A New Hybrid Model Predictive Controller Design for Adaptive Cruise of Autonomous Electric Vehicles
Algorithm 1
Algorithm implementation of SDNN.
(1)
. Determine whether to initialize; if yes, step to 3; if no, step 2;
(2)
Update the status variables and the output variables, feedback correction;
(3)
Set the iteration instant of discrete SDNN iteration to solve QP;
(4)
Discrete SDNN iterates to solve the QP problem;(a)Calculate of the current iteration instant according to discrete SDNN model;(b)Calculate the relative error;Where;(c)Determine whether , if yes, step to 5; if no, step to d);(d), step to a);
(5)
Get instant control increment , calculate the actual control variable .
