Liangkuan Zhu - IEEE Xplore Author Profile
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Liangkuan Zhu

Also published under: Liang-kuan Zhu, Liang-Kuan Zhu

Publications
14
Citations
88
Publications by Year
20062024
Co-Authors:
Show All Co-Authors (26)
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Liangkuan Zhu

Also published under: Liang-kuan Zhu, Liang-Kuan Zhu

Affiliation

College of Mechanical and Electrical Engineering
Northeast Forestry University
Harbin, China

Publication Topics

Biography

Liangkuan Zhu (Member, IEEE) received the B.S. and M.Eng. degrees in mathematics from Bohai University, Jinzhou, China, in 2001 and 2004, respectively, and the Ph.D. degree in control science and engineering from Harbin Institute of Technology, Harbin, China, in 2008.,Since 2008, he has been with the Department of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China, where he is currently a Professor. From 2013 to 2014, he was a Visiting Scholar with the Department of Mechanical and Industrial Engineering, Concordia University, Montreal, QC, Canada. His research interests include intelligent algorithm theory and application, network-based control, and intelligent control.(Based on document published on 28 September 2021).
Publications
14
Citations
88
Publications by Year
20062024
Co-Authors:
Show All Co-Authors (26)
Author's Published Works

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Observer-Based Sliding Mode Control for Interconnected Systems Under Constrained Bit Rate: Weighted Try-Once-Discard Scheme

Xing Qi;Liangkuan Zhu;Xin Li

2024 China Automation Congress (CAC)
Year: 2024 | Conference Paper |
This paper investigates the observer-based sliding mode control (SMC) problem for interconnected systems under the constrained bit rate and weighted try-once-discard (WTOD) protocol. The bandwidth of the digital communication network is measured by the bit rate. With limited network bandwidth, a WTOD protocol is introduced to reduce the length of the transmitted sensor data to reduce the bit rate ...Show More

Observer-Based Sliding Mode Control for Interconnected Systems Under Constrained Bit Rate: Weighted Try-Once-Discard Scheme

Xing Qi;Liangkuan Zhu;Xin Li

Year: 2024 | Conference Paper |

Design of Functional Interval Observer for Discrete Time-Varying Nonlinear Interconnected Systems Based on Coding-Decoding Scheme

Xin Li;Ruiqi Gong;Liangkuan Zhu;Guoliang Wei

IEEE Transactions on Signal and Information Processing over Networks
Year: 2023 | Early Access Article |
Cited by: Papers (1)
In this paper, we design a distributed functional interval observer for discrete time-varying nonlinear interconnected systems. The communication between subsystems adapts the coding-decoding scheme (CDS) to save bandwidth and avoid data conflicts. The state set is described by the ellipsoid which can improve estimation accuracy and reduce conservatism. Besides, we give the conditions for the esta...Show More

Design of Functional Interval Observer for Discrete Time-Varying Nonlinear Interconnected Systems Based on Coding-Decoding Scheme

Xin Li;Ruiqi Gong;Liangkuan Zhu;Guoliang Wei

Year: 2023 | Early Access Article |

Optimal Scheduling for Integrated Energy-Mobility Systems Based on Renewable-to-Hydrogen Stations and Tank Truck Fleets

Mingfei Ban;Wenchao Bai;Wenlong Song;Liangkuan Zhu;Shiwei Xia;Ziqing Zhu;Ting Wu

IEEE Transactions on Industry Applications
Year: 2022 | Volume: 58, Issue: 2 | Journal Article |
Cited by: Papers (43)
As an emerging energy carrier, hydrogen presents a potential opportunity to increase the flexibility and resiliency of the integrated power and transportation system having ultrahigh penetration of renewable generation. This article studies a conceptual integrated energy-mobility system (IEMS) based on renewable-to-hydrogen stations (RHSs) and tank truck fleets. In an RHS, the renewables power the...Show More

Optimal Scheduling for Integrated Energy-Mobility Systems Based on Renewable-to-Hydrogen Stations and Tank Truck Fleets

Mingfei Ban;Wenchao Bai;Wenlong Song;Liangkuan Zhu;Shiwei Xia;Ziqing Zhu;Ting Wu

Year: 2022 | Volume: 58, Issue: 2 | Journal Article |

Medium Density Fiberboard Continuous Hot-Pressing Process Based on Intelligent DSC

