Identification of hybrid systems via mixed-integer programming

10 July 2003

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 1, 786-792
https://doi.org/10.1109/cdc.2001.980202

Abstract

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.

Keywords

DYNAMIC PROGRAMMING
QUADRATIC PROGRAMMING
JACOBIAN MATRICES
LOGIC DEVICES
STABILITY ANALYSIS
FAULT DETECTION
NONLINEAR DYNAMICAL SYSTEMS
ALGORITHM DESIGN AND ANALYSIS
WHITE NOISE

This publication has 0 references indexed in Scilit: