Uyanık, İ.Saranlı U.Morgϋl, Ö.Ankaralı, M. M.2018-04-122018-04-1220162405-8963http://hdl.handle.net/11693/36830In this paper, we present a state-space system identification technique for a class of hybrid LTP systems, formulated in the frequency domain based on input-output data. Other than a few notable exceptions, the majority of studies in the state-space system identification literature (e.g. subspace methods) focus only on LTI systems. Our goal in this study is to develop a technique for estimating time-periodic system and input matrices for a hybrid LTP system, assuming that full state measurements are available. To this end, we formulate our problem in a linear regression framework using Fourier transformations, and estimate Fourier series coefficients of the time-periodic system and input matrices using a least-squares solution. We illustrate the estimation accuracy of our method for LTP system dynamics using a hybrid damped Mathieu function as an example. © 2016EnglishHybrid systemsLinear time periodic systemsState-space identificationFourier seriesFourier transformsFrequency domain analysisHybrid systemsLinear systemsMathematical transformationsMatrix algebraReligious buildingsFourier transformationsInput-output dataLeast squares solutionsLinear time-periodic systemParametric identificationState measurementsState space systemsTime-periodic systemLinear transformationsArticle10.1016/j.ifacol.2016.07.479