Cascade High Gain Observers Based State and Unknown Input Reconstruction. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Hadj Saïd, S.; Farza, M.; M'Sahli, F.; Menard, T.
• Is Part Of: IFAC-PapersOnLine. Volume 50:Issue 1(2017)
• Page Start: 1445
• Page End: 1450
• Publication Date: 2017-07
• Subjects: State Estimation -- Robust Estimation -- Nonlinear Systems -- Cascade Observers -- Unknown Inputs Estimation; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2017.08.288
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper presents a systematic routine for jointly reconstruct the state variables and the unknown inputs for a large class of nonlinear MIMO systems. After an appropriate change of state coordinates, a set of cascade high gain observers are designed in such a way that each of them provides an estimation of only one component of the unknown input vector, except the last one which gives a final adjustment of the whole state variables. Such design achieves a boundary of the state estimation error which can be arbitrarily small by properly specifying the sole synthesis parameter. An illustrative example verifies the effectiveness of the proposed scheme.