  This paper concerns applications of a recently-developed output-tracking
technique to trajectory control of autonomous vehicles. The technique is based
on three principles: Newton-Raphson flow for solving algebraic equations,output
prediction, and controller speedup. Early applications of the technique, made
to simple systems of an academic nature,were implemented by simple algorithms
requiring modest computational efforts. In contrast, this paper tests it on
commonly-used dynamic models to see if it can handle more complex control
scenarios. Results are derived from simulations as well as a laboratory
setting, and they indicate effective tracking convergence despite the
simplicity of the control algorithm.

Systems and Control