Yun Shang

ORCID: 0000-0003-2897-2568
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About
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Research Areas
  • Neural Networks Stability and Synchronization
  • Adaptive Control of Nonlinear Systems
  • Chaos control and synchronization
  • Nonlinear Dynamics and Pattern Formation
  • Distributed Control Multi-Agent Systems
  • Adaptive Dynamic Programming Control
  • Quantum chaos and dynamical systems
  • Neural Networks and Applications
  • stochastic dynamics and bifurcation
  • Opinion Dynamics and Social Influence
  • Cellular Automata and Applications
  • Chaos-based Image/Signal Encryption
  • Advanced Control Systems Optimization
  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Iterative Learning Control Systems
  • Industrial Technology and Control Systems
  • Complex Network Analysis Techniques
  • Stability and Control of Uncertain Systems
  • Advanced Adaptive Filtering Techniques
  • Advanced Algorithms and Applications
  • X-ray Diffraction in Crystallography
  • Advanced Queuing Theory Analysis
  • Rings, Modules, and Algebras
  • Powder Metallurgy Techniques and Materials

Qingdao University of Science and Technology
2009-2024

Qingdao University
2017-2021

Beihang University
2021

Ningbo University of Technology
2021

Lanzhou City University
2010-2014

Beijing University of Chemical Technology
2013

Wuhan University
2013

Academia Sinica
2009-2012

Tokyo University of Science
2011

PLA Academy of Military Science
2009

This paper aims to address adaptive tracking control problem of distributed multiagent systems. Differing from some existing works, each follower under consideration is modeled by a nonlinear nonstrict feedback system, especially, the virtual and real gains are unknown functions rather than constants. To overcome difficulty caused nonlinearities, radial basis function neural networks employed model those nonlinearities. Then, approach backstepping technique combined construct consensus...

10.1109/tsmc.2018.2816928 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2018-04-05

This article discusses the consensus tracking issue for multiagent systems, and purpose is to develop a fixed-time proposal by fuzzy adaptive method. To this end, we first set up more general stability criterion. By using proposed criterion, backstepping design procedure presented construct controller. The suggested control protocol guarantees that 1) each agent, its closed-loop signals keep bounded; 2) error tends small region around origin in fixed time. In addition, virtual are...

10.1109/tfuzz.2020.3042239 article EN IEEE Transactions on Fuzzy Systems 2020-12-03

10.1016/j.jfranklin.2020.08.020 article EN Journal of the Franklin Institute 2020-08-29

The Traveling Salesman Problem (TSP) is a classical NP-hard problem that plays crucial role in combinatorial optimization. In this paper, we are interested the quantum search framework for TSP because it has robust theoretical guarantees. However, need to first all Hamiltonian cycles from very large solution space, which greatly weakens advantage of algorithms. To address issue, one can prepare superposition state feasible solutions, and then amplify amplitude optimal it. We propose...

10.48550/arxiv.2502.08853 preprint EN arXiv (Cornell University) 2025-02-12

In this paper we consider complete synchronization in small-world networks of identical Rössler oscillators. By applying a simple but effective dynamical optimization coupling scheme, realize with undelayed or delayed couplings, as well ensuring that all oscillators have uniform intensities during the transition to synchronization. Further, obtain matrix much better synchronizability certain range probability p for adding long-range connections. Direct numerical simulations fully verify...

10.1063/1.2939136 article EN Chaos An Interdisciplinary Journal of Nonlinear Science 2008-09-01

10.1016/j.chaos.2004.11.075 article EN Chaos Solitons & Fractals 2005-03-22

We consider generalized synchronization of complex networks, which are unidirectionally coupled in the drive-response configuration. The drive network consists linearly and diffusively identical chaotic systems. By choosing suitable driving signals, we can construct response to generally synchronize a predefined functional relationship. This extends both systems inside network. Theoretical analysis numerical simulations fully verify our main results.

