Robust adaptive ℒ ∞-gain neural filtering for non-linear systems in the presence of bounded disturbances

IET Control Theory and Applications

Volumn 5, Issue 4, 2011, Pages 630-639

  Wu, H N ^a   Li, H X ^b  

^a BEIHANG UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDED DISTURBANCES; DESIGN METHOD; DISTRIBUTION MATRICES; FILTERING SCHEMES; GAIN PERFORMANCE; LINEAR MEASUREMENTS; MEASUREMENT EQUATIONS; MEASUREMENT RESIDUAL; NEURAL FILTERS; NULL SPACE; OPTIMISATIONS; ORTHOGONAL PROJECTION; RADIAL BASIS FUNCTION NEURAL NETWORKS; ROBUST ADAPTIVE; SIGNAL ESTIMATION; SIMULATION EXAMPLE; STATE DYNAMICS; UNIFORMLY ULTIMATELY BOUNDED; UPPER BOUND; WEIGHT UPDATE;

SIGNAL ANALYSIS; STATE ESTIMATION;

LINEAR MATRIX INEQUALITIES;

EID: 84863179456     PISSN: 17518644     EISSN: 17518652     Source Type: Journal    
DOI: 10.1049/iet-cta.2009.0611     Document Type: Article

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