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Communication Dans Un Congrès Année : 2017

Cascade High Gain Observers Based State and Unknown Input Reconstruction

Résumé

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.

Dates et versions

hal-02142169 , version 1 (28-05-2019)

Identifiants

Citer

S. Hadj Saïd, M. Farza, F. M’sahli, Tomas Menard. Cascade High Gain Observers Based State and Unknown Input Reconstruction. 20th IFAC World Congress, Jul 2017, Toulouse, France. pp.1445-1450, ⟨10.1016/j.ifacol.2017.08.288⟩. ⟨hal-02142169⟩
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