A5028570509- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Nonlinear Dynamics and Pattern Formation
- Stability and Control of Uncertain Systems
- stochastic dynamics and bifurcation
- Gene Regulatory Network Analysis
- Advanced Vision and Imaging
- Adaptive Control of Nonlinear Systems
- Smart Grid Security and Resilience
- Fault Detection and Control Systems
- Chaos control and synchronization
- Low-power high-performance VLSI design
- Advanced Memory and Neural Computing
- Mathematical and Theoretical Epidemiology and Ecology Models
- VLSI and FPGA Design Techniques
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
- Robotics and Sensor-Based Localization
- Advanced Control Systems Optimization
- Radio Frequency Integrated Circuit Design
- Robotic Path Planning Algorithms
- Smart Grid Energy Management
- Advanced Multi-Objective Optimization Algorithms
- Microwave Engineering and Waveguides
- Evolutionary Algorithms and Applications
East China University of Science and Technology
2016-2025
Zhejiang Hospital
2023-2025
Shanghai Tenth People's Hospital
2022-2024
Tongji University
2019-2024
Antea Group (France)
2023-2024
China Academy of Engineering Physics
2018-2024
Boston Children's Hospital
2023-2024
Institute of Electrical and Electronics Engineers
2023-2024
Instituto de Microelectrónica de Sevilla
2024
Universidad de Sevilla
2024
ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI, has attracted world-wide attention for its capability of dealing with challenging language understanding and generation tasks in the form conversations. This paper briefly provides overview on history, status quo potential future development helping to provide entry point think about ChatGPT. Specifically, from limited open-accessed resources, we conclude core techniques mainly including large-scale...
In this paper, the distributed synchronization problem of networks agent systems with controllers and nonlinearities subject to Bernoulli switchings is investigated. Controllers adaptive updating laws injected in each vertex depend on state information its neighborhood. Three sets stochastic variables are introduced describe occurrence probabilities controllers, nonlinearities, respectively. By Lyapunov functions method, we show that composed multiple randomly occurring can be achieved mean...
For decreasing communication load and overcoming network constrains, such as the limited bandwidth data loss in multi-agent networks, this paper integrates two control strategies to investigate bounded consensus problem of systems (MASs) with external disturbance on basis an undirected graph, namely, quantized event-triggered control. In existence disturbance, types high-gain laws uniform relative state measurements for MASs are first discussed, respectively. Then, order save resources a...
This paper examines the problem of tracking control networked multi-agent systems with multiple delays and impulsive effects, whose results are applied to mechanical robotic systems. Four kinds effects taken into account: 1) both strengths number nodes injected impulses time dependent; 2) occur according certain probabilities under is varying; 3) varying, whereas takes place probabilities; 4) probabilities. By utilizing comparison principle, criteria established for these different cases a...
This article systematically studies consensus of linear multiagent systems (MASs) on directed graphs through adaptive event-triggered control. It presents innovative state-feedback protocols with novel composite event-triggering conditions. Two specific designs in terms different conditions and laws adaption are first discussed for MASs strongly connected graphs, which then extended to general that contain a spanning tree. Moreover, another protocol is proposed solving leader-follower tracks...
We can now outsource data backups off-site to third-party cloud storage services so as reduce management costs. However, we must provide security guarantees for the outsourced data, which is maintained by third parties. design and implement FADE, a secure overlay system that achieves fine-grained, policy-based access control file assured deletion. It associates files with policies, assuredly deletes make them unrecoverable anyone upon revocations of policies. To achieve such goals, FADE...
In this paper, the consensus problem is studied for a class of multi-agent systems with sampled data and packet losses, where random deterministic losses are considered, respectively. For Bernoulli-distributed white sequence used to describe dropouts among agents in stochastic way. switched system stable unstable subsystems employed model The purpose paper derive criteria, such that linear sampled-data can reach consensus. By means Lyapunov function approach decomposition method, design...
This paper investigates the synchronization problem of coupled switched neural networks (SNNs) with mode-dependent impulsive effects and time delays. The main feature is that can exist not only at instants coinciding mode switching but also when there no system switching. impulses considered here include those suppress or enhance synchronization. Based on analysis techniques comparison principle, exponential criteria are derived for delayed SNNs effects. Finally, simulations provided to...
