- Ding S, Peng J, Zhang H, Wang Y. Neural network-based adaptive hybrid impedance control for electrically driven flexible-joint robotic manipulators with input saturation. Neurocomputing. 2021;458:99-111.
- Pillai R, Sivathanu B, Mariani M, Rana NP, Yang B, Dwivedi YK. Adoption of AI-empowered industrial robots in auto component manufacturing companies. Production Planning & Control. 2022;33(16):1517-33.
- Yao W, Guo Y, Wu Y-F, Guo J. Robust Adaptive Dynamic Surface Control of Multi-link Flexible Joint Manipulator with Input Saturation. International Journal of Control, Automation and Systems. 2022;20(2):577-88.
- Caiza G, Garcia CA, Naranjo JE, Garcia MV. Flexible robotic teleoperation architecture for intelligent oil fields. Heliyon. 2020;6(4):e03833.
- Wang XV, Wang L. A literature survey of the robotic technologies during the COVID-19 pandemic. Journal of Manufacturing Systems. 2021;60:823-36.
- Belanche D, Casaló LV, Flavián C. Frontline robots in tourism and hospitality: service enhancement or cost reduction? Electronic Markets. 2021;31(3):477-92.
- Spong MW, Hutchinson S, Vidyasagar M. Robot modeling and control: John Wiley & Sons; 2020.
- Sai H, Xu Z, He S, Zhang E, Zhu L. Adaptive nonsingular fixed-time sliding mode control for uncertain robotic manipulators under actuator saturation. ISA Transactions. 2022;123:46-60.
- Min H, Xu S, Ma Q, Zhang B, Zhang Z. Composite-Observer-Based Output-Feedback Control for Nonlinear Time-Delay Systems With Input Saturation and Its Application. IEEE Transactions on Industrial Electronics. 2018;65(7):5856-63.
- Sun Y, Liu J, Gao Y, Liu Z, Zhao Y. Adaptive Neural Tracking Control for Manipulators With Prescribed Performance Under Input Saturation. IEEE/ASME Transactions on Mechatronics. 2023;28(2):1037-46.
- Shao K, Zheng J, Tang R, Li X, Man Z, Liang B. Barrier Function Based Adaptive Sliding Mode Control for Uncertain Systems With Input Saturation. IEEE/ASME Transactions on Mechatronics. 2022;27(6):4258-68.
- Yu Z, Qu Y, Zhang Y. Distributed Fault-Tolerant Cooperative Control for Multi-UAVs Under Actuator Fault and Input Saturation. IEEE Transactions on Control Systems Technology. 2019;27(6):2417-29.
- Zhu G, Ma Y, Li Z, Malekian R, Sotelo M. Event-Triggered Adaptive Neural Fault-Tolerant Control of Underactuated MSVs With Input Saturation. IEEE Transactions on Intelligent Transportation Systems. 2022;23(7):7045-57.
- Sun W, Wu Y, Lv X. Adaptive Neural Network Control for Full-State Constrained Robotic Manipulator With Actuator Saturation and Time-Varying Delays. IEEE Transactions on Neural Networks and Learning Systems. 2022;33(8):3331-42.
- Ouyang D, Shao J, Jiang H, Nguang SK, Shen HT. Impulsive synchronization of coupled delayed neural networks with actuator saturation and its application to image encryption. Neural Networks. 2020;128:158-71.
- Yuan Y, Wang Z, Yu Y, Guo L, Yang H. Active disturbance rejection control for a pneumatic motion platform subject to actuator saturation: An extended state observer approach. Automatica. 2019;107:353-61.
- Khamar M, Edrisi M, Forghany S. Designing a robust controller for a lower limb exoskeleton to treat an individual with crouch gait pattern in the presence of actuator saturation. ISA Transactions. 2022;126:513-32.
- Gerber MJ, Pettenkofer M, Hubschman J-P. Advanced robotic surgical systems in ophthalmology. Eye. 2020;34(9):1554-62.
- Chen T, Shan J, Wen H. Distributed Attitude Consensus of Multiple Flexible Spacecraft: Springer Nature; 2022.
- Qin H, Chen X, Sun Y. Adaptive state-constrained trajectory tracking control of unmanned surface vessel with actuator saturation based on RBFNN and tan-type barrier Lyapunov function. Ocean Engineering. 2022;253:110966.
- Kong L, He W, Yang W, Li Q, Kaynak O. Fuzzy Approximation-Based Finite-Time Control for a Robot With Actuator Saturation Under Time-Varying Constraints of Work Space. IEEE Transactions on Cybernetics. 2021;51(10):4873-84.
