A5101594202- Distributed Control Multi-Agent Systems
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Phytochemistry and Biological Activities
- Privacy-Preserving Technologies in Data
- Adaptive Control of Nonlinear Systems
- Stochastic Gradient Optimization Techniques
- Underwater Vehicles and Communication Systems
- Natural product bioactivities and synthesis
- Cooperative Communication and Network Coding
- Sparse and Compressive Sensing Techniques
- Neural Networks Stability and Synchronization
- Distributed Sensor Networks and Detection Algorithms
- Stability and Control of Uncertain Systems
- Sesquiterpenes and Asteraceae Studies
- Metaheuristic Optimization Algorithms Research
- Control and Dynamics of Mobile Robots
- Mathematical and Theoretical Epidemiology and Ecology Models
- Spectroscopy and Chemometric Analyses
- Control Systems and Identification
- Security in Wireless Sensor Networks
- Underwater Acoustics Research
- Privacy, Security, and Data Protection
- Age of Information Optimization
- Mobile Crowdsensing and Crowdsourcing
Beijing University of Chinese Medicine
2020-2025
KTH Royal Institute of Technology
2022-2025
East China University of Science and Technology
2022-2025
Southeast University
2023-2024
Northeastern University
2008-2024
University of Victoria
2019-2024
Yanshan University
2024
Hainan University
2023
Tashkent State Agrarian University
2023
Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine
2023
The event-triggered control is a promising solution to cyber-physical systems, such as networked multiagent and large-scale intelligent systems. In this paper, we propose an model predictive (MPC) scheme for constrained continuous-time nonlinear systems with bounded disturbances. First, time-varying tightened state constraint computed achieve robust satisfaction, scheduling strategy designed in the framework of dual-mode MPC. Second, sufficient conditions ensuring feasibility closed-loop...
The event-triggered scheduling of network transmissions has found many applications in engineering tasks operated cyber-physical systems for its competitive advantage system resource exploitation. This paper investigates the distributed gradient method large-scale convex constrained problems with consensus protocols. We show that convergence can be ensured provided event-triggering threshold bound is square summable, and stepsize satisfies specific conditions are characterized by Lipschitz...
Federated learning is an emerging decentralized machine scheme that allows multiple data owners to work collaboratively while ensuring privacy. The success of federated depends largely on the participation owners. To sustain and encourage owners' participation, it crucial fairly evaluate quality provided by reward them correspondingly. Shapley value, recently proposed Wang et al. [Federated Learning, 2020], a measure for value under framework satisfies many desired properties valuation....
This paper is concerned with the robust event-triggered model predictive control (MPC) of discrete-time constrained linear systems subject to bounded additive disturbances. We make use interpolation technique construct a feedback policy and tighten original system constraint accordingly fulfill satisfaction. A dynamic event trigger that allows controller solve optimization problem only at triggering time instants developed, where threshold related interpolating coefficient determined via...
Conventional double differential phase-shift keying modulation amplifies the phase noise and performs poorly under time-varying direct-sequence spread-spectrum (DSSS) communication system. Therefore, authors propose an iterative reception for DSSS in underwater acoustic channels. First, bit-interleaved coded with decoding integrated multi-symbol detection is used. Second, this paper uses cross correlation method to estimate track Doppler shift of each symbol. Based on estimates, a dynamic...
The angle at which a droplet impacts determines its shearing and compaction effects on soil, in turn affects the formation properties of physical soil crust. To investigate effect impact crusting, this study considered quantity, quality, velocity proposes an energy-weighted method for calculation equivalent angle. Droplet information was acquired using spraying platform with controllable two-dimensional video disdrometer (2DVD). Six groups (38.10°, 49.43°, 58.77°, 68.88°, 76.81° 84.10°)...
Knee osteoarthritis (KOA) is a chronic degenerative joint disorder characterized by loss of articular cartilage and progressive deterioration, leading to pain functional limitation. Abnormal biomechanics play core role in the onset development KOA. The aim this study was explore whether electroacupuncture (EA) may relieve adjust biomechanical properties extensor-flexor muscles improve abnormal loading, thus alleviating degradation rabbit model Firstly, KOA induced immobilization for 6 weeks....
To address the architecture complexity and ill-posed problems of neural networks when dealing with high-dimensional data, this article presents a Bayesian-learning-based sparse stochastic configuration network (SCN) (BSSCN). The BSSCN inherits basic idea training an SCN in Bayesian framework but replaces common Gaussian distribution Laplace one as prior output weights SCN. Meanwhile, lower bound using two-level hierarchical is adopted based on which approximate posterior property obtained....
This paper studies the distributed event-triggered model predictive control (DMPC) problem of coupled nonlinear systems with constraints. A novel DMPC algorithm is proposed by designing a event-triggering strategy and inventing constraint that restricts discrepancy between each subsystem's assumed predicted states. With designed triggering rule constraint, mutual disturbances caused dynamical coupling are proved to be bounded, Zeno behavior avoided. In addition, suffcient conditions ensuring...
Federated learning has become increasingly popular as it facilitates collaborative training of machine models among multiple clients while preserving their data privacy. In practice, one major challenge for federated is to achieve fairness in collaboration the participating clients, because different clients' contributions a model are usually far from equal due various reasons. Besides, deployed more and important applications, how fairness, that is, ensure trained no discrimination against...
This article addresses the decentralized optimization problem where a group of agents with coupled private objective functions work together to exactly optimize summation local interests. Upon modeling as an equality-constrained centralized one, we leverage linearized augmented Lagrangian method design event-triggered algorithm that only requires light computation at generic time instants and peer-to-peer communication sporadic triggering instants. The for each agent are locally determined...