- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Traffic control and management
- Stability and Control of Uncertain Systems
- Autonomous Vehicle Technology and Safety
- Adaptive Control of Nonlinear Systems
- Vehicle Dynamics and Control Systems
- Network Traffic and Congestion Control
- Vehicular Ad Hoc Networks (VANETs)
- Nonlinear Dynamics and Pattern Formation
- Energy Efficient Wireless Sensor Networks
- Traffic Prediction and Management Techniques
- Electric and Hybrid Vehicle Technologies
- Video Surveillance and Tracking Methods
- 2D Materials and Applications
- Vibration and Dynamic Analysis
- Advanced Wireless Network Optimization
- Transportation Planning and Optimization
- Advanced Neural Network Applications
- Control and Dynamics of Mobile Robots
- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Rock Mechanics and Modeling
- Maritime Navigation and Safety
- Maritime Transport Emissions and Efficiency
Xiamen University
2017-2025
University of Electronic Science and Technology of China
2024-2025
China University of Petroleum, East China
2023-2025
Collaborative Innovation Center of Advanced Microstructures
2025
Nanjing University
2025
Chongqing Medical University
2025
Children's Hospital of Chongqing Medical University
2025
Chengdu Women's and Children's Central Hospital
2024-2025
Central South University
2024
Xi'an Polytechnic University
2024
Abstract Low frequency ultrasound (<1 MHz) has been demonstrated to be a promising approach for non-invasive neuro-stimulation. However, the focal width is limited half centimeter scale. Minimizing stimulation region with higher will provide great opportunity expand its application. This study first time examines feasibility of using high (5 achieve neuro-stimulation in brain and verifies anatomical specificity vivo . 1 MHz 5 were evaluated same group mice. Electromyography (EMG)...
Summary In this paper, the distributed H ∞ robust control problem synthesized with transient performance is investigated for a group of autonomous agents governed by uncertain general linear node dynamics. Based on relative information between neighboring and some other agents, state‐feedback observer‐type output‐feedback protocols are designed analyzed, respectively. By using tools from theory, conditions existence controllers solving such established. It shown that can be converted to...
The linear quadratic (LQ) synchronization problem for multiagent systems is solved by developing a distributed algorithm. It the first time in literature to formulate LQ consisting of auxiliary state variables discrete with finite horizon. solution this considered centralized setting leveraging connections an alternating direction method multiplier and then extended setting, which individual agent's control inputs can be computed independently, thereby making scalable. Numerical examples...
This brief proposes a distributed algorithm to solve the optimal consensus control problem of continuous-time multi-agent systems. With definition manifold, utility function optimization is formulated as linear quadratic polynomial which indicates tradeoff between convergence rate and energy cost in finite horizon. Applying alternating direction method multiplier, separated into three subproblems: 1) an input problem; 2) state 3) dual problem, thereby separating communication topology agents...
Intelligent electric vehicles (IEVs) have attracted more and attention benefitting from the characteristics of high degree safety energy efficiency. This paper proposes an adaptive cruise control framework considering regenerative braking to improve efficiency IEVs during car-following process. At first, a coupled nonlinear dynamic model system is constructed, which mainly composed powerful battery, motor, single-speed transmission, hydraulic system. Then, fuzzy sliding mode high-level...
Inorganic nanomaterials such as graphene, black phosphorus, and transition metal dichalcogenides have attracted great interest in developing optoelectronic devices due to their efficient conversion between light electric signals. However, the zero band gap nature, unstable chemical properties, low electron mobility constrained wide applications. Bismuth oxyselenide (Bi2O2Se) is gradually showing research significance field. Here, we develop a bismuth oxyselenide/p-silicon (Bi2O2Se/p-Si)...
Research on loose bolt fault in transmission towers is difficult to detect, and the localization of bolts has always been a challenge field structural health monitoring. This article investigates relationship between modal frequencies shapes at different levels finds that when become loose, order frequency changes consistent with mode shape location loosening. Based this, new method for locating proposed. In identification parameters, an improved variational decomposition used extract...
An accelerated algorithm is proposed in this article for solving the linear quadratic optimal consensus problem of multiagent systems. To optimize response and final state simultaneously, a nonseparable multiobjective optimization with coupled constraints on decision variables formulated. The main difficulty lies nonlinear coupling objectives, which overcome by separating into two independent solvable single-objective subproblems using alternating direction method multipliers. proximal...
