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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.
This paper describes predictive control of pneumatic actuator. Pneumatic cylinder is a complex nonlinear object because of friction and compressibility of the air. A precision and fast control such an object using traditional methods of control is very difficult. Predictive control with neural networks model of the plant is one of the modern approaches to control complex nonlinear objects.
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