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ORCIDYongchao Liu 0002
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2020 – today
- 2026
[j31]Mingde Liu, Liang Zhang
, Ning Zhao, Xinjun Wang, Yongchao Liu:
Observer-based reachable set synthesis for multi-agent systems: A sampling-based distributed event-triggered strategy. Appl. Math. Comput. 510: 129683 (2026)- [j30]Yihui Xu, Yongchao Liu, Ning Zhao, Kalidass Mathiyalagan:
Observer-based event-triggered formation control for connected vehicles under DoS attacks. Math. Comput. Simul. 240: 920-937 (2026) - 2025
- [j29]Di Lun, Huiyan Zhang, Yongchao Liu, Ning Zhao, Wudhichai Assawinchaichote:
Event-Based Finite-Time L2 Filter Design for Networked Interconnected Fuzzy Systems Under Denial-of-Service Attacks. Int. J. Fuzzy Syst. 27(2): 433-450 (2025) - [j28]Yihui Xu, Huiyan Zhang, Yongchao Liu, Ning Zhao, Imre J. Rudas:
DoS-resilient event-triggering control of connected vehicles: An attack-parameter-dependent functional method. Inf. Sci. 712: 122118 (2025) - [j27]Di Lun, Huiyan Zhang, Yongchao Liu, Ning Zhao, Wudhichai Assawinchaichote:
Improved event-based fault detection filter for networked fuzzy systems under DoS attacks. Signal Process. 227: 109699 (2025) - 2024
- [j26]Yongjie Tian, Huiyan Zhang, Yongchao Liu, Ning Zhao, Kalidass Mathiyalagan:
Event-triggered adaptive secure tracking control for nonlinear cyber-physical systems against unknown deception attacks. Math. Comput. Simul. 221: 79-93 (2024) - [j25]Yongchao Liu, Bowen Zeng, Haiyu Wang:
Dynamic event-triggered adaptive control for state-constrained strict-feedback nonlinear systems with guaranteed feasibility conditions. Neural Comput. Appl. 36(28): 17689-17697 (2024) - [j24]Ning Zhao, Dongke Zhao, Yongchao Liu:
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks. Neural Networks 174: 106249 (2024) - [j23]Yaxin An, Yongchao Liu:
Observer-based dynamic event-triggered adaptive control for uncertain nonlinear strict-feedback systems. Syst. Control. Lett. 183: 105700 (2024) - [j22]Daohui Zeng, Bowen Zeng, Yongchao Liu, Jie Zhao, Chengtao Cai:
Practical Prescribed-Time Trajectory Tracking Control for Marine Surface Vehicles. IEEE Trans. Circuits Syst. II Express Briefs 71(12): 4899-4903 (2024) - 2023
- [j21]Yongchao Liu, Qidan Zhu, Xing Fan:
Event-triggered adaptive fuzzy control for stochastic nonlinear time-delay systems. Fuzzy Sets Syst. 452: 42-60 (2023) - [j20]Yongchao Liu, Qidan Zhu, Xing Fan, Lipeng Wang:
Neural network-based adaptive asymptotic tracking of nonstrict feedback nonlinear systems with state constraints. Int. J. Control 96(2): 321-331 (2023) - [j19]Guibing Zhu, Yongchao Liu:
Dynamic event-triggered adaptive neural control for MIMO nonlinear systems via a single parameter learning method. Inf. Sci. 635: 195-207 (2023) - [j18]Yongchao Liu, Bowen Zeng, Qidan Zhu, Lipeng Wang:
Adaptive fuzzy asymptotic control design for MIMO nonlinear systems with state constraints. J. Control. Decis. 10(4): 610-623 (2023) - [j17]Guoxing Wen, Yongchao Liu:
Tracking control based on adaptive Bernstein polynomial approximation for a class of unknown nonlinear dynamic systems. J. Frankl. Inst. 360(7): 5082-5091 (2023) - [j16]Yongchao Liu, Qidan Zhu:
