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In this paper, we propose a hardware implementation for the predictive inverse neurocontrol system using an ARM7-based embedded processor. ARM is a low cost widely accepted platform. The experiment shows that ARM7 microcontroller may be successfully used to build hardware for the predictive control systems.
The paper compares the traditional model predictive control (MPC) with the proposed predictive inverse neurocontrol (PIN) technique. The PIN approach allows to avoid the online optimization procedure and thus sufficiently reduces the need for computing power and becomes especially important for the control of the plants with fast dynamics.
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