A5101905419- Fault Detection and Control Systems
- Stability and Control of Uncertain Systems
- Advanced Computational Techniques and Applications
- Control Systems and Identification
- Advanced Sensor and Control Systems
- Geoscience and Mining Technology
- Image and Video Quality Assessment
- Technology and Security Systems
- Methane Hydrates and Related Phenomena
- Paleontology and Stratigraphy of Fossils
- Civil and Geotechnical Engineering Research
- Multimedia Communication and Technology
- Geological and Geophysical Studies
- Industrial Technology and Control Systems
- Safety and Risk Management
- Service-Oriented Architecture and Web Services
- Hydrocarbon exploration and reservoir analysis
- Evaluation and Optimization Models
- Target Tracking and Data Fusion in Sensor Networks
- Vehicle emissions and performance
- Air Quality Monitoring and Forecasting
- Korean Peninsula Historical and Political Studies
- Advanced Computing and Algorithms
- Software Reliability and Analysis Research
- Electric Power Systems and Control
Tsinghua University
2022-2024
Shengli Oilfield Central Hospital
2023-2024
Criminal Investigation Police University of China
2024
PetroChina Southwest Oil and Gas Field Company (China)
2020-2023
Oil and Gas Center
2020-2023
Key Laboratory of Nuclear Radiation and Nuclear Energy Technology
2023
Fujian University of Technology
2018-2021
China Electronics Technology Group Corporation
2021
Kansas State University
2016-2020
Beijing University of Posts and Telecommunications
2017-2019
In this paper, we address the problem of computing probability reaching a desired set in subclass stochastic hybrid systems, wherein stochasticity arises from randomness initial distribution continuous states, and probabilistic transitions underlying finite state Markov chain. particular, dynamics is deterministic for each mode hence, there are finitely many successors given state. We exploit property extend partition based abstraction technique developed systems to system setting. prove...
Many estimation algorithms proposed for stochastic hybrid systems (SHS) typically involve a bank of (mode-based) Kalman filter used to estimate the continuous states. The accuracy discrete state knowledge has significant impact on error performance mode-based filter. In this paper, we quantify relationship between mode quality and in terms bias dynamics We also derive sufficient conditions statistical convergence illustrate stable region which high tolerance error. fundamental theoretical...
At present, a large number of inefficient induction motors (IMs) are still being used in various industrial fields, resulting huge waste energy. Obviously, it is expensive to replace all these machines with high-efficiency motors. Therefore, this paper will investigate the method low-cost modification IMs and propose permanent magnetization remanufacturing (PMR) that can make full use original structure IMs. The PMR converts IM’s rotor into magnet (PM) by directly milling slots embedding...
State estimation in Markov jump linear systems has garnered interest for decades with a majority of the proposed strategies relying on mode-based Kalman filters. It been shown that filter is optimal if discrete state known at each time. However, practical applications, there are situations where mode information inaccurate due to communication link failures or cyber-attacks. This letter addresses this issue by quantifying bias resulting from mismatches filter. Specifically, we consider...
Due to difficulties in accurately predicting the emergency timing and magnitude of a disaster, operations for perishable inventory planning often encounter expiration shortage problems. In order ease problem medicine preparation inventories, this paper investigates an closed-loop supply chain returning unused items from ERC (Emergency Reserve Center) hospital. To assure that return strategy is meaningful, we propose critical parameter term latest time, after which remaining cannot be...
In this report, we studied the formation and evolution of Kirkendall voids in Sn-Ag-In solder bumps during 150°C aging for time up to 1000 h its effect on reliability. Sn-Ag bump was also investigated at same condition purpose comparison. It found that were dispersedly formed Cu <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> Sn IMC layer Sn-Ag/Cu system, Sn-Ag-In/Cu mainly appeared (Sn, In)/Cu interface. The shear strength decreased...
Stochastic hybrid systems (SHS) represent a class of dynamical that involve the interaction continuous and discrete dynamics with uncertainty. In SHS, evolution states is described by stochastic differential equation (SDE), are modeled via random process. this paper, our focus on specific type SHS in which state transitions depend dynamics, referred to as guard conditions. Specifically, we develop analyze estimation strategies for conditions quadratic form states. Approximate analytical...
Many physical and engineered systems (e.g., smart grid, autonomous vehicles, robotic systems) that are observed controlled over a communication/cyber infrastructure can be efficiently modeled as stochastic hybrid (SHS). This paper quantifies the bias of mode-based Kalman filter commonly used for state estimation in SHS. The main approach involves modeling dynamics transformed switched system transitions across modes abstracted via arbitrary switching signals. general model effectively...
Abstract The safety requirements for nuclear power plants are very strict, as an accident may lead to radioactive leakage, causing unbearable losses. Therefore, related research in is important. High Temperature Reactor-Pebblebed Modules (HTR-PM) a fourth generation advanced reactor with inherent features. HTR-PM adopts modular reactors, using multiple reactors drive one turbine generation. To achieve multi-module design, has fluid network steam and feedwater. When the feedwater flow rate of...
Although computational capabilities have been substantially enhanced over the last few decades, fast and accurate forward solvers for scattering imaging applications are still attracting much attentions with new advances. To deal of dielectric objects, methods involving integral equations attractive because reduced number unknowns. As a conventional way to solve equations, method moments (MOM) N unknowns takes about O(N <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...