumed by the iron ore mine, but also will

APA, Harvard, Vancouver, ISO, and other styles

33

Shen, Jinglai, Eswar Kumar H. Kammara, and Lili Du. "Fully Distributed Optimization-Based CAV Platooning Control Under Linear Vehicle Dynamics." Transportation Science 56, no. 2 (2022): 381–403. http://dx.doi.org/10.1287/trsc.2021.1100.

Full text

Abstract:

This paper develops distributed optimization-based, platoon-centered connected and autonomous vehicle (CAV) car-following schemes, motivated by the recent interest in CAV platooning technologies. Various distributed optimization or control schemes have been developed for CAV platooning. However, most existing distributed schemes for platoon centered CAV control require either centralized data processing or centralized computation in at least one step of their schemes, referred to as partially distributed schemes. In this paper, we develop fully distributed optimization based, platoon centered

APA, Harvard, Vancouver, ISO, and other styles

34

Cao, Mengbing, Qianying Yi, Kaiying Wang, Jiangong Li, and Xiaoshuai Wang. "Predicting Ventilation Rate in a Naturally Ventilated Dairy Barn in Wind-Forced Conditions Using Machine Learning Techniques." Agriculture 13, no. 4 (2023): 837. http://dx.doi.org/10.3390/agriculture13040837.

Full text

Abstract:

Precise ventilation rate estimation of a naturally ventilated livestock building can benefit the control of the indoor environment. Machine learning has become a useful technique in many research fields and might be applied to ventilation rate prediction. This paper developed a machine-learning model for ventilation rate prediction from batch computational fluid dynamics (CFD) simulation results. By comparing deep neural networks (DNN), support vector regression (SVR), and random forest (RF), the best machine learning algorithm was selected. By comparing the modeling scheme of direct single-ou

APA, Harvard, Vancouver, ISO, and other styles

35

B, Guruprasath, and Nalini R. "Predictive Analytics and Portfolio Optimization: A Study on Mutual Fund Asset Allocation and Risk Mitigation." International Journal of Innovative Research in Engineering and Management 12, no. 1 (2025): 41–46. https://doi.org/10.55524/ijirem.2025.12.1.6.

Full text

Abstract:

This research involves creating an efficient portfolio construction that aims to guide the retail investors about the significance of the data-driven decision-making using the analytical tool Python, especially for financial securities investments with a focus on mutual funds. A dataset comprising necessary information on nearly 625 mutual fund schemes from the dataset obtained from Kaggle has been utilized for analysis and study. The study focuses on applying the modern portfolio theory for portfolio construction proposed by Markowitz, which is a very popular financial theory, in real-world i

APA, Harvard, Vancouver, ISO, and other styles

36

Fazio, Peppino, and Mauro Tropea. "Advanced Resources Reservation in Mobile Cellular Networks: Static vs. Dynamic Approaches under Vehicular Mobility Model." Telecom 2, no. 4 (2021): 302–27. http://dx.doi.org/10.3390/telecom2040020.

Full text

Abstract:

Many studies in literature have shown that the bandwidth of an ongoing flow can dynamically change during multimedia sessions and an efficient bandwidth allocation scheme must be employed. This paper focuses its attention on the management of predictive services in Wireless Infrastructure Dynamic Networks. In particular, two classes of service are considered: NSIS-Mobility Independent Predictive and NSIS-Mobility Dependent Predictive, where NSIS is the Next Steps in Signaling protocol, employed for resources reservation in Integrated Services architectures. A general prediction technique is pr

APA, Harvard, Vancouver, ISO, and other styles

37

Kringlebotn Nygaard, Bjørn Egil, Jón Egill Kristjánsson, and Lasse Makkonen. "Prediction of In-Cloud Icing Conditions at Ground Level Using the WRF Model." Journal of Applied Meteorology and Climatology 50, no. 12 (2011): 2445–59. http://dx.doi.org/10.1175/jamc-d-11-054.1.

