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Shunchao Zhang - IEEE Xplore Author Profile
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Shunchao Zhang

Also published under: Shun-Chao Zhang

Publications
23
Citations
251
Publications by Year
20182025
Co-Authors:
Show All Co-Authors (19)
Image of author Shunchao Zhang

Shunchao Zhang

Also published under: Shun-Chao Zhang

Affiliation

School of Internet Finance and Information Engineering
Guangdong University of Finance
Guangzhou, China

Publication Topics

Biography

Shunchao Zhang received the B.S. degree from the Hunan Institute of Engineering, in 2016, the M.S. degree from the Guangdong University of Technology, Guangdong, China, in 2019, where he is currently pursuing the Ph.D. degree. His current research interests include spectrum sensing in cognitive radio, clustering algorithm, and adaptive dynamic programming.(Based on document published on 1 January 2020).
Publications
23
Citations
251
Publications by Year
20182025
Co-Authors:
Show All Co-Authors (19)
Author's Published Works

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Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming

Bo Zhao;Shunchao Zhang;Derong Liu

IEEE Transactions on Neural Networks and Learning Systems
Year: 2025 | Volume: 36, Issue: 3 | Journal Article |
Cited by: Papers (5)
In this article, a novel self-triggered approximate optimal neuro-control scheme is presented for nonlinear systems by utilizing adaptive dynamic programming (ADP). According to the Bellman principle of optimality, the cost function of the general nonlinear system is approximated by building a critic neural network with a nested updating weight vector. Thus, the Hamilton–Jacobi–Bellman equation is...Show More

Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming

Bo Zhao;Shunchao Zhang;Derong Liu

Year: 2025 | Volume: 36, Issue: 3 | Journal Article |

Fuzzy Logic System-Based Non-Singular Finite-Time Containment Control For High-Order Nonlinear Multi-Agent Systems with Actuation Constraints

Dacai Liu;Xianxian Zeng;Shunchao Zhang;Yishu Lin

2024 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC)
Year: 2024 | Conference Paper |
In this paper, the non-singular finite-time containment control for high-order nonlinear multi-agent systems with actuation constraints is firstly investigated in this paper. To address avoid singularity in recursive design, the design of Lyapunov functions adopts adding a power integrator technique instead of square. Then, fuzzy logic systems are used to deal with unknown nonlinearities. To achie...Show More

Fuzzy Logic System-Based Non-Singular Finite-Time Containment Control For High-Order Nonlinear Multi-Agent Systems with Actuation Constraints

Dacai Liu;Xianxian Zeng;Shunchao Zhang;Yishu Lin

Year: 2024 | Conference Paper |

Event-Triggered Decentralized Integral Sliding Mode Control for Input-Constrained Nonlinear Large-Scale Systems With Actuator Failures

Shunchao Zhang;Bo Zhao;Derong Liu;Yongwei Zhang

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2024 | Volume: 54, Issue: 3 | Journal Article |
Cited by: Papers (5)
In this article, an event-triggered decentralized integral sliding mode control (ETDISMC) method is investigated for a class of input-constrained nonlinear large-scale systems with actuator failures based on adaptive dynamic programming (ADP). An integral sliding mode control method is developed to maintain the subsystem trajectories on the sliding mode surface, eliminate the effect of actuator fa...Show More

Event-Triggered Decentralized Integral Sliding Mode Control for Input-Constrained Nonlinear Large-Scale Systems With Actuator Failures

Shunchao Zhang;Bo Zhao;Derong Liu;Yongwei Zhang

Year: 2024 | Volume: 54, Issue: 3 | Journal Article |

Distributed Fault Tolerant Consensus Control of Nonlinear Multiagent Systems via Adaptive Dynamic Programming

Yongwei Zhang;Bo Zhao;Derong Liu;Shunchao Zhang

IEEE Transactions on Neural Networks and Learning Systems
Year: 2024 | Volume: 35, Issue: 7 | Journal Article |
Cited by: Papers (22)
This article develops a distributed fault-tolerant consensus control (DFTCC) approach for multiagent systems by using adaptive dynamic programming. By establishing a local fault observer, the potential actuator faults of each agent are estimated. Subsequently, the DFTCC problem is transformed into an optimal consensus control problem by designing a novel local value function for each agent which c...Show More

