Loading [MathJax]/extensions/MathMenu.js

Song Han - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Institutional Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

Song Han

Publications

17

Citations

126

Publications by Year

20162025

Co-Authors:

Jun DaiXinping GuanTiankai HeLiwen JiaXinbin Li

Show All Co-Authors (18)

Song Han

Affiliation

Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province

Yanshan University

Qinhuangdao, China

Publication Topics

Autonomous Underwater Vehicles,
Learning Algorithms,
Generative Adversarial Networks,
Informal Learning,
Multi-armed Bandit,
Relay Nodes,
Bandit Learning,
Bandit Problem,
Bit Error Rate,
Efficient Learning,
Energy Consumption,
Feasible Strategy

Biography

Song Han received the Ph.D. degree in control theory and engineering from Yanshan University, Qinhuangdao, China, in 2018.,He is currently an Associate Professor with the School of Electrical Engineering, Yanshan University. His research interests include resource allocation algorithm in underwater acoustic communication system.(Based on document published on 7 July 2023).

Publications

17

Citations

126

Publications by Year

20162025

Co-Authors:

Jun Dai
Xinping Guan
Tiankai He
Liwen Jia
Xinbin Li

Show All Co-Authors (18)

Author's Published Works

Search History

Showing 1-11 of 11 results

Journals (8)

Conferences (3)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Yingying Wang(10)
Jianyu Zhang(8)
Huaguang Zhang(4)
Yingchun Wang(4)
Qingling Zhang(4)
School of Science, Shenyang University of Technology, Shenyang, China(5)
School of Information Science and Engineering, Northeastern University, Shenyang, China(4)
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China(3)
College of Information Science and Engineering, Northeastern University, Shenyang, China(2)
Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA(1)
IEEE Transactions on Cybernetics(2)
IEEE Transactions on Fuzzy Systems(2)
IEEE Transactions on Systems, Man, and Cybernetics: Systems(2)
2014 International Joint Conference on Neural Networks (IJCNN)(1)
2017 36th Chinese Control Conference (CCC)(1)
IEEE(11)
Media(1)
Beijing, China(1)
Dalian, China(1)
Xi'an, China(1)
Fuzzy Control(8)
Linear Matrix Inequalities(8)
Nonlinear Systems(8)
Sliding Mode Control(8)
Sliding Mode Surface(8)

Select All on Page

Sort By

Results

A New Stochastic Sliding-Mode Design for Descriptor Fuzzy Systems With Time-Varying Delay

Yingying Wang;Jianyu Zhang;Huaguang Zhang;Jiayue Sun

IEEE Transactions on Cybernetics

Year: 2021 | Volume: 51, Issue: 7 | Journal Article |

Cited by: Papers (8)

HTML

In this article, by use of sliding-mode control, a descriptor stochastic fuzzy system with time-varying delay is considered. First, a new sliding-mode surface is proposed. By use of it, the fuzzy system with different input matrices could be studied. At the same time, the controlled system still has strong robustness to external disturbance. Second, since time delay is variable, there is not the t...Show More

A New Stochastic Sliding-Mode Design for Descriptor Fuzzy Systems With Time-Varying Delay

Yingying Wang;Jianyu Zhang;Huaguang Zhang;Jiayue Sun

IEEE Transactions on Cybernetics

Year: 2021 | Volume: 51, Issue: 7 | Journal Article |

Sliding-Mode Control for Fuzzy Stochastic Systems With Different Local-Input Matrices

Ying Ying Wang;Jian Yu Zhang;Hua Guang Zhang

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Year: 2021 | Volume: 51, Issue: 8 | Journal Article |

Cited by: Papers (5)

HTML

By use of the method of sliding-mode control, the stabilization of the T-S fuzzy stochastic system with time delay is considered in this article. The characteristic of the proposed method is that the input matrices of the fuzzy system are not common. And the proposed control method of this article can resist the disturbance. First, a novel sliding-mode surface is introduced. Using the new surface,...Show More

Sliding-Mode Control for Fuzzy Stochastic Systems With Different Local-Input Matrices

Ying Ying Wang;Jian Yu Zhang;Hua Guang Zhang

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Year: 2021 | Volume: 51, Issue: 8 | Journal Article |

Sliding Mode Control for Fuzzy Singular Systems With Time Delay Based on Vector Integral Sliding Mode Surface

