%I IEEE
%V 1
%P 786-792
%T Identification of hybrid systems via mixed-integer programming
%C Orlando, Florida USA, December 2001
%B Decision and Control Conference
%J Proc. 40th IEEE Conf. on Decision and Control
%R 10.1109/.2001.980202
%A Alberto Bemporad
%A Jacob Roll
%A Lennart Ljung
%K Wiener piecewise affine autoregressive exogenous models; global optimum; hinging hyperplanes autoregressive exogenous models; hybrid dynamical systems; identification; mixed-integer programming; quadratic programming; autoregressive processes; continuous time systems; discrete systems; identification; integer programming; quadratic programming
%X Addresses the problem of identification of hybrid dynamical systems, by focusing the attention on hinging hyperplanes and Wiener piecewise affine autoregressive exogenous models. In particular, we provide algorithms based on mixed-integer linear or quadratic programming which are guaranteed to converge to a global optimum
%L eprints585
%D 2001