Yongchao Liu
Orcid: 0000-0001-8455-2985
According to our database1,
Yongchao Liu
authored at least 33 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Observer-based event-triggered formation control for connected vehicles under DoS attacks.
Math. Comput. Simul., 2026
Observer-based reachable set synthesis for multi-agent systems: A sampling-based distributed event-triggered strategy.
Appl. Math. Comput., 2026
2025
Dynamic Event-Triggered Adaptive Neural Practical Predefined-Time Control for Uncertain Nonlinear Systems With Unknown Control Directions.
IEEE Trans. Syst. Man Cybern. Syst., November, 2025
Event-Based Finite-Time L<sub>2</sub> Filter Design for Networked Interconnected Fuzzy Systems Under Denial-of-Service Attacks.
Int. J. Fuzzy Syst., March, 2025
Improved event-based fault detection filter for networked fuzzy systems under DoS attacks.
Signal Process., 2025
DoS-resilient event-triggering control of connected vehicles: An attack-parameter-dependent functional method.
Inf. Sci., 2025
2024
IEEE Trans. Circuits Syst. II Express Briefs, December, 2024
Dynamic event-triggered adaptive control for state-constrained strict-feedback nonlinear systems with guaranteed feasibility conditions.
Neural Comput. Appl., October, 2024
Observer-based dynamic event-triggered adaptive control for uncertain nonlinear strict-feedback systems.
Syst. Control. Lett., 2024
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks.
Neural Networks, 2024
Event-triggered adaptive secure tracking control for nonlinear cyber-physical systems against unknown deception attacks.
Math. Comput. Simul., 2024
2023
Dynamic event-triggered adaptive neural control for MIMO nonlinear systems via a single parameter learning method.
Inf. Sci., July, 2023
Event-Triggered Adaptive Neural Network Control for Stochastic Nonlinear Systems With State Constraints and Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., April, 2023
Neural network-based adaptive asymptotic tracking of nonstrict feedback nonlinear systems with state constraints.
Int. J. Control, February, 2023
Event-triggered adaptive fuzzy asymptotic control design for uncertain stochastic nonlinear systems.
Trans. Inst. Meas. Control, 2023
Tracking control based on adaptive Bernstein polynomial approximation for a class of unknown nonlinear dynamic systems.
J. Frankl. Inst., 2023
Adaptive fuzzy asymptotic control design for MIMO nonlinear systems with state constraints.
J. Control. Decis., 2023
Fuzzy Sets Syst., 2023
2022
Adaptive Tracking Control for Perturbed Strict-Feedback Nonlinear Systems Based on Optimized Backstepping Technique.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Cybern., 2022
Event-based adaptive neural network asymptotic control design for nonstrict feedback nonlinear system with state constraints.
Neural Comput. Appl., 2022
Adaptive neural network asymptotic control design for MIMO nonlinear systems based on event-triggered mechanism.
Inf. Sci., 2022
Adaptive fuzzy asymptotic control for switched nonlinear systems with state constraints.
Int. J. Syst. Sci., 2022
Event-Triggered Adaptive Fuzzy Tracking Control for Uncertain Nonlinear Systems with Time-Delay and State Constraints.
Circuits Syst. Signal Process., 2022
2021
Adaptive neural network asymptotic tracking control for nonstrict feedback stochastic nonlinear systems.
Neural Networks, 2021
Adaptive fuzzy backstepping control for nonstrict feedback nonlinear systems with time-varying state constraints and backlash-like hysteresis.
Inf. Sci., 2021
Fuzzy approximation-based adaptive finite-time control for nonstrict feedback nonlinear systems with state constraints.
Inf. Sci., 2021
Event-triggered adaptive fuzzy control for switched nonlinear systems with state constraints.
Inf. Sci., 2021
Neural network-based asymptotic tracking control design for stochastic nonlinear systems.
Int. J. Syst. Sci., 2021
Adaptive fuzzy event-triggered control for nonstrict-feedback switched stochastic nonlinear systems with state constraints.
Int. J. Syst. Sci., 2021
Adaptive Neural Network Asymptotic Tracking for Nonstrict-Feedback Switched Nonlinear Systems.
Proceedings of the 2021 International Conference on Security, 2021
2020
Adaptive neural network finite-time tracking control of full state constrained pure feedback stochastic nonlinear systems.
J. Frankl. Inst., 2020
Adaptive neural network control for time-varying state constrained nonlinear stochastic systems with input saturation.
Inf. Sci., 2020