Gang Sun

ORCID: 0000-0003-4827-103X
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About
Contact & Profiles
Research Areas
  • Surface Modification and Superhydrophobicity
  • Adaptive Control of Nonlinear Systems
  • Fluid Dynamics and Turbulent Flows
  • Aerodynamics and Fluid Dynamics Research
  • Adhesion, Friction, and Surface Interactions
  • Turbomachinery Performance and Optimization
  • Distributed Control Multi-Agent Systems
  • Computational Fluid Dynamics and Aerodynamics
  • Metal and Thin Film Mechanics
  • Model Reduction and Neural Networks
  • Odor and Emission Control Technologies
  • Multi-Criteria Decision Making
  • Fluid Dynamics and Heat Transfer
  • Neural Networks Stability and Synchronization
  • Rough Sets and Fuzzy Logic
  • Advanced Algorithms and Applications
  • Advanced Multi-Objective Optimization Algorithms
  • Iterative Learning Control Systems
  • Diamond and Carbon-based Materials Research
  • Adaptive Dynamic Programming Control
  • Martial Arts: Techniques, Psychology, and Education
  • Aerodynamics and Acoustics in Jet Flows
  • Enhanced Oil Recovery Techniques
  • Indoor Air Quality and Microbial Exposure
  • Vehicle emissions and performance

Dalian Maritime University
2009-2024

Fudan University
2015-2024

Guizhou University
2024

Xiamen University of Technology
2024

Nanjing University of Aeronautics and Astronautics
2018-2024

First Automotive Works (China)
2024

University of California, Davis
2004-2023

Hebei University
2023

China Southern Power Grid (China)
2023

Tongji University
2023

This paper addresses the leader–follower synchronization problem of uncertain dynamical multiagent systems with nonlinear dynamics. Distributed adaptive controllers are proposed based on state information neighboring agents. The control design is developed for both undirected and directed communication topologies without requiring accurate model each agent. result further extended to output feedback case where a neighborhood observer relative Then, distributed observer-based derived...

10.1109/tnnls.2013.2293499 article EN IEEE Transactions on Neural Networks and Learning Systems 2014-01-31

Co-gel strategy for preparing hierarchically porous silica/polyimide aerogel with low density, high specific modulus, hydrophobicity, flame retardancy, and thermal insulation.

10.1039/c9ta13011j article EN Journal of Materials Chemistry A 2020-01-01

10.1016/j.ast.2015.01.030 article EN Aerospace Science and Technology 2015-02-10

Abstract The biomimetic exploration of functionalized materials is still great importance to chemists and scientists, although the majority ingenious structures functions organisms are not simulated precisely. Here, taking inspiration from strongly hydrophobic properties Salvinia leaf, a novel superhydrophobic multifunctional aramid‐polyimide nanocomposite aerogel with leaf‐like fabricated (abbreviated Bio‐ANFPI aerogel). Bio‐ANFPI‐ 1 surface covered many generated spherical hemispherical...

10.1002/adfm.202110830 article EN Advanced Functional Materials 2021-12-22

In this study, a distributed model reference adaptive control architecture is developed to achieve the cooperative tracking of uncertain dynamical multi‐agent systems, where serves as virtual leader for group track. Two laws, with one adjusting coupling weights and other neural network weights, are designed based on relative state information neighbouring agents. The proposed controller guarantees that each agent synchronizes over any undirected connected communication graphs, all signals in...

10.1049/iet-cta.2012.0765 article EN IET Control Theory and Applications 2013-05-01

A synergistic strategy was proposed to fabricate an ultralight aramid nanofiber/polyimide (ANF/PI) composite aerogel (5.18 mg cm<sup>−3</sup>), which highly compressible and low thermal conductivity (28.6 ± 0.53 mW (m K)<sup>−1</sup>).

10.1039/d0qm00724b article EN Materials Chemistry Frontiers 2020-10-30

10.1016/s1672-6529(08)60094-3 article EN Journal of Bionic Engineering 2009-03-01
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