Title :
Low-complexity approximations of PWA functions: A case study on Adaptive Cruise Control
Author :
Oliveri, A. ; Naus, G.J.L. ; Storace, M. ; Heemels, W.P.M.H.
Author_Institution :
Biophys. & Electron. Eng. Dept., Univ. of Genoa, Genoa, Italy
Abstract :
This paper applies recently developed techniques for the PieceWise-Affine (PWA) approximation of explicit Model Predictive Control (MPC) to an Adaptive Cruise Control system. The optimal MPC law is approximated by using a particular class of PWA functions defined over a domain partitioned into simplices, referred to as PieceWise-Affine Simplicial functions. This approximation technique allows a very fast circuit implementation of the control function, thereby enabling the usage of MPC in embedded systems with extremely small sampling periods.
Keywords :
adaptive control; automobiles; embedded systems; function approximation; optimal control; predictive control; velocity control; PWA function approximation; adaptive cruise control; car; control function circuit implementation; embedded system; low-complexity approximation; optimal model predictive control; piecewise-affine approximation; piecewise-affine simplicial function; sampling period; Acceleration; Approximation methods; Computer architecture; Control systems; Optimization; Predictive models; Vehicles;
Conference_Titel :
Circuit Theory and Design (ECCTD), 2011 20th European Conference on
Conference_Location :
Linkoping
Print_ISBN :
978-1-4577-0617-2
Electronic_ISBN :
978-1-4577-0616-5
DOI :
10.1109/ECCTD.2011.6043632