10.1103/physreve.80.027201 article EN Physical Review E 2009-08-12

This paper focuses on the finite-time consensus tracking control problem of nonlinear multi-agent systems. Dynamics each agent has completely unknown terms that cannot be directly used for design. Therefore, fuzzy logic systems are employed to approximate these functions. Furthermore, a adaptive protocol is proposed class by using integral-type Lyapunov The developed backstepping design scheme successfully avoids singularity derivatives virtual signals. It shown with presented protocol,...

10.1080/00207721.2020.1856450 article EN International Journal of Systems Science 2020-12-09

This paper is concerned with the fixed-time consensus control problem for non-strict feedback multi-agent systems asymmetric output constraints and full state constraints. Considering feasibility of controlling execution, a novel practical virtual signal developed utilizing both saturation function hyperbolic tangent to ensure that this can remain within same restricted range as corresponding variable throughout entire operation process. In backstepping steps, design ideal also adopts...

10.1016/j.neucom.2024.128164 article EN cc-by-nc Neurocomputing 2024-07-06

We propose a dynamical gradient network approach to consider the synchronization in Kuramoto model. Our scheme adaptively adjust couplings is based on networks, where number of links each time interval same as oscillators, but different intervals are also different. The (n+1)th decided by oscillator dynamics n th interval. According interval, only one inlink's coupling for adjusted small incremental coupling. During transition synchronization, intensities all oscillators identical. Direct...

10.1103/physreve.77.027101 article EN Physical Review E 2008-02-11

10.1016/j.chaos.2003.12.066 article EN Chaos Solitons & Fractals 2004-01-23

In this paper we develop a new approach to generally synchronize Genesio–Tesi systems. A suitable scalar signal of the master, system, is transmitted slaver, which derived from an iteration transformation system. If parameter chosen properly, stability synchronization manifold becomes Hurwitz stability. Numerical simulation verifies effectiveness method.

10.1142/s0218127404009077 article EN International Journal of Bifurcation and Chaos 2004-01-01

We introduce a modified dynamical optimization coupling scheme to enhance the synchronizability in scale-free networks as well keep uniform and converging intensities during transition synchronization. Further, size of that can be synchronizable exceeds by several orders magnitude unweighted networks.

10.1063/1.3062864 article EN Chaos An Interdisciplinary Journal of Nonlinear Science 2009-01-16

10.1016/j.physleta.2005.02.006 article EN Physics Letters A 2005-02-17

This brief studies the networked SIS (Susceptible-Infected-Susceptible) model coupled with opinion dynamics, where epidemic spread and evolution influence each other. We consider that spreads over a contact network consisting of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> agents (i.e., communities), evolves in an stubborn who do not change their opinions. To understand...

10.1109/tcsii.2023.3314618 article EN IEEE Transactions on Circuits & Systems II Express Briefs 2023-09-12

10.1016/j.chaos.2004.03.021 article EN Chaos Solitons & Fractals 2004-05-01

In this paper, an adaptive neural control issue is addressed for a class of switched unknown strict-feedback nonlinear system under constraint output, in which the input signal quantized. The goal to design quantized controller ensure that system's output follows given reference signal, meanwhile, meets asymmetric requirement. To end, radial basis function networks (RBFNNs) are employed approximate functions. Adaptive backstepping technique and barrier Lyapunov method utilized tracking...

10.1109/access.2019.2937822 article EN cc-by IEEE Access 2019-01-01

Cholesky decomposition has wide applications in solving many engineering and scientific problems. Acceleration is an important issue of these In this paper, a hardware-based LL <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</sup> featuring high throughput been presented to solve wiener filtering based on the minimum square error criterion. To achieve best efficiency, implementation realized by fixed-point multiple structures various pipeline...

10.1109/cisp.2013.6743941 article EN 2013-12-01

As the demand is more sensitive to price and sales effort, this paper investigates issue of channel coordination for a supply chain with one manufacturer retailer facing effort dependent stochastic demand. A composite contract based on quantity-restricted returns target rebate can achieve in setting. Two main problems are addressed: (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mn fontstyle="italic">1</mml:mn></mml:mrow></mml:math>) how coordinate...

10.1155/2016/3650605 article EN cc-by Mathematical Problems in Engineering 2016-01-01

10.1016/j.physleta.2005.10.020 article EN Physics Letters A 2005-10-18
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