zbMATH — the first resource for mathematics

Examples
Geometry Search for the term Geometry in any field. Queries are case-independent.
Funct* Wildcard queries are specified by * (e.g. functions, functorial, etc.). Otherwise the search is exact.
"Topological group" Phrases (multi-words) should be set in "straight quotation marks".
au: Bourbaki & ti: Algebra Search for author and title. The and-operator & is default and can be omitted.
Chebyshev | Tschebyscheff The or-operator | allows to search for Chebyshev or Tschebyscheff.
"Quasi* map*" py: 1989 The resulting documents have publication year 1989.
so: Eur* J* Mat* Soc* cc: 14 Search for publications in a particular source with a Mathematics Subject Classification code (cc) in 14.
"Partial diff* eq*" ! elliptic The not-operator ! eliminates all results containing the word elliptic.
dt: b & au: Hilbert The document type is set to books; alternatively: j for journal articles, a for book articles.
py: 2000-2015 cc: (94A | 11T) Number ranges are accepted. Terms can be grouped within (parentheses).
la: chinese Find documents in a given language. ISO 639-1 language codes can also be used.

Operators
a & b logic and
a | b logic or
!ab logic not
abc* right wildcard
"ab c" phrase
(ab c) parentheses
Fields
any anywhere an internal document identifier
au author, editor ai internal author identifier
ti title la language
so source ab review, abstract
py publication year rv reviewer
cc MSC code ut uncontrolled term
dt document type (j: journal article; b: book; a: book article)
Improvement on observer-based H control for T–S fuzzy systems. (English) Zbl 1093.93016
Summary: This paper provides an improved result over that in X. Liu and Q. Zhang [New approaches to H controller designs based on fuzzy observers for T-S fuzzy systems via LMI. Automatica 39, 1571–1582 (2003; Zbl 1029.93042)] for the problem of observer-based H control for nonlinear systems in Takagi-Sugeno (T-S) fuzzy model. It contributes in three aspects: (i) The present result is less conservative than that in X. Liu and Q. Zhang [loc. cit.]; (ii) The present strict LMI method is a single step approach which overcomes the drawback of a two-step approach in X. Liu and Q. Zhang [loc. cit.]; (iii) The matrix dimensions are largely reduced compared with the corresponding ones in Liu and Zhang [loc. cit.].
MSC:
93C42Fuzzy control systems
93B36H -control
93B07Observability