In this paper, we study the distributed synchronization and pinning of stochastic coupled neural networks via randomly occurring control. Two Bernoulli variables are used to describe occurrences adaptive control updating law according certain probabilities. Both for each vertex in a network depend on state information vertex's neighborhood. By constructing appropriate Lyapunov functions employing analysis techniques, prove that complex can be achieved mean square. Additionally, is compared...
This article focuses on the formation control problem of nonlinear multiagent systems under denial-of-service attacks. The can be preserved by distributed hybrid event-triggering strategies (HETSs). As a balance between periodic and continuous strategies, HETS arranges tradeoff resource utilization communication frequency among agents. Theoretical results are verified using benchmark six miniature quadrotor prototypes.
This paper is devoted to studying the trajectory and state controllability of Boolean control networks (BCNs) with time delay. In contrast BCNs without delay, dynamics delayed are determined by a sequence initial states, named here trajectories. Trajectory means that there exists signal steering system from an desired trajectory, while given state. Here, both will be studied. It should noted in this paper, does not mean tracking or following trajectory. fact it destination length $\mu$ at...
This article presents a secure communication scheme based on the quantized synchronization of master-slave neural networks under an event-triggered strategy. First, dynamic strategy is proposed output feedback, for which feedback controller formed. Second, theoretical criteria are derived to ensure bounded networks. With these criteria, explicit upper bound given error. Sufficient conditions also provided existence controllers. A Chua's circuit chosen illustrate effectiveness our results....
This paper is concerned with the stability problem of randomly switched systems. By using probability analysis method, almost surely globally asymptotical and exponential are investigated for systems semi-Markovian switching, Markovian renewal process switching signals, respectively. Two examples presented to demonstrate effectiveness proposed results, in which an example consensus multiagent nonlinear dynamics taken into account.
In this paper, the predefined-time consensus tracking problem of second-order multiagent systems (MASs) is investigated. A distributed observer presented to estimate error for each follower within predefined time. novel sliding surface constructed ensure system convergence along and a terminal mode protocol overcome singularity achieve leader-following It mathematically proved that followers' states can track leader's trajectory particular, settling time bound directly related tunable...
Self-supervised monocular depth estimation is an attractive solution that does not require hard-to-source la-bels for training. Convolutional neural networks (CNNs) have recently achieved great success in this task. However, their limited receptive field constrains existing network architectures to reason only locally, dampening the effectiveness of self-supervised paradigm. In light recent successes by Vision Transformers (ViTs), we propose MonoViT, a brand-new framework combining global...
Multi-agent systems can solve scientific issues related to complex that are difficult or impossible for a single agent through mutual collaboration and cooperation optimization. In multi-agent system, agents with certain degree of autonomy generate interactions due the correlation coordination, which is manifested as cooperative/competitive behavior. This survey focuses on cooperative optimization cooperative/non-cooperative games. Starting from optimization, studies distributed federated...
Lactylation has been recently identified as a new type of posttranslational modification widely occurring on lysine residues both histone and non-histone proteins. The acetyl transferase p300 is thought to mediate protein lactylation, yet the cellular concentration proposed lactyl-donor, lactyl-coenzyme A about 1,000 times lower than that acetyl-CoA, raising question whether genuine lactyl-transferase. Here, we report Alanyl-tRNA synthetase 1 (AARS1) moonlights bona fide lactyl-transferase...
To provide fault tolerance for cloud storage, recent studies propose to stripe data across multiple vendors. However, if a suffers from permanent failure and loses all its data, then we need repair the lost other surviving clouds preserve redundancy. We present proxy-based system multiple-cloud storage called NCCloud, which aims achieve cost-effective single-cloud failure. NCCloud is built on top of network-coding-based schemes regenerating codes. Specifically, an implementable design...
In this paper, the synchronization problem is investigated for a class of nonlinear delayed dynamical networks with heterogeneous impulsive effects. The intrinsic properties impulses are that strengths inhomogeneous in both time and space domains, i.e., effect each node not only nonidentical from other, but also time-varying at different instants. purpose addressed to derive criteria such that, can be synchronized desired state. By means time-dependent Lyapunov function comparison principle,...