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This paper concerns with the robust finite-time fault diagnosis of leader-follower multi-agent systems with actuator faults. Using linear matrix inequality (LMI) and robust finite-time boundedness theory, a sufficient condition is firstly presented for a dynamic system to be robust finite-time bounded. The observer is constructed based on relative output estimation error. Then the existence conditions...
This paper concerns with the dissipativity-based fault estimation of linear multi-agent systems with actuator faults. Using linear matrix inequality (LMI) and dissipativity theory, a sufficient condition is firstly presented for a dynamic system to be dissipative. The observer is constructed based on relative output estimation error. Then the existence condition of dissipativity-based fault estimation...
This paper deals with the estimation of state for a class of linear systems with the uncertainty that appears in the both state and output matrices and the uncertainties are bounded. A sliding mode observer-based method is proposed which can be effectively solved using linear matrix inequalities (LMI) technique. The stability of the designed observer is proved. A simulation based on the VTOL aircraft...
This paper addresses the fault estimation problem for discrete-time dynamic systems. First, using a specific system decomposition, we propose a new reduced-order fault estimation observer (RFEO) with multiconstrained idea. A detailed discussion of the RFEO is given. Then, with the help of the slack-variable technique, fault estimation performances are further enhanced to reduce the conservatism generated...
In this paper, a novel adaptive approach for fault diagnosis is proposed. In order to enhance performance of fault estimation, the proposed fault estimator is composed of proportional term and integral one, which enables to improve rapidity and accuracy for fault estimation. Finally, a satellite attitude control example is presented to illustrate the efficiency of the presented techniques for fault...
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