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Prescribed Performance Lyapunov-Based Model Predictive Tracking Control for Autonomous Underwater Vehicles Subject to Disturbances: A Dynamically Weighted Approach
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The authors have nothing to report. References 1 and , “MPC-Based Motion Planning and Control Enables Smarter and Safer Autonomous Marine Vehicles: Perspectives and a Tutorial Survey,” IEEE/CAA Journal of Automatica Sinica 10, no. 1 (2022): 8–24. 2, , , and , “Network-Based T–S Fuzzy Dynamic Positioning Controller Design for Unmanned Marine Vehicles,” IEEE Transactions on Cybernetics 48, no.
Adaptive finite-time prescribed tracking control of stochastic nonlinearly parameterised systems
Abstract The adaptive tracking control is studied in the article of stochastic nonlinear systems with nonlinear parameterisation. Primarily, a finite-time performance function (FTPF) is explored under the backstepping control framework, which circumvents the fractional-order controller structure. Subsequently, an error transformation is utilised to convert from the original output tracking error to a novel error associated with the FTPF for the designing controller.
The Control and Navigation of Autonomous Surface Vehicles
Special Issue Editors Prof. Dr. Defeng Wu Prof.
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