Distributed Fault Tolerant Consensus Control of Nonlinear Multiagent Systems via Adaptive Dynamic Programming

Yongwei Zhang;Bo Zhao;Derong Liu;Shunchao Zhang

Year: 2024 | Volume: 35, Issue: 7 | Journal Article |

A review of neural network-based gait recognition

Jinxiang Pian;Tingyu He;Shunchao Zhang

2023 35th Chinese Control and Decision Conference (CCDC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
This paper is a comprehensive and structured introduction to existing neural network-based gait recognition methods. It begins with an overall introduction to gait recognition in the first part, which describes the advantages of gait recognition. Application areas. In the second part, the development of gait recognition and the evolution of deep learning in gait recognition are introduced. The thi...Show More

A review of neural network-based gait recognition

Jinxiang Pian;Tingyu He;Shunchao Zhang

Year: 2023 | Conference Paper |

Optimal Drug Dosage Control Strategy of Immune Systems Using Reinforcement Learning

Lin Chen;Yong-Wei Zhang;Shun-Chao Zhang

IEEE Access
Year: 2023 | Volume: 11 | Journal Article |
Cited by: Papers (2)
In this article, a reinforcement learning-based drug dosage control strategy is developed for immune systems with input constraints and dynamic uncertainties to sustain the number of tumor and immune cells in an acceptable level. First of all, the state of the immune system and the desired number of tumor and immune cells are constructed into an augmented state to derive an augmented immune system...Show More

Optimal Drug Dosage Control Strategy of Immune Systems Using Reinforcement Learning

Lin Chen;Yong-Wei Zhang;Shun-Chao Zhang

Year: 2023 | Volume: 11 | Journal Article |

Adaptive Dynamic Programming-Based Event-Triggered Robust Control for Multiplayer Nonzero-Sum Games With Unknown Dynamics

Yongwei Zhang;Bo Zhao;Derong Liu;Shunchao Zhang

IEEE Transactions on Cybernetics
Year: 2023 | Volume: 53, Issue: 8 | Journal Article |
Cited by: Papers (38)
In this article, the event-triggered robust control of unknown multiplayer nonlinear systems with constrained inputs and uncertainties is investigated by using adaptive dynamic programming. To relax the requirement of system dynamics, a neural network-based identifier is constructed by using the system input-output data. Subsequently, by designing a nonquadratic value function, which contains the ...Show More

Adaptive Dynamic Programming-Based Event-Triggered Robust Control for Multiplayer Nonzero-Sum Games With Unknown Dynamics

Yongwei Zhang;Bo Zhao;Derong Liu;Shunchao Zhang

Year: 2023 | Volume: 53, Issue: 8 | Journal Article |

Multi-Player Robust Control of Stackelberg Games via Adaptive Dynamic Programming

Yongwei Zhang;Shunchao Zhang;Bo Zhao;Derong Liu

2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
In this paper, the hierarchical optimization problem of multi-player systems with matched uncertainties is investigated via adaptive dynamic programming. In the hierarchical optimization problem, there exist one leader and multiple followers, the leader chooses a policy in advance based on the actions of the followers, and the followers make optimal responses to the leader's policy. The optimal po...Show More

Multi-Player Robust Control of Stackelberg Games via Adaptive Dynamic Programming

Yongwei Zhang;Shunchao Zhang;Bo Zhao;Derong Liu

Year: 2022 | Conference Paper |

Event-Triggered Robust Control for Fully Cooperative Games of Uncertain Nonlinear Multi-player Systems

Shunchao Zhang;Derong Liu;Yongwei Zhang;Bo Zhao

2022 IEEE International Conference on Mechatronics and Automation (ICMA)
Year: 2022 | Conference Paper |
This paper develops an adaptive dynamic programming-based event-triggered robust control method for fully cooperative games of nonlinear multi-player systems with uncertainties. By designing a modified value function, the robust control problem is transformed into a fully cooperative (FC) game of the nominal system. Then, a critic neural network is constructed to solve the Hamilton-Jacobi-Bellman ...Show More

Event-Triggered Robust Control for Fully Cooperative Games of Uncertain Nonlinear Multi-player Systems

