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- W2294913481 abstract "This paper presents a novel model predictive control (MPC) approach to tracking control of mobile robots based on recurrent neural networks (RNNs). The tracking control problem is firstly formulated as a sequential dynamic optimization problem in framework of MPC. Then a novel neurodynamic approach is developed for computing the optimal control signals in real time, where multiple RNNs are applied in a collective fashion. The proposed approach enables MPC of mobile robots to be synthesized in real time. Simulation results are provided to substantiate the effectiveness of the proposed approach." @default.
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- W2294913481 date "2015-01-01" @default.
- W2294913481 modified "2023-10-16" @default.
- W2294913481 title "Real-Time Robust Model Predictive Control of Mobile Robots Based on Recurrent Neural Networks" @default.
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- W2294913481 doi "https://doi.org/10.1007/978-3-319-26555-1_33" @default.
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