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in this paper, we address the problem of reducing the computational burden of model predictive control (mpc) for real. the resources i would recommend is: A unified framework based on dynamic programming. I know the theory of mpc but i have never coded it up. i am interested in to study the model predictive control(mpc). how to understand model predictive control. in order to learn an accurate dynamics model in the upper layer, an augmented model using a deep residual. model predictive control and reinforcement learning: I have to apply mpc in a research. Can you recommend the best book(s) for studying mpc as a starter?
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From www.researchgate.net
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