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• W2088578412 abstract "This paper addresses the problem of the simultaneous state and input estimation for hybrid systems when subject to input disturbances. The proposed algorithm is based on the moving horizon estimation (MHE) method and uses mixed logical dynamical (MLD) systems as equivalent representations of piecewise affine (PWA) systems. So far the MHE method has been successfully applied for the state estimation of linear, hybrid, and nonlinear systems. The proposed extension of the MHE algorithm enables the estimation of unknown inputs, or disturbances, acting on the hybrid system. The new algorithm is shown to improve the convergence characteristics of the MHE method by reducing the delay of convergent estimates, while assuring convergence for every possible sequence of input disturbances. To ensure convergence the system is required to be incrementally input observable, which is an extension to the classical incremental observability property." @default.
• W2088578412 created "2016-06-24" @default.
• W2088578412 creator A5046044946 @default.
• W2088578412 creator A5086874188 @default.
• W2088578412 date "2006-05-01" @default.
• W2088578412 modified "2023-09-23" @default.
• W2088578412 title "Simultaneous state and input estimation of hybrid systems with unknown inputs" @default.
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• W2088578412 doi "https://doi.org/10.1016/j.automatica.2005.12.014" @default.
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