Yi Zhang;Qingling Zhang;Jianyu Zhang;Yingying Wang

IEEE Transactions on Fuzzy Systems

Year: 2020 | Volume: 28, Issue: 4 | Journal Article |

Cited by: Papers (39)

HTML

This article studies the sliding mode control (SMC) of a class of Takagi-Sugeno (T-S) fuzzy singular systems with matched external disturbances. The key advantage of this article is that the input matrices of the considered fuzzy systems could be different, and a novel SMC provided in this article has strong robustness. In this article, systems with delayed state are considered. The time delay is ...Show More

Sliding Mode Control for Fuzzy Singular Systems With Time Delay Based on Vector Integral Sliding Mode Surface

Yi Zhang;Qingling Zhang;Jianyu Zhang;Yingying Wang

IEEE Transactions on Fuzzy Systems

Year: 2020 | Volume: 28, Issue: 4 | Journal Article |

A Novel Sliding Mode Control for a Class of Stochastic Polynomial Fuzzy Systems Based on SOS Method

Huaguang Zhang;Yingying Wang;Yingchun Wang;Jianyu Zhang

IEEE Transactions on Cybernetics

Year: 2020 | Volume: 50, Issue: 3 | Journal Article |

Cited by: Papers (18)

HTML

In this paper, a novel robust controller for continuous stochastic polynomial fuzzy systems is investigated. The aim of the proposed method is to eliminate the restrictive assumptions that the local input matrix Bi must be uniform and the sliding mode surface proposed did not consider the stochastic perturbations, which are required in most existing results. At the same time, the proposed method c...Show More

A Novel Sliding Mode Control for a Class of Stochastic Polynomial Fuzzy Systems Based on SOS Method

Huaguang Zhang;Yingying Wang;Yingchun Wang;Jianyu Zhang

IEEE Transactions on Cybernetics

Year: 2020 | Volume: 50, Issue: 3 | Journal Article |

A Hybrid MIP–CP Approach to Multistage Scheduling Problem in Continuous Casting and Hot-Rolling Processes

Yuanyuan Tan;MengChu Zhou;Yingying Wang;Xiwang Guo;Liang Qi

IEEE Transactions on Automation Science and Engineering

Year: 2019 | Volume: 16, Issue: 4 | Journal Article |

Cited by: Papers (51)

HTML

This paper studies a new scheduling problem in a steel plant, referring to continuous casting (CC), reheating furnace, and hot rolling (HR) processes, which is meaningful and important to the production efficiency and energy saving. First, the problem is modeled as a combination of two coupled subproblems: one assigns casts to continuous casting (CC) machines, decides sequence and start time for c...Show More

A Hybrid MIP–CP Approach to Multistage Scheduling Problem in Continuous Casting and Hot-Rolling Processes

Yuanyuan Tan;MengChu Zhou;Yingying Wang;Xiwang Guo;Liang Qi

IEEE Transactions on Automation Science and Engineering

Year: 2019 | Volume: 16, Issue: 4 | Journal Article |

An SOS-Based Sliding Mode Controller Design for a Class of Polynomial Fuzzy Systems

Huaguang Zhang;Yingying Wang;Jianyu Zhang;Yingchun Wang

IEEE Transactions on Fuzzy Systems

Year: 2019 | Volume: 27, Issue: 4 | Journal Article |

Cited by: Papers (6)

HTML

This paper investigates the problem of designing a robust controller for continuous polynomial fuzzy systems with external disturbances. The input matrix Bi(x) of the considered system is not equal to one another. To solve this problem, first, we rewrite every column vector of input matrix Bi(x) using the vectors of the basis matrix B(x). Second, by use of the column vector of B(x), the subsliding...Show More

An SOS-Based Sliding Mode Controller Design for a Class of Polynomial Fuzzy Systems

Huaguang Zhang;Yingying Wang;Jianyu Zhang;Yingchun Wang

IEEE Transactions on Fuzzy Systems

Year: 2019 | Volume: 27, Issue: 4 | Journal Article |

Sliding-Mode Control for Singular Markovian Jump Systems With Brownian Motion Based on Stochastic Sliding Mode Surface

Qingling Zhang;Jianyu Zhang;Yingying Wang

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Year: 2019 | Volume: 49, Issue: 3 | Journal Article |

