Neural Network Optimized Model Predictive Multi-Objective Adaptive Cruise Control
نویسندگان
چکیده
منابع مشابه
Adaptive Neural Network Model Predictive Control
Neural network model predictive controllers have demonstrated high potential in the non-conventional branch of nonlinear control. However, the major issue in process control of nonlinear systems is the sensitivity to parameters variations and uncertainties. Indeed, when the process is controlled by neural network model predictive control (NNMPC) and subject to parameters variations or uncertain...
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Greg Martin Pavilion Technologies Austin, TX 78758 [email protected] Mark Gerules Pavilion Technologies Austin, TX 78758 [email protected] Model Predictive Control (MPC), a control algorithm which uses an optimizer to solve for the optimal control moves over a future time horizon based upon a model of the process, has become a standard control technique in the process industries over the past two ...
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ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2018
ISSN: 2261-236X
DOI: 10.1051/matecconf/201816601009