The following publications are possibly variants of this publication:
- Generalized predictive control of DEAP actuator based on RBFNeural Network, Zhaoguo Jiang, Qinglin Wang, Yuan Li. ascc 2017: 1632-1637 [doi]
- Adversarial robustness of deep neural networks: A survey from a formal verification perspectiveMeng, Mark Huasong, Bai, Guangdong, Teo, Sin Gee, Hou, Zhe, Xiao, Yan, Lin, Yun, Dong, Jin Song. IEEE Transactions on Dependable and Secure Computing, , 2022.
- Inverse dynamics modelling and tracking control of conical dielectric elastomer actuator based on GRU neural networkYue Zhang, Jundong Wu, Peng Huang, Chun-Yi Su, Yawu Wang. eaai, 118:105668, 2023. [doi]
- Dynamic Modeling and Tracking Control for Dielectric Elastomer Actuator With a Model Predictive ControllerPeng Huang, Jundong Wu, Pan Zhang, Yawu Wang, Chun-Yi Su. tie, 69(2):1819-1828, 2022. [doi]
- Balloon actuators based on the dielectric elastomerHui Zhang, Yingxi Wang, Jian Zhu, Zhisheng Zhang. icit2 2017: 654-658 [doi]
- Modeling of viscoelastic dielectric elastomer actuators based on the sparse identification methodJisen Li, Hao Wang, Jian Zhu 0005. icra 2022: 3252-3258 [doi]
- A Physics-based and Control-oriented Model for Dielectric Elastomer Tubular ActuatorTheophilus Kaaya, Shengbin Wang, Marzia Cescon, Zheng Chen. amcc 2021: 4472-4477 [doi]