Full text

Abstract:

AbstractIn-cloud icing on aircraft and ground structures can be observed every winter in many countries. In extreme cases ice can cause accidents and damage to infrastructure such as power transmission lines, telecommunication towers, wind turbines, ski lifts, and so on. This study investigates the potential for predicting episodes of in-cloud icing at ground level using a state-of-the-art numerical weather prediction model. The Weather Research and Forecasting (WRF) model is applied, with attention paid to the model’s skill to explicitly predict the amount of supercooled cloud liquid water co

APA, Harvard, Vancouver, ISO, and other styles

38

Jiang, Jiyue, Jialu Liu, and Tianfan Yang. "Research on Strategies to Improve the Dynamic Response Capability of Photovoltaic Inverters Based on Model Predictive Systems." Highlights in Science, Engineering and Technology 87 (March 26, 2024): 155–60. http://dx.doi.org/10.54097/zqc4z289.

Full text

Abstract:

While electronic technology has facilitated production and daily life, it has also brought certain issues, with leakage current being one of the most typical problems. Excessive leakage current can damage electrical equipment and even threaten the safety of personnel. Achieving maximum electrical safety has become a research hotspot in recent years. This paper, based on photovoltaic power generation systems, aims to improve the dynamic response capability of photovoltaic inverters through the establishment of predictive systems. The paper first analyzes the working principle and existing probl

APA, Harvard, Vancouver, ISO, and other styles

39

Wenzelburger, Philipp, and Frank Allgöwer. "Model Predictive Control for Flexible Job Shop Scheduling in Industry 4.0." Applied Sciences 11, no. 17 (2021): 8145. http://dx.doi.org/10.3390/app11178145.

Full text

Abstract:

In the context of Industry 4.0, flexible manufacturing systems play an important role. They are designed to provide the possibility to adapt the production process by reacting to changes and enabling customer specific products. The versatility of such manufacturing systems, however, also needs to be exploited by advanced control strategies. To this end, we present a novel scheduling scheme that is able to flexibly react to changes in the manufacturing system by means of Model Predictive Control (MPC). To introduce flexibility from the start, the initial scheduling problem, which is very genera

APA, Harvard, Vancouver, ISO, and other styles

40

Azab, Mohamed. "Comparative Study of BLDC Motor Drives with Different Approaches: FCS-Model Predictive Control and Hysteresis Current Control." World Electric Vehicle Journal 13, no. 7 (2022): 112. http://dx.doi.org/10.3390/wevj13070112.

Full text

Abstract:

The control techniques of the brushless DC (BLDC) motor have gained a large amount of interest in recent years, with their use being implemented in order to achieve a high-performance drive, including quick transient response and high-quality waveforms at the steady state. This paper provides a comparative study between three control schemes of BLDC motors: the direct power control scheme using a finite control set model predictive control (FCS-MPC) approach, the stator current controlled scheme using an FCS-MPC approach, and the stator current controlled scheme using ON–OFF hysteresis current

APA, Harvard, Vancouver, ISO, and other styles

41

Nguyen, Minh Hoang, Sangshin Kwak, and Seungdeog Choi. "Comparisons of Loss Reduction Techniques Based on Pulsewidth Modulation and Model Predictive Control for Three-Phase Voltage Source Inverters." Machines 11, no. 8 (2023): 829. http://dx.doi.org/10.3390/machines11080829.

Full text

Abstract:

Due to the lack of comparative studies between discontinuous pulse-width modulation and model predictive control methods for reducing switching losses in two-level three-phase voltage source inverter, a comparative analysis of a generalized discontinuous pulse-width modulation and two model predictive control approaches for reducing switching losses is studied in this paper. Both generalized discontinuous pulse-width modulation and two model predictive control approaches are described and conducted in the simulation and experiment. The output performance is obtained by these methods after cond

APA, Harvard, Vancouver, ISO, and other styles

42

Shi, Jia, and Furong Gao. "HIGHER-ORDER GENERALIZED 2D PREDICTIVE ITERATIVE LEARNING CONTROL SCHEMES." IFAC Proceedings Volumes 40, no. 5 (2007): 243–48. http://dx.doi.org/10.3182/20070606-3-mx-2915.00088.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Gales, M. J. F. "Predictive model-based compensation schemes for robust speech recognition." Speech Communication 25, no. 1-3 (1998): 49–74. http://dx.doi.org/10.1016/s0167-6393(98)00029-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Ferrara, Antonella, Simona Sacone, and Silvia Siri. "Event-triggered model predictive schemes for freeway traffic control." Transportation Research Part C: Emerging Technologies 58 (September 2015): 554–67. http://dx.doi.org/10.1016/j.trc.2015.01.020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Frasch, Janick V., Leonard Wirsching, Sebastian Sager, and Hans Georg Bock. "Mixed–-Level Iteration Schemes for Nonlinear Model Predictive Control." IFAC Proceedings Volumes 45, no. 17 (2012): 138–44. http://dx.doi.org/10.3182/20120823-5-nl-3013.00085.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Gornova, G. V. "CONCEPTUAL SCHEMES OF INTERPRETATION OF VALUE CHOICE." Review of Omsk State Pedagogical University. Humanitarian research, no. 36 (2022): 19–24. http://dx.doi.org/10.36809/2309-9380-2022-36-19-24.