- Cai Z. ROBOTICS: From Manipulator to Mobilebot: World Scientific; 2022.
- Chang W, Tong S, Li Y. Adaptive fuzzy backstepping output constraint control of flexible manipulator with actuator saturation. Neural Computing and Applications. 2017;28(1):1165-75.
- Lyu X, Lin Z. PID Control of Planar Nonlinear Uncertain Systems in the Presence of Actuator Saturation. IEEE/CAA Journal of Automatica Sinica. 2022;9(1):90-8.
- Hu X, Wei X, Zhang H, Han J, Liu X. Robust adaptive tracking control for a class of mechanical systems with unknown disturbances under actuator saturation. International Journal of Robust and Nonlinear Control. 2019;29(6):1893-908.
- Shao K, Tang R, Xu F, Wang X, Zheng J. Adaptive sliding mode control for uncertain Euler–Lagrange systems with input saturation. Journal of the Franklin Institute. 2021;358(16):8356-76.
- Milovanović MB, Antić DS, Milojković MT, Spasić MD. Adaptive Control of Nonlinear MIMO System With Orthogonal Endocrine Intelligent Controller. IEEE Transactions on Cybernetics. 2022;52(2):1221-32.
- Qin J, Du J. Minimum-learning-parameter-based adaptive finite-time trajectory tracking event-triggered control for underactuated surface vessels with parametric uncertainties. Ocean Engineering. 2023;271:113634.
- Moayedi H, Mosallanezhad M, Rashid ASA, Jusoh WAW, Muazu MA. A systematic review and meta-analysis of artificial neural network application in geotechnical engineering: theory and applications. Neural Computing and Applications. 2020;32(2):495-518.
- Gholipour R, Fateh MM. Robust Control of Robotic Manipulators in the Task-Space Using an Adaptive Observer Based on Chebyshev Polynomials. Journal of Systems Science and Complexity. 2020;33(5):1360-82.
- Wang Z, Fei J. Fractional-Order Terminal Sliding-Mode Control Using Self-Evolving Recurrent Chebyshev Fuzzy Neural Network for MEMS Gyroscope. IEEE Transactions on Fuzzy Systems. 2022;30(7):2747-58.
- Marugán AP, Márquez FPG, Perez JMP, Ruiz-Hernández D. A survey of artificial neural network in wind energy systems. Applied Energy. 2018;228:1822-36.
- Ametrano CG, Knudsen K, Kocourková J, Grube M, Selbmann L, Muggia L. Phylogenetic relationships of rock-inhabiting black fungi belonging to the widespread genera Lichenothelia and Saxomyces. Mycologia. 2019;111(1):127-60.
- Chittora P, Singh A, Singh M. Chebyshev Functional Expansion Based Artificial Neural Network Controller for Shunt Compensation. IEEE Transactions on Industrial Informatics. 2018;14(9):3792-800.
- Hu Y, Yan H, Zhang H, Wang M, Zeng L. Robust Adaptive Fixed-Time Sliding-Mode Control for Uncertain Robotic Systems With Input Saturation. IEEE Transactions on Cybernetics. 2023;53(4):2636-46.
- Zhang S, Yang P, Kong L, Chen W, Fu Q, Peng K. Neural Networks-Based Fault Tolerant Control of a Robot via Fast Terminal Sliding Mode. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2021;51(7):4091-101.
- Baek J, Jin M, Han S. A New Adaptive Sliding-Mode Control Scheme for Application to Robot Manipulators. IEEE Transactions on Industrial Electronics. 2016;63(6):3628-37.
- Yu X, Feng Y, Man Z. Terminal Sliding Mode Control – An Overview. IEEE Open Journal of the Industrial Electronics Society. 2021;2:36-52.
- Yao Q. Adaptive trajectory tracking control of a free-flying space manipulator with guaranteed prescribed performance and actuator saturation. Acta Astronautica. 2021;185:283-98.
- Purwar S, Kar IN, Jha AN. On-line system identification of complex systems using Chebyshev neural networks. Applied Soft Computing. 2007;7(1):364-72.
- Wang B, Jahanshahi H, Dutta H, Zambrano-Serrano E, Grebenyuk V, Bekiros S, et al. Incorporating fast and intelligent control technique into ecology: A Chebyshev neural network-based terminal sliding mode approach for fractional chaotic ecological systems. Ecological Complexity. 2021;47:100943.
- Chakraverty S, Mall S. Artificial neural networks for engineers and scientists: solving ordinary differential equations: CRC Press; 2017.
- Ruiz I, Zeron M. Machine Learning for Risk Calculations: A Practitioner's View: Wiley; 2021.
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