A5100462485- Distributed Sensor Networks and Detection Algorithms
- Distributed Control Multi-Agent Systems
- Target Tracking and Data Fusion in Sensor Networks
- Energy Efficient Wireless Sensor Networks
- Adaptive Dynamic Programming Control
- Security in Wireless Sensor Networks
- Guidance and Control Systems
- Advanced Optical Sensing Technologies
- Numerical methods for differential equations
- Gender, Labor, and Family Dynamics
- Bayesian Modeling and Causal Inference
- Adaptive Control of Nonlinear Systems
- Reinforcement Learning in Robotics
- Gender Politics and Representation
- Software Reliability and Analysis Research
- Local Government Finance and Decentralization
- Mathematical and Theoretical Epidemiology and Ecology Models
- Agricultural risk and resilience
- Fault Detection and Control Systems
- Advanced Numerical Methods in Computational Mathematics
- Multi-Criteria Decision Making
- Mobile Ad Hoc Networks
- Risk and Safety Analysis
- Model Reduction and Neural Networks
PLA Rocket Force University of Engineering
2021-2023
Shanghai Electric (China)
2023
PLA Army Engineering University
2019
University of Illinois Chicago
2007-2008
This paper investigates the multi-user power control problem in relay-assisted anti-jamming systems. Because of hierarchical confrontation characteristics between users and jammer, we take incomplete information observation error into consideration formulate an Bayesian three-layer Stackelberg game, which primary act as leaders, relay vice-leaders, jammer acts a follower. Both have ability to sense others' transmission choose optimal realize maximum utility. Based on backward induction...
Using data from 144 village-level governments in India's Tamil Nadu state, we investigate political reservations for women and whether the gender of village government leaders influences provision public goods. A knowledge test presidents a survey about interaction between higher-level officials reveal that female have much lower system than do their male counterparts significantly less contact with officials. Although provide similar amounts some goods, find strong evidence led by woman...
This paper presents a new scheme for the online solution of networked multi-agent pursuit–evasion game based on an adaptive dynamic programming method. As in can form Internet Things (IoT) system, by incorporating relative distance and control energy as performance index, expression policies when agents reach Nash equilibrium is obtained proved minmax principle. By constructing Lyapunov function, capture conditions are discussed. In order to enable each agent obtain policy reaching real...
Purpose The purpose of this paper is to design a simple and accurate a-posteriori Lagrangian-based error estimator developed for the class backward differentiation formula (BDF) algorithms with variable time step size, adaptive time-stepping in BDF demonstrated efficient time-dependent simulations fluid flow heat transfer. Design/methodology/approach Lagrange interpolation polynomial used predict derivative, then primary result obtained by Gauss integral, which applied evaluate local error....
This paper mainly studies the problem of pursuit-evasion game with multiple pursuers and escapers. In order to improve real-time performance algorithm, synchronous optimal adaptive controllers are introduced, online tuning model is constructed realize convergence process neural network parameters. The dynamic programming method applied continuous system problems, proved by establishing a Lyapunov function. Simulation experiments verify feasibility method.
This paper deals with the analysis of distortion introduced in real time reconstruction a spatio-temporally correlated field by sink node. The is measured randomly deployed network heterogeneous sensors and data sent to For sake analysis, we assume that consists multiple clusters consisting two types nodes: cluster head member nodes. Given initial energy capacities for both nodes, determine number nodes needed each type such balanced consumption achieved. available network, set up...
Abstract In this study, a distributed fuzzy filter is proposed for non‐linear state estimation problem on the possibilistic framework. Firstly, instead of Gaussian distribution probability framework, process and observation noises are modelled as random variables with trapezoidal possibility distributions. Secondly, novel square root cubature information filtering (SRFCIF) algorithm to deal noise; variable fusion (FVF) used fusion. Consequently, (DSRFCIF) by embedding SRFCF FVF into...