Full text

Abstract:

The article examines the value choice, analyses the social and cultural factors influencing the choice. The purpose of the article is to distinguish the main theoretical provisions of general and particular concepts that interpret values, value orientations of an individual, society and culture, fixing explicit and implicit grounds for value choice, which in general constitutes a conceptual scheme for interpreting value choice in a particular theory. Conceptual schemes make it possible to build explanatory and predictive models for making choices in a stationary and crisis state of society, an

APA, Harvard, Vancouver, ISO, and other styles

47

Zheng, Zewei, Keyu Yan, Shuaixian Yu, Bing Zhu, and Ming Zhu. "Path following control for a stratospheric airship with actuator saturation." Transactions of the Institute of Measurement and Control 39, no. 7 (2016): 987–99. http://dx.doi.org/10.1177/0142331215625770.

Full text

Abstract:

This paper proposes two different path following control schemes for a stratospheric airship with actuator saturation. Each of the control schemes consists of a guidance loop and an attitude control loop. In both schemes, guidance laws are designed according to the line-of-sight guidance-based path following principle. In the first control scheme, a robust H∞ controller without constraints is designed based on the planar model of a stratospheric airship to stabilize path-following errors. The input constraints are then addressed by using a regional [Formula: see text]-based model recovery anti

APA, Harvard, Vancouver, ISO, and other styles

48

Choi, Dae H., Byoung H. Jung, and Dan K. Sung. "Energy-aware path planning of an unmanned aerial vehicle acting as a communication relay for mobile ground nodes." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 3 (2018): 1124–32. http://dx.doi.org/10.1177/0954410017748685.

Full text

Abstract:

We focus on energy-aware path planning of a small unmanned aerial vehicle-based relay which forwards the data received from a stationary remote station to a mobile access point. In order to reduce the communication power required for reliable communication between the unmanned aerial vehicle-based relay and access point, the unmanned aerial vehicle-based relay keeps track of the access point within a maximum allowable horizontal distance at a constant altitude, and thus the communication power of the unmanned aerial vehicle-based relay decreases as the horizontal distance decreases. In order t

APA, Harvard, Vancouver, ISO, and other styles

49

Kuo, Yong-Lin, and Peeraya Pongpanyaporn. "Continuous-Time Nonlinear Model Predictive Tracking Control with Input Constraints Using Feedback Linearization." Applied Sciences 12, no. 10 (2022): 5016. http://dx.doi.org/10.3390/app12105016.

Full text

Abstract:

This paper presents a tracking control scheme for nonlinear systems with input constraints by combining the continuous-time model predictive control and the feedback linearization. Although there are some similar combinations for nonlinear systems presented in literature, their formulations are complex and massive computations are unavoidable. This study aims to simplify the formulations and reduce the computational loads by imposing the Laguerre functions to approximate the control signals. Since the Laguerre functions have the property of orthogonality, the tracking control problem, by apply

APA, Harvard, Vancouver, ISO, and other styles

50

Kaladevi R. "Health Insurance Recommendation System using Optimized Grid Search and Regression Models." Journal of Information Systems Engineering and Management 10, no. 2 (2025): 432–43. https://doi.org/10.52783/jisem.v10i2.2147.

Full text

Abstract:

Introduction: Health insurance schemes help cover medical expenses by distributing financial risk among many individuals. With various insurance options available, choosing the right provider and predicting costs can be challenging. Predictive modeling and machine learning techniques play a important role in analyzing past data, identifying patterns in customer behavior, and supporting informed decision-making for new insurance plans. Objectives: The main aim of this research is to assist individuals in selecting appropriate medical insurance providers and estimating associated costs using pre

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!