Shunchao Zhang;Derong Liu;Yongwei Zhang;Bo Zhao

Year: 2022 | Conference Paper |

Event-Triggered Control of Discrete-Time Zero-Sum Games via Deterministic Policy Gradient Adaptive Dynamic Programming

Yongwei Zhang;Bo Zhao;Derong Liu;Shunchao Zhang

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2022 | Volume: 52, Issue: 8 | Journal Article |
Cited by: Papers (67)
In order to address zero-sum game problems for discrete-time (DT) nonlinear systems, this article develops a novel event-triggered control (ETC) approach based on the deterministic policy gradient (PG) adaptive dynamic programming (ADP) algorithm. By adopting the input and output data, the proposed ETC method updates the control law and the disturbance law with a gradient descent algorithm. Compar...Show More

Event-Triggered Control of Discrete-Time Zero-Sum Games via Deterministic Policy Gradient Adaptive Dynamic Programming

Yongwei Zhang;Bo Zhao;Derong Liu;Shunchao Zhang

Year: 2022 | Volume: 52, Issue: 8 | Journal Article |

Riemannian Mean Shift-Based Data Fusion Scheme for Multi-Antenna Cooperative Spectrum Sensing

Yongwei Zhang;Shunchao Zhang;Yonghua Wang;Jiawei Zhuang;Pin Wan

IEEE Transactions on Cognitive Communications and Networking
Year: 2022 | Volume: 8, Issue: 1 | Journal Article |
Cited by: Papers (13)
In this article, the multi-antenna cooperative spectrum sensing problem in cognitive radio networks is investigated over Riemannian manifold. At the beginning, a signal matrix is constructed by using the sensing signals from secondary users (SUs) and the corresponding covariance matrix is calculated. Subsequently, the covariance matrices are transmitted to the fusion center and mapped to points on...Show More

Riemannian Mean Shift-Based Data Fusion Scheme for Multi-Antenna Cooperative Spectrum Sensing

Yongwei Zhang;Shunchao Zhang;Yonghua Wang;Jiawei Zhuang;Pin Wan

Year: 2022 | Volume: 8, Issue: 1 | Journal Article |

Riemannian Distance-Based Fast K-Medoids Clustering Algorithm for Cooperative Spectrum Sensing

Shunchao Zhang;Yonghua Wang;Yongwei Zhang;Pin Wan;Jiawei Zhuang

IEEE Systems Journal
Year: 2022 | Volume: 16, Issue: 1 | Journal Article |
Cited by: Papers (16)
Spectrum sensing is a fundamental component in a cognitive radio network to utilize the frequency bands effectively. In this article a fast Riemannian distance-based K-medoids (FRDK)-based cooperative spectrum sensing (CSS) method is developed to identify the state of primary user (PU). In particular, two CSS scenarios are considered, one is secondary users (SUs) with a single antenna and the othe...Show More

Riemannian Distance-Based Fast K-Medoids Clustering Algorithm for Cooperative Spectrum Sensing

Shunchao Zhang;Yonghua Wang;Yongwei Zhang;Pin Wan;Jiawei Zhuang

Year: 2022 | Volume: 16, Issue: 1 | Journal Article |

Observer-Based Event-Triggered Tracking Control of Multi-Player Nonlinear Systems via Adaptive Dynamic Programming

Yongwei Zhang;Shunchao Zhang;Derong Liu;Bo Zhao;Mingduo Lin

2021 China Automation Congress (CAC)
Year: 2021 | Conference Paper |
This paper investigates event-triggered optimal tracking control (OTC) problems of unknown nonlinear multiplayer systems by using adaptive dynamic programming. To begin with, a neural network-based observer is constructed to obtain the unknown system dynamics. By establishing an augmented system and designing a discount performance index function, the OTC problem is transformed to an optimal regul...Show More

Observer-Based Event-Triggered Tracking Control of Multi-Player Nonlinear Systems via Adaptive Dynamic Programming

Yongwei Zhang;Shunchao Zhang;Derong Liu;Bo Zhao;Mingduo Lin

Year: 2021 | Conference Paper |

Event-Triggered Robust Control for Uncertain Nonlinear Systems with Input Constraints

