Robust H∞ filtering for a class of discrete-time Lipschitz nonlinear systems

• Autores: C.E. de Souza
• Localización: Automatica: A journal of IFAC the International Federation of Automatic Control, ISSN 0005-1098, Nº. 103, 2019, págs. 69-80
• Idioma: inglés
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• Resumen

  • This paper deals with the problem of robust H∞ filtering for discrete-time systems with Lipschitz nonlinearities and uncertain parameters. Both the cases of systems subject to either polytopic or norm-bounded parameter uncertainties are treated and it is considered that all the matrices of the system state-space model can be affected by uncertain parameters. Novel methods in terms of linear matrix inequalities are proposed for designing nonlinear filters with a general structure that ensure global exponential stability of the estimation error dynamics and a prescribed (or optimized) H∞ performance for all admissible uncertain parameters. In the case of polytopic uncertain systems, the filter design is based on an affine uncertainty-dependent Lyapunov function. Numerical examples are presented to illustrate the effectiveness of the proposed robust H∞ filtering methods.