Yugang Zhou;Liangkuan Zhu;Zibo Wang

2018 10th International Conference on Modelling, Identification and Control (ICMIC)
Year: 2018 | Conference Paper |
In order to guarantee slab thickness precision of medium density fiberboard (MDF), the continuous hot-pressing process based on intelligent dynamic surface control (DSC) was investigated. Firstly, a mathematic model for hydraulic servo system of the continuous hot-pressing machine was proposed. Due to the uncertain function in the model, a fuzzy logic system was introduced to approximate it. Subse...Show More

Medium Density Fiberboard Continuous Hot-Pressing Process Based on Intelligent DSC

Yugang Zhou;Liangkuan Zhu;Zibo Wang

Year: 2018 | Conference Paper |

Robust Adaptive Neural Prescribed Performance Control for MDF Continuous Hot Pressing System With Input Saturation

Liangkuan Zhu;Yugang Zhou;Yaqiu Liu

IEEE Access
Year: 2018 | Volume: 6 | Journal Article |
Cited by: Papers (11)
This paper presents a novel nonlinear control approach for medium-density fiberboard continuous hot pressing electro-hydraulic servo system (EHSS). The EHSS is subject to input saturation and unknown external disturbance. The approach is developed in the framework of the prescribed performance control design. The transient and steady behaviors are both considered by virtue of an appropriate perfor...Show More

Robust Adaptive Neural Prescribed Performance Control for MDF Continuous Hot Pressing System With Input Saturation

Liangkuan Zhu;Yugang Zhou;Yaqiu Liu

Year: 2018 | Volume: 6 | Journal Article |

Adaptive Neural Network Saturated Control for MDF Continuous Hot Pressing Hydraulic System With Uncertainties

Liangkuan Zhu;Zibo Wang;Yugang Zhou;Yaqiu Liu

IEEE Access
Year: 2018 | Volume: 6 | Journal Article |
Cited by: Papers (11)
This paper presents a novel nonlinear control approach for a medium density fiberboard continuous hot pressing hydraulic system. Uncertainties, disturbances, and input saturation are explicitly taken into account. The proposed controller incorporates a smooth function by using a hyperbolic tangent function to substitute for the saturation nonlinearity in the system. Moreover, a novel backstepping-...Show More

Adaptive Neural Network Saturated Control for MDF Continuous Hot Pressing Hydraulic System With Uncertainties

Liangkuan Zhu;Zibo Wang;Yugang Zhou;Yaqiu Liu

Year: 2018 | Volume: 6 | Journal Article |

Sliding-mode dynamic surface control for MDF continuous hot pressing hydraulic system

Liangkuan Zhu;Zibo Wang;Yaqiu Liu;Wenlong Song

2016 Chinese Control and Decision Conference (CCDC)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
In order to realize position tracking for Medium Density Fiberboard (MDF) continuous hot pressing electro-hydraulic servo system at the fixing thickness stage, a sliding-mode dynamic surface control strategy is proposed. Compared with backstepping method, dynamic surface control (DSC) introduces the first low-pass filters into the procedure to calculate derivatives of synthetic inputs, which simpl...Show More

Sliding-mode dynamic surface control for MDF continuous hot pressing hydraulic system

Liangkuan Zhu;Zibo Wang;Yaqiu Liu;Wenlong Song

Year: 2016 | Conference Paper |

SMDO-based backstepping terminal sliding mode control method for hot press hydraulic position servo system

Xiaodong Shao;Liangkuan Zhu;Yaqiu Liu

The 27th Chinese Control and Decision Conference (2015 CCDC)
Year: 2015 | Conference Paper |
Cited by: Papers (5)
This paper presents an adaptive backstepping terminal sliding mode control scheme combined the sliding mode disturbance observer for hot press hydraulic position servo system with composite disturbance including internal parameter perturbations and external load disturbance. The sliding mode disturbance observer (SMDO) based on adaptive-gain super-twisting (STW) algorithm is introduced to ensure t...Show More

SMDO-based backstepping terminal sliding mode control method for hot press hydraulic position servo system

