A5103229040- Reinforcement Learning in Robotics
- Supply Chain and Inventory Management
- Sustainable Supply Chain Management
- HIV Research and Treatment
- Sports Analytics and Performance
- Game Theory and Applications
- Mathematical and Theoretical Epidemiology and Ecology Models
- Neural Networks and Applications
- Experimental Behavioral Economics Studies
- Chaos control and synchronization
- Digital Media and Visual Art
- Artificial Intelligence in Games
- Complex Systems and Time Series Analysis
- Catalytic Processes in Materials Science
- Immune Cell Function and Interaction
- Catalysis for Biomass Conversion
- Stability and Control of Uncertain Systems
- Mathematical Control Systems and Analysis
- Neural Networks Stability and Synchronization
- Aerospace Engineering and Control Systems
- Healthcare Quality and Management
- Chaos-based Image/Signal Encryption
- Layered Double Hydroxides Synthesis and Applications
- Color perception and design
- Structural Analysis and Optimization
Sichuan Agricultural University
2022-2023
Qingdao University
2023
Chinese Academy of Sciences
2020-2022
University of Michigan
2019-2021
Anyang Normal University
2017-2020
Northwestern Polytechnical University
2018-2020
China National Offshore Oil Corporation (China)
2014
Tiangong University
2011
Henan University of Economic and Law
2008
Minjiang University
2005-2007
Allocating resources to defend targets from attack is often complicated by uncertainty about the attacker’s capabilities, objectives, or other underlying characteristics. In a repeated interaction setting, defender can collect data over time reduce this and learn an effective defense. However, clever attacker manipulate mislead defender, influencing learning process toward its own benefit. We investigate strategic deception on part of with private type information, who interacts repeatedly...
With the improvement of social environmental awareness, dual‐channel green product sales mode has been widely used by many manufacturing firms. In this paper, we consider a supply chain where one manufacturer produces and sells it through retail channel its own direct channel. Consumers in two channels have different perceptions energy efficiency level due to purchasing experiences. The evolves over time is characterized as dynamic variable. By developing solving Stackelberg differential...
Deep reinforcement learning (RL) is a powerful method for generating policies in complex environments, and recent breakthroughs game-playing have leveraged deep RL as part of an iterative multiagent search process. We build on such developments present approach that learns progressively better mixed strategies dynamic games imperfect information, through iterated use empirical game-theoretic analysis (EGTA) with policies. apply the to challenging cybersecurity game defined over attack...
The application of 3D digital models to high-throughput plant phenotypic analysis is a research hotspot nowadays. Traditional methods, such as manual measurement and laser scanning, have high costs, multi-view, unsupervised reconstruction methods are still blank in the field crop research. It challenging obtain high-quality surface feature composition for reconstruction. In this paper, we propose wheat point cloud generation method based on SfM MVS using sequential images. Firstly, camera...
1,5-Pentanediol (1,5-PeD) is an important raw material for the preparation of degradable polyesters, polyurethanes and pharmaceutical intermediates. Efficient synthesis 1,5-PeD from biomass-derived furfuryl alcohol (FFA) by hydrogenation a...
The precise identification of postural behavior plays a crucial role in evaluation animal welfare and captive management. Deep learning technology has been widely used automatic recognition wild domestic fauna species. Asian slow loris is group small, nocturnal primates with distinctive locomotion mode, large number individuals were confiscated into settings due to illegal trade, making the species an ideal as model for monitoring. Captive animals may suffer from being housed inappropriate...
Because the evaluation of location performance AUVs with lower bound Cramer-Rao inequality is not intuitive, geometric interpretation method proposed based on ellipse. The Fisher information matrix used to replace inequality. priori and measurement are synthesized into posterior through singular value decomposition. ellipse geometrically represent matrix. area establish function. By analyzing function, optimal formation configurations single-master, dual-master three-master designed....
This paper considers the optimal decisions of pricing and warranty level for substitutable products in a fuzzy supply chain environment, where consumer demands, manufacturing costs, costs are characterized as variables. Expected value manufacturer-leader Stackelberg models two chance-constrained programming models, that is, the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>λ</mml:mi></mml:mrow></mml:math>-optimistic and<mml:math...
Offshore wind power is an important measure to fulfill the electricity demand of coastal city. But some areas such as East Asia, North America and Bay Bengal are usually visited by typhoons or hurricanes. The offshore turbines severely threatened hurricanes in these areas. This paper focuses on failure mechanism turbine tower typhoon means simulation method. Simulation result shows that long cantilever structure a key factor which may lead tower. Based study mentioned above, this propose be...
In this paper, the time series which formed by daily closing price of Shanghai stock composite index and opening Huaxia Bank have been studied. The log-linear detrending (LLD) method is used to treat data, then based on phase space reconstruction, it has proved that studied chaotic behavior drawing diagram, calculating characteristic parameters like correlation dimension largest Lyapunov exponent. Finally, Back Propagation (BP) neural network adopted forecast further data series, satisfying...
This paper deals with the exponential stabilization problem for a class of nonlinear switched systems mixed delays under asynchronous switching. The switching signal controller involves delay, which results in between candidate controllers and subsystems. By constructing parameter‐dependent Lyapunov‐Krasovskii functional average dwell time approach, some sufficient conditions forms linear matrix inequalities are presented to ensure stability system arbitrary signals. In addition, through...
Inventory level has a significant impact on the goodwill of products to customers, which seldom becomes focus previous studies. In this paper, joint dynamic pricing, advertising, and production decision-making problem is investigated, where demand rate depends sales price goodwill. The inventory backlog as well advertisement are considered goodwill-building factors. optimal policies derived by using Pontryagin’s maximum principle. Numerical examples provided demonstrate obtained results,...
The paper investigates mean-square exponential stabilization for a class of nonlinear switched stochastic systems with interval time-varying delay under asynchronous switching. Specifically, the occurs not only in state equation, but also switching signal from controller, which brings difficulty controller design to achieve stabilization. Based on Lyapunov stability theory, new piecewise multi-Lyapunov–Krasovskii functional dependent size time is constructed. By utilizing matrix inequality...
The level of hospital budget management in China is uneven, and there are many problems the process management, such as unscientific preparation, uncontrolled implementation, no performance evaluation completion. This study examined current state China, which highlights significant challenges inadequate control during absence evaluation. These issues compounded by communication gaps between departments, unclear responsibilities, overall inefficiency information integration, resulting...
Considering full Logistic proliferation of CD4+ T-cells and retarded immune response, we analyze a HIV model in this paper. Global asymptotic stability the infection-free equilibrium immune-absent is investigated, Some conditions for Hopf bifurcation around infected to occur are also obtained. Numerical simulating presented illustrate main results, can observe effects rate dynamics system. This results explain complexity state AIDS.
We study the global stability of an HIV-1 model that takes into account Beddington-DeAngelis infection rate and intracellular delay denoting lag between time virus contacts target cell becomes actively infected. By constructing Lyapunov functionals LaSalle invariant principle, we show asymptotic infection-free infected equilibrium. The results imply steady states are always globally asymptotically stable offer guidance for developing new drugs to control HIV-1.