A5101687440- Stability and Control of Uncertain Systems
- Fault Detection and Control Systems
- Advanced Computational Techniques and Applications
- Market Dynamics and Volatility
- Advanced battery technologies research
- Energy Load and Power Forecasting
- Blockchain Technology Applications and Security
- Toxic Organic Pollutants Impact
- Control Systems and Identification
- Advanced Battery Technologies Research
- Complex Systems and Time Series Analysis
- Child and Adolescent Psychosocial and Emotional Development
- Per- and polyfluoroalkyl substances research
- Stock Market Forecasting Methods
- Grey System Theory Applications
- Target Tracking and Data Fusion in Sensor Networks
- FinTech, Crowdfunding, Digital Finance
- Advanced Neural Network Applications
- Digital Economy and Work Transformation
- Distributed Sensor Networks and Detection Algorithms
- Corporate Finance and Governance
- Video Surveillance and Tracking Methods
- Electric Motor Design and Analysis
- Physical Unclonable Functions (PUFs) and Hardware Security
- Neural Networks and Applications
Chinese Academy of Sciences
2007-2025
Xinjiang Institute of Ecology and Geography
2025
University of Chinese Academy of Sciences
2017-2025
Xinjiang Agricultural University
2025
Northeast Petroleum University
2017-2024
Energy Research Institute
2022-2024
Sun Yat-sen University
2024
Hubei University of Technology
2023-2024
Academy of Mathematics and Systems Science
2020-2024
Henan University of Science and Technology
2021-2024
This study proposes a new, novel crude oil price forecasting method based on online media text mining, with the aim of capturing more immediate market antecedents fluctuations. Specifically, this is an early attempt to apply deep learning techniques forecasting, and extract hidden patterns within news using convolutional neural network (CNN). While news-text sentiment features extracted by CNN model reveal significant relationships change, they need be grouped according their topics in order...
In this paper, we investigate the distributed recursive fault estimation problem for a class of discrete time-varying systems with binary encoding schemes over sensor network. The signal zero second-order difference is taken into account to reflect failures. Since communication bandwidth in practice constrained, are exploited regulate transmission from neighbouring sensors local estimator. addition, due influence channel noises, each bit might change small crossover probability. presence...
In this paper, the set-membership filtering problem is investigated for a class of piecewise linear systems with state constraintsand censored measurements under Round-Robin (RR) protocol. First all, mode system determined by itsstate. The noises consideration satisfy two ellipsoid constraints. According schedule RR protocol, set linearfilters constructed in terms transmitted through shared network. objective paper todesign filter gains such that augmented dynamics satisfies desirable...
Deadbeat predictive current control (DPCC) has been widely used in the field of permanent magnet synchronous motor due to its fast dynamic response, good followability, and a small amount calculation. However, accuracy model depends heavily on parameters. When parameters are mismatched temperature changes magnetic saturation during operation, robustness is greatly reduced. Based above reasons, model-free deadbeat with Luenberger disturbance observer (MFDPCC-LDO) method proposed this article....
Regenerating bone in the oral and maxillofacial region is clinically challenging due to complicated osteogenic environment limitation of existing graft materials. Constructing materials with controlled degradation stable mechanical properties a physiological utmost importance. In this study, we used silk fibroin (SF) polyglycolic acid (PGA) fabricate coaxial PGA-SF fibrous scaffold (PGA-SF-FS) meet demands for grafts. The outer SF exerted excellent activity while protecting PGA from rapid...
This brief is concerned with the set-membership filtering problem for a class of time-varying state-saturated systems mixed time-delays under communication protocol. Under weighted try-once-discard (WTOD) protocol, only sensor node largest measurement difference allowed to access shared network at each transmission instant. The purpose addressed design set filters such that, in simultaneous presence time-delays, state saturation, WTOD protocol and bounded noises, error dynamics confined...
This paper is concerned with the overview of recent progress in filter design, fault estimation and reliable control for networked time-varying systems (NTVSs). Firstly, concepts NTVS, incomplete information, filtering, have been introduced. Secondly, information phenomena are considered include, but not limited to, communication delays, measurement losses, actuator/sensor faults, signal quantizations randomly occurring uncertainties. Subsequently, developments as well some results on...
Abstract In recent years, Bitcoin has received substantial attention as potentially high-earning investment. However, its volatile price movement exhibits great financial risks. Therefore, how to accurately predict and capture changing trends in the market is of importance investors policy makers. empirical works forecasting trading support systems are at an early stage. To fill this void, study proposes a novel data decomposition-based hybrid bidirectional deep-learning model daily change...
Ammopiptanthus nanus, a Tertiary-era endangered plant, is of great scientific value. In this research, we focus on A. nanus population dynamics in an effort to bridge the divide between micro genetic variation and macroscopic ecological pattern distribution. The structure 129 wild specimens from eight populations was analyzed using EST-SSR molecular markers research. Mantel test RDA analysis have been used research investigate factors that influence diversity nanus. Using 15 pairs SSR...
Various species from the genus Calligonum L. are widely used in erosion control Northwest China. Their widespread use and breeding efforts highlight need for conservation of high-quality germplasm resources this genus. To assess genetic diversity, genome junceum was screened, 380,328 SSR loci were identified. After further screening, 17 microsatellite markers identified transferred to 11 other When analyzed together, showed significant discrimination power (PIC = 0.623), we detected that...
Dear Editor, This letter focuses on the protocol-based non-fragile state estimation problem for a class of recurrent neural networks (RNNs). With development communication technology, networked systems have received particular attentions. The system brings advantages such as easy to implement, high flexibility well low cost, and also has disadvantages limited bandwidth network which lead networked-induced phenomena [1], [2]. To alleviate network-induced phenomena, protocols been introduced...