A5030290914- Distributed Control Multi-Agent Systems
- Adaptive Control of Nonlinear Systems
- Neural Networks Stability and Synchronization
- Stability and Control of Uncertain Systems
- Mathematical and Theoretical Epidemiology and Ecology Models
- Stability and Controllability of Differential Equations
- Ferroptosis and cancer prognosis
- RNA modifications and cancer
- Adaptive Dynamic Programming Control
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Nonlinear Dynamics and Pattern Formation
- Cancer Immunotherapy and Biomarkers
- UAV Applications and Optimization
- Digital Media Forensic Detection
- Cancer-related molecular mechanisms research
- Advanced Neural Network Applications
- Robotics and Sensor-Based Localization
- Optimization and Search Problems
- Immune cells in cancer
- Network Security and Intrusion Detection
- Elevator Systems and Control
- Smart Grid Security and Resilience
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Advanced Vision and Imaging
Anhui University of Science and Technology
2021-2025
Hubei Normal University
2016-2025
Xinjiang Academy of Animal Science
2025
New Jersey Institute of Technology
2024
NARI Group (China)
2021-2024
Southeast University
2020-2024
Shandong University of Traditional Chinese Medicine
2022-2023
Shanghai Harbour Engineering Design & Research Institute
2021
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
2021
State Key Laboratory of Millimeter Waves
2020
This brief deals with the bipartite output consensus problem for heterogeneous multi-agent systems (MASs) under antagonistic interactions. Two distributed controllers state feedback control and are designed, respectively. By virtue of Lyapunov theory regulation technique, it is proved that MASs can be guaranteed structurally balanced graph. Numerical examples finally provided demonstration validity derived results.
This paper addresses the finite-time and fixed-time bipartite average tracking (BAT) problems in multi-agent systems (MASs) subject to bounded disturbances. A novel non-smooth protocol is first constructed on basis of utilizing control method, which can realize BAT with structurally balanced graph. Then, problem dealt nonlinear algorithm, setting time obtained without depending initial states. By employing Lyapunov stability theory, some sufficient criteria are achieve for MASs Numerical...
Abstract This paper concentrates the distributed formation containment problems for multiple unmanned aerial vehicle (UAV) systems under both fixed directed and switching topologies. The objective is to introduce control into research, where master UAVs should exchange information with each other achieve maintain a desired formation. Then, two different protocols are proposed slave UAVs, respectively. Utilizing algebraic graph theory stability theory, some sufficient conditions derived...
In this article, the time-varying formation (TVF)-containment tracking problem is investigated for linear multiagent systems (MASs), in which input of leader unknown and bounded. A novel kind adaptive discontinuous TVF-containment protocol MAS proposed. Based on Lyapunov stability theory, it shown that under appropriate assumptions leaders can achieve an expected TVF track trajectory leader, while follower agents move into convex hull formed by agents. Furthermore, continuous protocols are...
Predefined the problem of finite-time bipartite containment control for heterogeneous linear multi-agent systems under directed topokogy. By designing a distributed compensator, can be considered as cooperative output regulation. Adaptive protocols are put forward by allocating time-varying coupling weight to each follower. We thereby raise dynamic state feedback combined with adaptive control, which followers driven move convex hull spanned leaders in finite time. Furthermore, employing...
As increasingly prevalent technologies in autonomous driving, surface vehicles (ASVs) have been widely applied to accomplish different practical tasks. However, there exist a few researches that considered both the case of cooperative and antagonistic relationships between vehicles. Therefore, we aim develop an effective approach tackle predefined-time bipartite time-varying formation tracking (BTVFT) problem networked ASVs subject external disturbances this article. Firstly, hierarchical...
ABSTRACT This paper addresses the time‐varying formation tracking (TVFT) problem for surface‐underwater hybrid networked marine systems (HNMSs) amid parametric uncertainties, external disturbances, as well unmodeled hydrodynamics. The system includes multiple autonomous surface vehicles (ASVs) and underwater (AUVs). To tackle this complex issue, a predefined‐time hierarchical control (PTHC) scheme is developed. A distributed estimator algorithm designed each follower to estimate states of...
In this brief, the bipartite output consensus problem is solved for heterogeneous linear multi-agent systems (HL-MASs) with cooperative and antagonistic interactions. A signed graph employed to describe relationships among agents. Firstly, based on regulation approach, a finite time considered MASs various dynamics. Then, fixed protocol further designed under state compensator HL-MASs graph. Finally, two numerical simulations are given prove reasonability of theoretical results.
This brief investigates the fixed-time bipartite consensus (Fix-TBC) problem for Euler-Lagrange (EL) systems with a directed signed communication network, in which both cooperative and competition exist. A distributed estimated-based control protocol is proposed to guarantee fixed time. By virtue of Lyapunov stability nearest neighbor-interactions rules, result indicates that Fix-TBC EL external disturbances can be achieved if coupling gains are suitably designed. Eventually, numerical...
Silicosis is a complex occupational disease without recognized effective treatment. Celastrol, natural product, has shown antioxidant, anti-inflammatory, and anti-fibrotic activities, but the narrow therapeutic window high toxicity severely limit its clinical application. Through structural optimization, we have identified highly efficient low-toxicity celastrol derivative, CEL-07. In this study, systematically investigated potential underlying mechanisms of CEL-07 in silicosis fibrosis. By...
Abstract Objection Investigating the key genes and mechanisms that influence stemness in lung adenocarcinoma. Methods First, consistent clustering analysis was performed on adenocarcinoma patients using scoring to classify them. Subsequently, WGCNA utilized identify modules hub genes. Then, machine learning methods were employed screen within these modules. Lastly, functional of conducted through cell scratch assays, colony formation transwell migration flow cytometry cycle analysis,...