Cited by: Papers (67)

HTML

In this paper, the stabilization problems for singular Markovian systems with Brownian motion are studied by use of sliding mode control (SMC) with the jumping transfer matrix known, unknown, or partly unknown. At first, a new stochastic sliding mode surface (SSS) is introduced. The problem of state trajectories moving among several sliding mode surfaces can be settled perfectly. By use of the pro...Show More

Sliding-Mode Control for Singular Markovian Jump Systems With Brownian Motion Based on Stochastic Sliding Mode Surface

Qingling Zhang;Jianyu Zhang;Yingying Wang

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Year: 2019 | Volume: 49, Issue: 3 | Journal Article |

Robust Sliding-Mode Control for Fuzzy Stochastic Singular Systems With Different Local Input Matrices

Qingling Zhang;Jianyu Zhang;Yingying Wang

Year: 2018 | Volume: 6 | Journal Article |

Cited by: Papers (4)

HTML

In this paper, the stabilization is investigated about fuzzy stochastic singular systems by the use of sliding-mode control (SMC). The advantage of this paper is that local input matrices of fuzzy systems could be different, and the SMC law provided in this paper still has strong robustness to resist external disturbance. In order to deal with the problem of different input matrices, a novel slidi...Show More

Robust Sliding-Mode Control for Fuzzy Stochastic Singular Systems With Different Local Input Matrices

Qingling Zhang;Jianyu Zhang;Yingying Wang

Year: 2018 | Volume: 6 | Journal Article |

Design of adaptively integral sliding mode controllers for delayed linear systems with mismatched uncertainties: A delay partitioning approach

Jianyu Zhang;Qingling Zhang;Yingying Wang

2017 36th Chinese Control Conference (CCC)

Year: 2017 | Conference Paper |

HTML

In this paper, the problem of sliding mode control (SMC) for mismatched uncertain system is investigated. Some delay dependent robust asymptotical stability conditions are provided. Firstly, we give a lemma. By this lemma, a delay-dependent sufficient condition is presented by means of linear matrix inequalities (LMIs) which makes sliding mode dynamics asymptotically stable. Secondly, an adaptive ...Show More

Design of adaptively integral sliding mode controllers for delayed linear systems with mismatched uncertainties: A delay partitioning approach

Jianyu Zhang;Qingling Zhang;Yingying Wang

2017 36th Chinese Control Conference (CCC)

Year: 2017 | Conference Paper |

Discrete-time polynomial fuzzy observer designs via a sum of squares approach

Yingying Wang;Huaguang Zhang;Jianyu Zhang;Yingchun Wang

2014 International Joint Conference on Neural Networks (IJCNN)

Year: 2014 | Conference Paper |

HTML

In this paper, a sum of squares(SOS) method is proposed to design observers for discrete-time polynomial fuzzy systems. The proposed SOS approach has two improved and innovative results for the existing linear matrix inequality (LMI) method to Takagi-Sugeno(T-S) discrete fuzzy observer designs. Firstly, a polynomial discrete fuzzy model is developed, which is a generation of the well-known T-S fuz...Show More

Discrete-time polynomial fuzzy observer designs via a sum of squares approach

Yingying Wang;Huaguang Zhang;Jianyu Zhang;Yingchun Wang

2014 International Joint Conference on Neural Networks (IJCNN)

Year: 2014 | Conference Paper |

Adaptive interval 2 fuzzy neural control for a class of nonlinear systems with uncertainty and state time delays

Yingying Wang;Yingchun Wang;Dongsheng Yang

Proceedings of the 32nd Chinese Control Conference

Year: 2013 | Conference Paper |

Cited by: Papers (1)

HTML

In this paper, a new adaptive control is proposed for uncertain nonlinear systems with state time delay. The uncertainties is approximately modeled by interval type-2 fuzzy neural networks. The proposed approach is based on the backstepping control technique. An adaptive interval type 2 neural fuzzy control is proposed for a class of uncertain nonlinear systems with unknown time delays. It is math...Show More

Adaptive interval 2 fuzzy neural control for a class of nonlinear systems with uncertainty and state time delays

Yingying Wang;Yingchun Wang;Dongsheng Yang

Proceedings of the 32nd Chinese Control Conference

Year: 2013 | Conference Paper |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.