A survey on switched and piecewise affine system identification

Recent years have witnessed a growing interest on system identification techniques for switched and piecewise affine models. These model classes have become popular not only due to the universal approximation properties of piecewise affine functions, but also because the proposed identification procedures have proven to be effective in problems involving complex nonlinear systems with large data sets. This paper presents a review of recent advances in this research field, including theoretical results, algorithms and applications.