Nonlinear Model Predictive Control for Tractors Based on an Efficient Neural Network Optimization Strategy
The application and performance of Nonlinear Model Predictive Control (NMPC) are critically limited by the computational efficiency of solving nonlinear combinatorial optimization problems. To address this challenge, this study proposes an efficient optimization strategy that employs a neural network to solve the const...