Ensuring safe docking maneuvers on floating platform using Nonlinear Model Predictive Control (NMPC)
Docking maneuvers are a relevant part of the modern space mission, requiring precision and safety to ensure the success of the overall mission. This thesis proposes using a non-linear Model Predictive Control (MPC) as a controller with various constraints to ensure safe docking maneuvers for a satellite. This was done in MATLAB using as a model for the
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Time-domain optimization based NMPC path tracking control for underground LHD. [PDF]
Liu Y +7 more
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A Framework for Implementation of Dynamic Discrepancy Reduced-Order Modeling in Advanced Process Control. [PDF]
Dinh S +3 more
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PENC: a predictive-estimative nonlinear control framework for robust target tracking of fixed-wing UAVs in complex urban environments. [PDF]
Hai S, Na X, Feng Z, Shi J, Sun Q.
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Reinforcement Learning-Based Nonlinear Model Predictive Controller for a Jacketed Reactor: A Machine Learning Concept Validation Using Jetson Orin. [PDF]
Selvamurugan A +4 more
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Q‑Learning-Based Multivariate Nonlinear Model Predictive Controller: Experimental Validation on Batch Reactor for Temperature Trajectory Tracking. [PDF]
Vegesna AV +3 more
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Reservoir computing-driven inverse dynamics for autonomous vehicle trajectory tracking control. [PDF]
Zhang A, Su C, Wang Z, Zhou C, Yang Y.
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A virtual-structure-based type-3 fuzzy system for predictive sensor and actuator fault detection, compensation, and control in nonlinear systems. [PDF]
Hong X +5 more
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Decentralized nonlinear model predictive control-based flock navigation with real-time obstacle avoidance in unknown obstructed environments. [PDF]
Gerdpratoom N, Yamamoto K.
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Digital twin syncing for autonomous surface vessels using reinforcement learning and nonlinear model predictive control. [PDF]
Berg HS +3 more
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