Shunchao Zhang;Derong Liu;Yongwei Zhang;Bo Zhao

2021 6th International Conference on Robotics and Automation Engineering (ICRAE)
Year: 2021 | Conference Paper |
In this paper, an event-triggered robust control (ETRC) method is developed for input-constrained nonlinear systems with uncertainties in both the internal dynamics and the input matrix by using adaptive dynamic programming (ADP) technique. The ETRC problem is transformed into an event-triggered optimal regulation problem by constructing a modified value function composed of the regulation, the co...Show More

Event-Triggered Robust Control for Uncertain Nonlinear Systems with Input Constraints

Shunchao Zhang;Derong Liu;Yongwei Zhang;Bo Zhao

Year: 2021 | Conference Paper |

Event-Triggered Control of Multi-Player Zero-Sum Games via Adaptive Dynamic Programming

Yongwei Zhang;Shunchao Zhang;Bo Zhao;Qiuye Wu;Derong Liu

2021 3rd International Conference on Industrial Artificial Intelligence (IAI)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
This paper investigates zero-sum game problems of nonlinear multi-player systems by using adaptive dynamic programming-based event-triggered control method. To begin with, a cost function which contains all the control inputs and the disturbance is designed. For the purpose of reducing the computation and communication burdens, a novel triggering condition which is suitable to multiple controllers...Show More

Event-Triggered Control of Multi-Player Zero-Sum Games via Adaptive Dynamic Programming

Yongwei Zhang;Shunchao Zhang;Bo Zhao;Qiuye Wu;Derong Liu

Year: 2021 | Conference Paper |

Observer-based Event-triggered Robust Control for Input Constrained Uncertain Nonlinear Systems

Shunchao Zhang;Derong Liu;Yongwei Zhang;Bo Zhao

2021 36th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
In this paper, we propose an adaptive dynamic programming (ADP)-based event-triggered robust control (ETRC) method for continuous-time input constrained nonlinear systems with uncertainties. By constructing a neural network (NN) observer, the estimated uncertainties are employed to design a novel value function, which reflects the real-time uncertainties, regulation and control input simultaneousl...Show More

Observer-based Event-triggered Robust Control for Input Constrained Uncertain Nonlinear Systems

Shunchao Zhang;Derong Liu;Yongwei Zhang;Bo Zhao

Year: 2021 | Conference Paper |

A Novel Clustering Algorithm Based on Information Geometry for Cooperative Spectrum Sensing

Shunchao Zhang;Yonghua Wang;Yongwei Zhang;Pin Wan;Jiawei Zhuang

IEEE Systems Journal
Year: 2021 | Volume: 15, Issue: 2 | Journal Article |
Cited by: Papers (11)
Spectrum sensing is used to detect whether primary user are using authorized spectrums, which can be regarded as a key and core issue for opportunistic spectrum access in cognitive radio networks. In traditional information theory and clustering algorithm-based spectrum sensing methods, they need to evaluate noise environment for constructing a reference point. However, the reference point is fixe...Show More

A Novel Clustering Algorithm Based on Information Geometry for Cooperative Spectrum Sensing

Shunchao Zhang;Yonghua Wang;Yongwei Zhang;Pin Wan;Jiawei Zhuang

Year: 2021 | Volume: 15, Issue: 2 | Journal Article |

Model-Free Control of Time-Delay Systems via Policy Gradient Based Adaptive Learning Algorithm

Yongwei Zhang;Shunchao Zhang;Bo Zhao;Derong Liu

2020 2nd International Conference on Industrial Artificial Intelligence (IAI)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
This paper develops a model-free optimal control scheme for discrete-time nonlinear systems with time-delays by using the policy gradient based adaptive learning (PGAL) algorithm. By using the measured data, the PGAL algorithm is employed to design an optimal controller for discrete-time systems. Compared with the traditional adaptive dynamic programming algorithms, the proposed method is a data-b...Show More

Model-Free Control of Time-Delay Systems via Policy Gradient Based Adaptive Learning Algorithm

Yongwei Zhang;Shunchao Zhang;Bo Zhao;Derong Liu

Year: 2020 | Conference Paper |

Information Geometry-Based Fuzzy-C Means Algorithm for Cooperative Spectrum Sensing

