Print Email Facebook Twitter Adaptive Cruise Control for a SMART Car: A Comparison Benchmark for MPC-PWA Control Methods Title Adaptive Cruise Control for a SMART Car: A Comparison Benchmark for MPC-PWA Control Methods Author Corona, D. De Schutter, B. Faculty Electrical Engineering, Mathematics and Computer Science Department Delft Center for Systems and Control Date 2008-04-01 Abstract The design of an adaptive cruise controller for a SMART car, a type of small car, is proposed as a benchmark setup for several model predictive control methods for nonlinear and piecewise affine systems. Each of these methods has been already applied to specific case studies, different from method to method. This paper has therefore the purpose of implementing and comparing them over a common benchmark, allowing us to assess the main properties, characteristics, and strong/weak points of each method. In the simulations, a realistic model of the SMART car, including gear box and engine nonlinearities, is considered. A description of the methods to be compared is presented, and the comparison results are collected in a table. In particular, the tradeoffs between complexity and accuracy of the solution, as well as computational aspects are highlighted. Subject adaptive cruise controlmixed integer optimizationmodel predictive control (MPC)piecewise affine systemsroad vehicles To reference this document use: http://resolver.tudelft.nl/uuid:1556f6ae-4c18-4668-b366-ed46450201c1 Publisher IEEE ISSN 1063-6536 Source IEEE Transactions on Control Systems Technology, 16 (2), 2008 Part of collection Institutional Repository Document type journal article Rights (c) 2008 IEEE Files PDF corona2008.pdf 521.56 KB Close viewer /islandora/object/uuid:1556f6ae-4c18-4668-b366-ed46450201c1/datastream/OBJ/view