A5068429082- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Asphalt Pavement Performance Evaluation
- Infrastructure Maintenance and Monitoring
- Metal-Organic Frameworks: Synthesis and Applications
- Sparse and Compressive Sensing Techniques
- Smart Grid Security and Resilience
- Smart Grid Energy Management
- Cooperative Communication and Network Coding
- Advanced Memory and Neural Computing
- Covalent Organic Framework Applications
- Microgrid Control and Optimization
- Traffic Prediction and Management Techniques
- Crystallization and Solubility Studies
- Stochastic Gradient Optimization Techniques
- X-ray Diffraction in Crystallography
- Biomedical Ethics and Regulation
- Adaptive Dynamic Programming Control
- Vehicle Routing Optimization Methods
- Advanced Optimization Algorithms Research
- Nonlinear Dynamics and Pattern Formation
- Tissue Engineering and Regenerative Medicine
- Advanced biosensing and bioanalysis techniques
- Energy Efficient Wireless Sensor Networks
- Crystallography and molecular interactions
Southeast University
2015-2025
National Medical Products Administration
2006-2024
Linyi University
2023-2024
State Key Laboratory of Inorganic Synthesis and Preparative Chemistry
2019-2023
Jilin University
2019-2023
Xinyang College of Agriculture and Forestry
2022
Jilin Medical University
2020-2021
RMIT University
2019
John Wiley & Sons (United States)
2018
Smith College
2018
A compound control strategy is proposed for frequency regulation of source-grid-load systems in which power sources, grids, and loads are all participating the process. Here, sources conventional thermal generators, including new energy generations, composed storage units (ESUs) grid-friendly appliances (GFAs). The scheme includes two levels operations, with upper level to be a model predictive (MPC) generators lower distributed leader-following consensus multiple ESUs. For outputs...
This article investigates the finite-time and fixed-time synchronization for memristive neural networks (MNNs) with mixed time-varying delays under adaptive aperiodically intermittent adjustment strategy. Different from previous works, this first employs feedback control to drive MNNs achieve in finite time fixed time. First of all, according theories set-valued mappings differential inclusions, error is derived, its stability problems are discussed by applying Lyapunov function method some...
In this paper, some efficient criteria for finite-time consensus of a class nonsmooth opinion dynamics over digraph are established. The lower and upper bounds on the finite settling time obtained based respectively maximal minimal cut capacity digraph. By using tools theory algebraic graph theory, Carathéodory Filippov solutions analyzed compared in detail. sense solutions, dynamic is demonstrated without leader bipartite also investigated signed correspondingly. To achieve predetermined...
Ionic metal–organic frameworks (MOFs) with an ionic skeleton and unique porous structures could selectively adsorb charged dyes specific dimensions. However, the ion-exchange-based size-exclusion-based process as a chromatography method needs to be further explored. In this study, new microporous anionic MOF, JUC-210, was synthesized using spirobifluorene-based ligand trivalent metal indium. JUC-210 has two-fold interpenetrated pts framework large void space, possessing suitable pore sizes...
In this paper, we study a special class of distributed convex optimization problems-distributed parametric consensus problem (DPCOP), for which two-stage method including primal decomposition and is provided. Different from traditional problems driving all the local states to common value, DPCOP aims solve system-wide with partial parameters shared amongst agents in way. To relax restriction on topology, projected subgradient applied stage achieve estimated parameters, while subgradients can...
ABSTRACT This paper focuses on privacy‐preserving distributed convex optimization across directed graphs within a prescribed‐time. To reduce the communication cost and achieve fast convergence, we propose novel event‐triggered prescribed‐time convergent algorithm built upon an extended Zero‐Gradient‐Sum method with free initialization. Specifically, formulate event‐triggering conditions for each agent, ensuring that inter‐agent occurs solely meeting these conditions, thus significantly...
The host-guest binding of Cucurbit[7]uril to a methylpyridinium-functionalized Co(II)-terpyridine complex shifts the spin equilibrium low-spin state (ΔT1/2 = 77 K) via secondary coordination sphere perturbation, providing new insights...
A simple, effective, and environmentally-friendly method to fabricate 2D MOF membrane <italic>via</italic> the contra-diffusion was reported. The exhibited high CO<sub>2</sub> permeance excellent selective permeability of over N<sub>2</sub> CH<sub>4</sub>.
As a class of novel biomaterials manufactured by synthetic biology technologies, recombinant collagens are candidates for variety medical applications. In this article, regulatory scientific perspective on and their devices is presented with focus the definition, translation, classification technical review. Recombinant categorized as human collagen, humanized collagen collagen-like protein, differentiated specific compositions structures. Based intended uses associated risks, collagen-based...
Neural network-based models have been implemented to predict various health indicators of asphalt pavement using historical detection data. Unfortunately, their accuracy and reliability are not acceptable owing shallow architecture. To solve the issue, this study proposed an improved Transformer network health, called with forward reversed time series (Transformer FRTS). In terms input data, FRTS uses a new data form, so-called random difference series, reduce dependency prediction....
This paper focuses on finite-time (FT) convergent distributed algorithms for solving time-varying (TV) optimization (TVDO). The objective is to minimize the sum of local TV cost functions subject possible constraints by coordination multiple agents in finite time. Specifically, two classes TVDO are investigated included unconstrained consensus and optimal resource allocation problems (DORAP) with both coupled equation constraints. For previous one, based non-smooth analysis, a...
Abstract Recombinant collagen is a pivotal topic in foundational biological research and epitomizes the application of critical bioengineering technologies. These technological advancements have profound implications across diverse areas such as regenerative medicine, organ replacement, tissue engineering, cosmetics more. Thus, recombinant its preparation methodologies rooted genetically engineered cells mark milestones medical product research. This article provides comprehensive overview...