| Resilient distributed event-triggered platooning control of connected vehicles under denial-of-service attacks N Zhao, X Zhao, M Chen, G Zong, H Zhang IEEE Transactions on Intelligent Transportation Systems 24 (6), 6191-6202, 2023 | 77 | 2023 |
| A nonlinear observer-based approach to robust cooperative tracking for heterogeneous spacecraft attitude control and formation applications B Wang, W Chen, B Zhang, P Shi, H Zhang IEEE Transactions on Automatic Control 68 (1), 400-407, 2023 | 76 | 2023 |
| Improved event-triggered dynamic output feedback control for networked T–S fuzzy systems with actuator failure and deception attacks H Zhang, N Zhao, S Wang, RK Agarwal IEEE Transactions on Cybernetics 53 (12), 7989-7999, 2023 | 75 | 2023 |
| Opportunistic capacity based resource allocation for 6G wireless systems with network slicing J Huang, F Yang, C Chakraborty, Z Guo, H Zhang, L Zhen, K Yu Future Generation Computer Systems 140, 390-401, 2023 | 70 | 2023 |
| Asynchronous adaptive fault-tolerant sliding-mode control for T–S fuzzy singular Markovian jump systems with uncertain transition rates M Li, X Chen, M Liu, Y Zhang, H Zhang IEEE Transactions on Cybernetics 52 (1), 544-555, 2020 | 64 | 2020 |
| Fuzzy-based adaptive event-triggered control for nonlinear cyber-physical systems against deception attacks via a single parameter learning method N Zhao, Y Tian, H Zhang, E Herrera-Viedma Information Sciences 657, 119948, 2024 | 53 | 2024 |
| Fault Detection for Systems With Model Uncertainty and Disturbance via Coprime Factorization and Gap Metric Y Wang, P He, P Shi, H Zhang IEEE Transactions on Cybernetics 52 (8), 7765-7775, 2021 | 38 | 2021 |
| Semi-global Periodic Event-triggered Output Regulation for Nonlinear Multi-agent Systems S Zheng, P Shi, H Zhang IEEE Transactions on Automatic Control 68 (1), 393-399, 2023 | 31 | 2023 |
| Model predictive control of distributed networked control systems with quantization and switching topology T Shi, P Shi, H Zhang International Journal of Robust and Nonlinear Control 30 (12), 4584-4599, 2020 | 30 | 2020 |
| Dissipative Output Feedback Control for Semi-Markovian Jump Systems under Hybrid Cyber-Attacks H Zhang, X He, LI Minchala, P Shi Journal of the Franklin Institute 358 (5), 2683-2702, 2021 | 28 | 2021 |
| Event-triggered interval Type-2 TS fuzzy control for nonlinear networked systems Q Lu, P Shi, L Wu, H Zhang Journal of the Franklin Institute 357 (14), 9834-9852, 2020 | 27 | 2020 |
| Balanced truncation approach to model reduction of Markovian jump time-varying delay systems H Zhang, L Wu, P Shi, Y Zhao Journal of the Franklin Institute 352 (10), 4205-4224, 2015 | 27 | 2015 |
| A novel optimal PID controller autotuning design based on the SLP algorithm J Pongfai, X Su, H Zhang, W Assawinchaichote Expert Systems 37 (2), e12489, 2019 | 26 | 2019 |
| Learning-based adaptive fuzzy output feedback control for MIMO nonlinear systems with deception attacks and input saturation N Zhao, Y Tian, H Zhang, E Herrera-Viedma IEEE Transactions on Fuzzy Systems 32 (5), 2850-2862, 2024 | 25 | 2024 |
| Observer-Based Sampled-Data Adaptive Tracking Control for Heterogeneous Nonlinear Multi-Agent Systems Under Denial-of-Service Attacks N Zhao, H Zhang, P Shi IEEE Transactions on Automation Science and Engineering 22, 4771-4779, 2024 | 24 | 2024 |
| A survey on instance segmentation: Recent advances and challenges H Zhang, H Sun, W Ao, G Dimirovski Int. J. Innov. Comput. Inf. Control 17 (3), 1041-1053, 2021 | 20 | 2021 |
| Adaptive Neural Dissipative Control for Markovian Jump Cyber-Physical Systems Against Sensor and Actuator Attacks H Zhang, Z Chen, N Zhao, B Xing, M Kalidass Journal of the Franklin Institute 360 (12), 7676–7698, 2023 | 19 | 2023 |
| PID Controller Autotuning Design by a Deterministic Q-SLP Algorithm J Pongfai, X Su, H Zhang, W Assawinchaichote IEEE Access 8, 50010-50021, 2020 | 19 | 2020 |
| Exponential synchronization of complex networks via feedback control and periodically intermittent noise X He, H Zhang Journal of the Franklin Institute 359 (8), 3614-3630, 2022 | 18 | 2022 |
| Model reduction on Markovian jump systems with partially unknown transition probabilities: balanced truncation approach H Zhang, L Wu, P Shi, Y Zhao IET Control Theory & Applications 9 (9), 1411-1421, 2015 | 17 | 2015 |
Peng ShiProfessor, School of Electrical and Mechanical Engineering, The University of Adelaide在 adelaide.edu.au 的电子邮件经过验证
