Robust state estimation for a class of uncertain nonlinear systems: Comparison of two approaches.
作者： Amir Abbasi , Javad Poshtan
DOI: 10.1016/J.ISATRA.2017.02.015
关键词:
摘要: In this paper, two approaches for robust state estimation of a class Lipschitz nonlinear systems are proposed. First, novel Unknown Input Observer (UIO) is designed without observer matching condition satisfaction. Then, an H∞ approximate disturbance decoupling Sufficient conditions the existence both proposed observers derived based on Lyapunov function. The achieved formulated in terms set linear matrix inequalities (LMIs) and optimal gain matrices obtained. minimum values attenuation levels methods obtained through solving optimization problems. Finally, compared by simulation studies automated highway system.
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