  In this paper, we propose a novel linear quadratic Gaussian controller whose
parameters can be automatically tuned. While linear quadratic regulator method
has been widely used in adaptive cruise control system design, researchers have
not yet proposed a feasible and effective linear quadratic regulator. Neither
did they well tackle with process and measurement noise, nor did they solve the
tedious and inefficient tuning problem in adaptive cruise control system
design. To compensate for the noise, the authors introduced linear quadratic
Gaussian where Kalman filter is applied. And to make the tuning process more
efficient, genetic algorithm is used to search for the optimal linear quadratic
Gaussian parameters.