Event-triggered adaptive fuzzy asymptotic control design for uncertain stochastic nonlinear systems. Trans. Inst. Meas. Control 45(11): 2168-2181 (2023) - [j15]Yongchao Liu, Qidan Zhu:
Event-Triggered Adaptive Neural Network Control for Stochastic Nonlinear Systems With State Constraints and Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1932-1944 (2023) - 2022
- [j14]Yongchao Liu, Qidan Zhu:
Event-Triggered Adaptive Fuzzy Tracking Control for Uncertain Nonlinear Systems with Time-Delay and State Constraints. Circuits Syst. Signal Process. 41(2): 636-660 (2022) - [j13]Yongchao Liu, Qidan Zhu:
Adaptive fuzzy asymptotic control for switched nonlinear systems with state constraints. Int. J. Syst. Sci. 53(5): 922-933 (2022) - [j12]Yongchao Liu, Qidan Zhu:
Adaptive neural network asymptotic control design for MIMO nonlinear systems based on event-triggered mechanism. Inf. Sci. 603: 91-105 (2022) - [j11]Yongchao Liu, Qidan Zhu, Zixuan Liu:
Event-based adaptive neural network asymptotic control design for nonstrict feedback nonlinear system with state constraints. Neural Comput. Appl. 34(17): 14451-14462 (2022) - [j10]Yongchao Liu, Qidan Zhu:
Adaptive Fuzzy Finite-Time Control for Nonstrict-Feedback Nonlinear Systems. IEEE Trans. Cybern. 52(10): 10420-10429 (2022) - [j9]Yongchao Liu, Qidan Zhu, Guoxing Wen:
Adaptive Tracking Control for Perturbed Strict-Feedback Nonlinear Systems Based on Optimized Backstepping Technique. IEEE Trans. Neural Networks Learn. Syst. 33(2): 853-865 (2022) - 2021
- [j8]Yongchao Liu, Qidan Zhu:
Adaptive fuzzy event-triggered control for nonstrict-feedback switched stochastic nonlinear systems with state constraints. Int. J. Syst. Sci. 52(14): 2889-2903 (2021) - [j7]Yongchao Liu, Qidan Zhu:
Neural network-based asymptotic tracking control design for stochastic nonlinear systems. Int. J. Syst. Sci. 52(14): 2947-2960 (2021) - [j6]Yongchao Liu, Qidan Zhu, Ning Zhao, Lipeng Wang:
Fuzzy approximation-based adaptive finite-time control for nonstrict feedback nonlinear systems with state constraints. Inf. Sci. 548: 101-117 (2021) - [j5]Yongchao Liu, Qidan Zhu, Ning Zhao:
Event-triggered adaptive fuzzy control for switched nonlinear systems with state constraints. Inf. Sci. 562: 28-43 (2021) - [j4]Yongchao Liu, Qidan Zhu, Ning Zhao, Lipeng Wang:
Adaptive fuzzy backstepping control for nonstrict feedback nonlinear systems with time-varying state constraints and backlash-like hysteresis. Inf. Sci. 574: 606-624 (2021) - [j3]Yongchao Liu, Qidan Zhu:
Adaptive neural network asymptotic tracking control for nonstrict feedback stochastic nonlinear systems. Neural Networks 143: 283-290 (2021) - [c1]Yongchao Liu, Qidan Zhu:
Adaptive Neural Network Asymptotic Tracking for Nonstrict-Feedback Switched Nonlinear Systems. SPAC 2021: 25-30 - 2020
- [j2]Qidan Zhu, Yongchao Liu, Guoxing Wen:
Adaptive neural network control for time-varying state constrained nonlinear stochastic systems with input saturation. Inf. Sci. 527: 191-209 (2020) - [j1]Yongchao Liu, Qidan Zhu:
Adaptive neural network finite-time tracking control of full state constrained pure feedback stochastic nonlinear systems. J. Frankl. Inst. 357(11): 6738-6759 (2020)
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