As one of the typical applications cyberphysical system (CPS), autonomous vehicles (AVs) are vulnerable to malicious disturbance from cyberattacks while tracking desired path. This article focuses on CPS-based path control problem AVs under cyberattacks. First, nonlinear state and measurement equations established based vehicle dynamics model. Second, improve robustness against cyberattacks, sensor redundancy is introduced. A cyberattack detection method designed by using extended Kalman...
The consensus control of multiagent systems (MASs) over randomly switching communication topologies has drawn increasing attention from researchers, since the mean square or most surely is significant and practical. This manuscript focuses on output problem for heterogeneous MASs with input saturation constraints Markovian topologies. main challenge solving concerned lies in interplay among dynamics, To overcome such a challenge, class distributed adaptive observers first designed all agents...
Broadband photodetectors have attracted much attention due to their multispectral response properties and show great potential in the fields of optical sensing, imaging, communications. Palladium telluride (PdTe2) is highly competitive broadband detection its tunable bandgap nonlinear properties. However, low speed hinders further improvement performance PdTe2-based photodetectors. In this work, we present island-type ZnO@PdTe2 composites on Si as a heterojunction photodetector exhibiting...
Abstract Ultra‐broadband photodetectors (UB‐PDs) are essential in medical applications, public safety monitoring, and various other fields. However, developing UB‐PDs covering multiple bands from ultraviolet to medium infrared remains a challenge due material limitations. Here, mixed‐dimensional heterojunction composed of 2D WS 2 /monodisperse hexagonal stacking (MHS) 3D PdTe particles on Si is proposed, capable detecting light 365 9600 nm. The exceptional performance this photodetector...
Pneumococcal meningitis is a serious infectious disease with high mortality rate and global presence, survivors have different degrees of neurological sequelae as consequence the host response to infection. Progranulin (PGRN) multifunctional autocrine growth factor that also major immunoregulator. We want investigate role for PGRN in vivo vitro. Mouse cell models were established explore protective effect mechanism against pneumococcal meningitis. plays by inhibiting pyroptosis. Pyroptosis...
The organizational resilience of an enterprise is considered a key capability for its survival and long-term development. rapid development the digital economy closely links technology to formation resilience. This paper reviews relevant literature on transformation uses resource-based view theory, dynamic principal-agent theory analysis. We adopt manufacturing enterprises listed in Shanghai Shenzhen Stock Exchanges China from 2015 2022 as sample. It multiple regression analysis conduct...
Mobile social network is a typical where one or more individuals of similar interests commonalities, conversing and connecting with another using the mobile phone. Our works in this paper focus on experimental study for kind support large-scale real call data. The main contributions can be summarized as three-fold: firstly, phone log city has been extracted from carrier China to construct network; secondly, common features traditional networks, such power law distribution small diameter etc,...
In this study, the H ∞ consensus problem of a group linear multi‐agent systems with directed communication graph is addressed. To achieve consensus, new class distributed protocols based only on relative states neighbouring agents proposed. Compared existing protocols, one presented in study focuses solving strongly connected networks. By using tools from algebraic theory and Lyapunov stability analysis, it theoretically shown that closed‐loop topology can be achieved if protocol...
This article presents a Takagi-Sugeno (T-S) fuzzy-based robust H∞ integrated lane-keeping (LKS) and direct yaw moment control (DYC) system to improve the automatic driving performance of unmanned electric vehicles. First, T-S fuzzy lateral model vehicles is constructed, in which cornering stiffness uncertainties, external disturbance, time varying look-ahead distance, longitudinal velocity are considered. Second, an LKS DYC constructed handle time-varying features, parametric overactuated...
In this study, we modified the previously proposed X2CT-GAN to build a 2Dto3D-GAN of spine. This study also incorporated radiologist's perspective in adjustment input signals prove feasibility automatic production three-dimensional (3D) structures spine from simulated bi-planar two-dimensional (2D) X-ray images. Data 1012 computed tomography (CT) studies 984 patients were retrospectively collected. We tested model under different dataset sizes (333, 666, and 1012) with bone signal conditions...