Dynamical robust H∞ filtering for nonlinear uncertain systems: An LMI approach |
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| Authors: | Masoud Abbaszadeh Horacio J Marquez |
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| Institution: | a Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada T6G 2V4
b Department of Research and Development, Maplesoft, Waterloo, Ontario, Canada N2V 1K8 |
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| Abstract: | In this paper, a new approach to robust H∞ filtering for a class of nonlinear systems with time-varying uncertainties is proposed in the LMI framework based on a general dynamical observer structure. The nonlinearities under consideration are assumed to satisfy local Lipschitz conditions and appear in both state and measured output equations. The admissible Lipschitz constants of the nonlinear functions are maximized through LMI optimization. The resulting H∞ observer guarantees asymptotic stability of the estimation error dynamics with prespecified disturbance attenuation level and is robust against time-varying parametric uncertainties as well as Lipschitz nonlinear additive uncertainty. |
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