Taotao Hu

dblp:179/7297 · DBLP profile ↗
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12ranked-venue papers
8as first author
10since 2021 · last 2025
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 3 first-author · 3 since 2021Databases, data management, data science and information retrieval · 4 · 3 first-author · 4 since 2021Human-computer interaction and ubiquitous computing · 2 · 2 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
YearPublicationVenuePosition
2025 Hybrid Event-Triggered and Impulsive Security Consensus Control Strategy for Fractional-Order Multiagent Systems With Cyber Attacks
abstract
This article investigates the security consensus problem for fractional-order multiagent systems (FOMASs) with cyber attacks via the hybrid event-triggered and impulsive control strategy. First, based on the destructive characteristics of network attacks on communication channels, a method for separating partial network structures is proposed. Differing from other studies of multiagent systems, it considers here that the communication topological network consists of strong channel and weak channel networks, and its connectivity is not required. Then, to overcome bandwidth constraints, a new hybrid event-triggered and impulsive security consensus control approach is first designed, which only needs to detect the sampled data at instants of cyber attacks and impulse. Furthermore, applying the fractional Lyapunov stability analysis methods, several sufficient conditions are proposed to achieve the exponential consensus for FOMASs with cyber attacks. Meanwhile, some parameters in security consensus control protocol are acquired. Finally, from the perspective of numerical simulation visualization, the rationality and correctness of the proposed consensus security control method are verified.
Taotao Hu, Qiankun Song, Kaibo Shi
IEEE Trans. Syst. Man Cybern. Syst.1
2024 Secure intermittent impulsive consensus control for fractional-order multiagent systems under denial-of-service and deception attacks
Taotao Hu, Kaibo Shi
Inf. Sci.1
2024 A Quasi-Disturbance Current-Based Droop Control Strategy for Enhancing Voltage Robustness of Islanded AC Microgrid
abstract
The voltage distortion caused by the nonlinear load seriously threatens the safe and stable operation of the droop control-based islanded ac microgrid. To address this issue, a quasi-disturbance current-based voltage robustness control strategy of the inverter-based distributed generator (DG) is proposed, which does not need any filters to extract harmonics. By feedforwarding a quasi-disturbance current in current loop, the voltage robustness of the islanded ac microgrid can be significantly enhanced under load disturbance. In addition, based on the impedance method, the impedance model of the improved DG is built and the voltage robustness of the islanded ac microgrid is analyzed from the perspective of impedance. In the middle-frequency band, the impedance of the DG controlled by the proposed control strategy is obviously smaller than that of the classical DG, which makes the optimized DG more like an ideal voltage source and thus improves the voltage robustness of the islanded ac microgrid. Compared with the traditional harmonic suppression methods, the proposed method is simpler and can suppress time-varying harmonics in the middle-frequency band. Finally, the theoretical analysis and the proposed control strategy are verified with the simulation and experimental study.
Taotao Hu, Xiao Liu 0007
IEEE Trans. Ind. Informatics2
2022 Fixed-time synchronization of fractional-order complex-valued neural networks with time-varying delay via sliding mode control
Yali Cheng, Taotao Hu, Wenbo Xu 0004, Shouming Zhong
Neurocomputing2
2022 Adaptive fuzzy control for quasi-synchronization of uncertain complex dynamical networks with time-varying topology via event-triggered communication strategy
Taotao Hu, Zheng He 0002, Shouming Zhong, Kaibo Shi, Yaoyi Zhang
Inf. Sci.1
2022 Hybrid Event-Triggered and Impulsive Control Strategy for Multiagent Systems With Switching Topologies
abstract
This article investigates the hybrid event-triggered and impulsive consensus problems for leaderless and leader-following multiagent systems (MASs) with switching topologies. Based on the state information of neighboring agents at event-triggered moments and impulsive instants, a hybrid event-triggered and impulsive control strategy (HETICS) is designed to reduce the communication frequency between neighboring agents and to ensure consensus of leaderless and leader-following MASs. By utilizing the Lyapunov direct method, some consensus criteria are obtained for leaderless and leader-following MASs with switching topologies. It is shown that the HETICS excludes the Zeno behavior. Several numerical examples and simulations are given to illustrate the effectiveness of the proposed consensus strategy and a comparison with previous consensus control methods is given.
Taotao Hu, Xinzhi Liu, Zheng He 0002, Shouming Zhong
IEEE Trans. Cybern.1
2022 Sampled-Data-Based Event-Triggered Synchronization Strategy for Fractional and Impulsive Complex Networks With Switching Topologies and Time-Varying Delay
abstract
In this article, the sampled-data-based event-triggered synchronization control for fractional and impulsive complex networks (CNs) with time-varying delay is investigated and a class of more general network structure based on the switching topologies at impulsive instants is considered. First, a class of novel fractional-order integral inequalities is produced to obtain depend-delay synchronization criteria and estimate Lyapunov–Krasovskii functions. Then, a sampled-data-based event-triggered control is designed, which can ensure synchronization of fractional and impulsive CNs (FICNs) with time-varying delay. Next, by using the Lyapunov direct method, some criteria are obtained to guarantee the synchronization of FICNs. Numerical simulations are given to demonstrate that the designed sampled-data-based event-triggered synchronization strategy can effectively not only achieve synchronization of FICNs but reduce the frequency of controller update compared to the previous related works.
Taotao Hu, Ju H. Park 0001, Xinzhi Liu, Zheng He 0002, Shouming Zhong
IEEE Trans. Syst. Man Cybern. Syst.1
2021 Consensus of fractional-order multi-agent systems with uncertain topological structure: A Takagi-Sugeno fuzzy event-triggered control strategy
Yali Cheng, Taotao Hu, Shouming Zhong
Fuzzy Sets Syst.2
2021 Delay-dependent consensus criteria for fractional-order Takagi-Sugeno fuzzy multi-agent systems with time delay
Yali Cheng, Taotao Hu, Shouming Zhong
Inf. Sci.2
2021 Event-triggered consensus strategy for uncertain topological fractional-order multiagent systems based on Takagi-Sugeno fuzzy models
Taotao Hu, Zheng He 0002, Shouming Zhong
Inf. Sci.1
2019 Global synchronization of time-invariant uncertainty fractional-order neural networks with time delay
Taotao Hu, Zheng He 0002, Shouming Zhong
Neurocomputing1
2018 Global asymptotic synchronization of nonidentical fractional-order neural networks
Taotao Hu, Shouming Zhong
Neurocomputing1