Xiaodong Shao;Liangkuan Zhu;Yaqiu Liu

Year: 2015 | Conference Paper |

Smoothing neural network for constrained convex optimization with global attractivity

Yaqiu Liu;Qingfa Li;Liangkuan Zhu

2014 International Conference on Mechatronics and Control (ICMC)
Year: 2014 | Conference Paper |
Cited by: Papers (1)
A smoothing neural network (SNN) can be proposed for solving a kind of constrained convex problems, which has wide applications in image restoration. The optimization model is a nonsmooth convex problem with convex constraint defined by a class of affine equalities. Thanks to the smoothing methods, the SNN can be modeled by a differential equation instead of a differential inclusion and it can be ...Show More

Smoothing neural network for constrained convex optimization with global attractivity

Yaqiu Liu;Qingfa Li;Liangkuan Zhu

Year: 2014 | Conference Paper |

Edge detection of plant roots image via Gabor wavelet theory

Wen-long Song;Li-hui Wang;Liang-kuan Zhu;Fa-yi Qu

2011 Chinese Control and Decision Conference (CCDC)
Year: 2011 | Conference Paper |
Cited by: Papers (1)
The pictures extracted from the plant roots often have quite big noises and often affected greatly by the light intensity, neither could we achieve satisfactory results by using the traditional image edge detection method to detect the edge information. To this issue, a method for edge detection and its application in edge image detection for plant roots via gabor wavelet theory is proposed, which...Show More

Edge detection of plant roots image via Gabor wavelet theory

Wen-long Song;Li-hui Wang;Liang-kuan Zhu;Fa-yi Qu

Year: 2011 | Conference Paper |

Constructing Multiple Support Vector Machines Ensemble Based on Fuzzy Integral and Rough Reducts

Yi-Zhuo Zhang;Chun-Mei Liu;Liang-Kuan Zhu;Qing-Lei Hu

2007 2nd IEEE Conference on Industrial Electronics and Applications
Year: 2007 | Conference Paper |
Cited by: Papers (6)
Even the multiple support vector machine (SVM) ensemble has been proved to improve the classification performance greatly than a single SVM, the classification result of the practically implemented SVM is often far from the theoretically expected level. As compared to traditional bagging and boosting methods, this paper proposes a novel SVM ensemble method based on fuzzy integral and rough reducts...Show More

Constructing Multiple Support Vector Machines Ensemble Based on Fuzzy Integral and Rough Reducts

Yi-Zhuo Zhang;Chun-Mei Liu;Liang-Kuan Zhu;Qing-Lei Hu

Year: 2007 | Conference Paper |

Combining Multiple Support Vector Machines using Fuzzy Integral for Classification

Gen-ting Yan;Guang-fu Ma;Liang-kuan Zhu;Zhong Shi

2006 International Conference on Machine Learning and Cybernetics
Year: 2006 | Conference Paper |
Cited by: Papers (1)
Recently, in the area of pattern recognition, the concept of combining multiple support vector machines (SVMs) has been proposed as a new direction to improve classification performance. However, current commonly used SVMs aggregation strategies do not evaluate the importance of degree of the output of individual component SVM classifier to the final decision. A method for multiple SVMs combinatio...Show More

Combining Multiple Support Vector Machines using Fuzzy Integral for Classification

Gen-ting Yan;Guang-fu Ma;Liang-kuan Zhu;Zhong Shi

Year: 2006 | Conference Paper |

Constructing Least Square Support Vector Machines Ensemble Based on Fuzzy Integral

Chun-mei Liu;Liang-kuan Zhu

2006 International Conference on Machine Learning and Cybernetics
Year: 2006 | Conference Paper |
Cited by: Papers (4)
Even the support vector machine (SVM) has been proved to improve the classification performance greatly than a single SVM, the classification result of the practically implemented SVM is often far from the theoretically expected level because they don't evaluate the importance degree of the output of individual component SVMs classifier to the final decision. This paper proposes a boosting least s...Show More

Constructing Least Square Support Vector Machines Ensemble Based on Fuzzy Integral

Chun-mei Liu;Liang-kuan Zhu

Year: 2006 | Conference Paper |

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