A5058540091- Distributed Control Multi-Agent Systems
- Smart Grid Energy Management
- Neural Networks Stability and Synchronization
- Blockchain Technology Applications and Security
- Advanced Image and Video Retrieval Techniques
- Privacy-Preserving Technologies in Data
- Handwritten Text Recognition Techniques
- Underwater Vehicles and Communication Systems
- Iterative Learning Control Systems
- Advanced Control Systems Optimization
- Image Retrieval and Classification Techniques
- Advanced Authentication Protocols Security
- Energy Efficiency and Management
- Chaos-based Image/Signal Encryption
- Smart Grid Security and Resilience
- Electric Power System Optimization
- Power System Optimization and Stability
- Stochastic Gradient Optimization Techniques
- Distributed and Parallel Computing Systems
- Wireless Communication Security Techniques
- Cryptography and Data Security
- Advanced Control Systems Design
- Building Energy and Comfort Optimization
- Smart Parking Systems Research
- Electric Vehicles and Infrastructure
Shanghai Jiao Tong University
2021-2025
Ministry of Education of the People's Republic of China
2021-2023
Alibaba Group (Cayman Islands)
2023
China Mobile (China)
2011-2022
Pacific Northwest National Laboratory
2019-2022
University of California, Riverside
2017-2018
Twin Cities Orthopedics
2005
University of Minnesota
2005
Multi-agent consensus algorithms have emerged as foundational tools across a spectrum of applications and matrix-weighted ones are capable characterizing cross-dimensional interdependence. Yet, their potential is often shadowed by pressing concern: the privacy agents' initial values, which frequently represent sensitive data or proprietary information. A computationally light privacy-preserving mechanism for average (MAC) proposed in response to concern privacy. In mechanism, states first...
The diversity in length constitutes a significant characteristic of text. Due to the long-tail distribution text lengths, most existing methods for scene recognition (STR) only work well on short or seen-length text, lacking capability recognizing longer performing extrapolation. This is crucial issue, since lengths be recognized are usually not given advance real-world applications, but it has been adequately investigated previous works. Therefore, we propose this paper method called...
A wider selection of step sizes is explored for the distributed subgradient algorithm multigent optimization problems with time-varying and balanced communication topologies. The square summable requirement commonly adopted in literature removed. are only required to be positive, vanishing, nonsummable, which provides possibility better convergence rates. Both unconstrained constrained considered. It proved that agents' estimates reach a consensus converge minimizer global objective function...
A discrete-time distributed algorithm to solve a system of linear equations Ax = b is proposed with M-Fejer mappings. The can find solution from arbitrary initializations at geometric rate when has either unique or multiple solutions. When solution, the convergence proved by analyzing mixed norm homogeneous Then, solutions, through orthogonal decompositions agents' estimates onto row space and null A, relationship between final point also specified. Quantitative upper bounds rates for two...
In recent years, eco-friendly driving or ecodriving technologies are being developed to assist human drivers achieve maximum fuel/energy efficiency in different conditions. Enhanced by V2X wireless communications, connected is expected be very promising reducing transportation-related fossil fuel consumption as well pollutant emissions. Besides, the deployment of electric vehicles (EVs) also has great potential greenhouse gas emissions due use batteries sole energy source. Although research...
The diversity in length constitutes a significant characteristic of text. Due to the long-tail distribution text lengths, most existing methods for scene recognition (STR) only work well on short or seen-length text, lacking capability recognizing longer performing extrapolation. This is crucial issue, since lengths be recognized are usually not given advance real-world applications, but it has been adequately investigated previous works. Therefore, we propose this paper method called...
Dynamic matrix control (DMC) is widely used in intelligent manufacturing. Its performance heavily affected by coupled parameters, e.g., horizons and weighting matrices. However, existing methods only focus on tuning of single type parameter cannot jointly tune them to improve the DMC comprehensively. To bridge gap, we propose a framework parameters based double-loop-optimization jointly. The prediction are tuned outer loop, while matrices error inner loop. An improved genetic algorithm fused...
Linear time-varying (LTV) systems play a key role in many engineering problems, for example, trajectory sensitivity analysis of power systems. Because LTV do not generally have closed-form solutions, estimates their bounds are crucial to analysis. In this paper, with known inputs and unknown but bounded obtained via Grönwall's inequality. The estimated then used quantify the gap between synchronous generators models different scenarios through simulation.
With the economy developing rapidly, Location Based Service (LBS) has attracted more and people's attention. Indoor positioning methods based on WLAN RSS with advantage of low cost are most widely used. In this paper, we propose an improved indoor method received signal strength to obtain better accuracy. We apply selected weighed K nearest neighbor (WSKNN) get a initial point gradient-descent-based location search (GLS) which is combined exhaustive (ELS) achieve result. Experimental results...