Yongwei Zhang;Canfeng Ma;Yonghua Wang;Shunchao Zhang;Pin Wan

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (11)
In this paper, the spectrum sensing problem is investigated under the context of information geometry and a novel clustering algorithm based spectrum sensing scheme is developed to obtain a classifier to estimate the channel state of primary user (PU). In order to enhance the sensing performance at complex environment, the empirical mode decomposition (EMD) algorithm is applied to wipe off the noi...Show More

Information Geometry-Based Fuzzy-C Means Algorithm for Cooperative Spectrum Sensing

Yongwei Zhang;Canfeng Ma;Yonghua Wang;Shunchao Zhang;Pin Wan

Year: 2020 | Volume: 8 | Journal Article |

Clustering Algorithm-Based Data Fusion Scheme for Robust Cooperative Spectrum Sensing

Shunchao Zhang;Yonghua Wang;Pin Wan;Jiawei Zhuang;Yongwei Zhang;Yi Li

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (22)
In a centralized cooperative spectrum sensing (CSS) system, it is vulnerable to malicious users (MUs) sending fraudulent sensing data, which can severely degrade the performance of CSS system. To solve this problem, we propose sensing data fusion schemes based on K-medoids and Mean-shift clustering algorithms to resist the MUs sending fraudulent sensing data in this paper. The cognitive users (CUs...Show More

Clustering Algorithm-Based Data Fusion Scheme for Robust Cooperative Spectrum Sensing

Shunchao Zhang;Yonghua Wang;Pin Wan;Jiawei Zhuang;Yongwei Zhang;Yi Li

Year: 2020 | Volume: 8 | Journal Article |

A Multi-Antenna Spectrum Sensing Scheme Based on Main Information Extraction and Genetic Algorithm Clustering

Jiawei Zhuang;Yonghua Wang;Shunchao Zhang;Pin Wan;Chenhao Sun

IEEE Access
Year: 2019 | Volume: 7 | Journal Article |
Cited by: Papers (21)
Spectrum sensing is an indispensable technology for cognitive radio networks, which enables secondary users (SUs) to discover spectrum holes and to opportunistically use under-utilized channels without causing interference to primary users. Aim at improving the sensing performance, a multi-antenna spectrum sensing scheme based on main information extraction and genetic algorithm clustering (MIEGAC...Show More

A Multi-Antenna Spectrum Sensing Scheme Based on Main Information Extraction and Genetic Algorithm Clustering

Jiawei Zhuang;Yonghua Wang;Shunchao Zhang;Pin Wan;Chenhao Sun

Year: 2019 | Volume: 7 | Journal Article |

A spectrum sensing algorithm based on correlation coefficient and K-means

Yi Li;Yonghua Wang;Pin Wan;Shunchao Zhang;Yongwei Zhang;Tianyu Zhao

2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
In order to improve the detection probability in the environment of low signal-to-noise ratio (SNR), and solving the problem of complex threshold derivation in traditional spectrum sensing technology, the improved spectrum sensing method is proposed in this paper. Firstly, the signal received by each secondary user is decomposed and recombined (DAR). Then the correlation coefficient (CC) based on ...Show More

A spectrum sensing algorithm based on correlation coefficient and K-means

Yi Li;Yonghua Wang;Pin Wan;Shunchao Zhang;Yongwei Zhang;Tianyu Zhao

Year: 2019 | Conference Paper |

A Cooperative Spectrum Sensing Method Based on a Feature and Clustering Algorithm

Yonghua Wang;Yongwei Zhang;Shunchao Zhang;Xingcheng Li;Pin Wan

2018 Chinese Automation Congress (CAC)
Year: 2018 | Conference Paper |
Cited by: Papers (10)
In order to improve the spectrum sensing performance, we propose a cooperative spectrum sensing method based on a feature and clustering algorithm in the case of a small number of secondary users participating in cooperative spectrum sensing. This method introduces order decomposition and recombination and interval decomposition and recombination based on stochastic matrix, which can increases the...Show More

A Cooperative Spectrum Sensing Method Based on a Feature and Clustering Algorithm

Yonghua Wang;Yongwei Zhang;Shunchao Zhang;Xingcheng Li;Pin Wan

Year: 2018 | Conference Paper |

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