Synthesis of multiple model switching controllers using H∞ theory for systems with large uncertainties

Neurocomputing

Volumn 157, Issue , 2015, Pages 118-124

  Gao, Feng ^a   Li, Shengbo Eben ^b   Kum, Dongsuk ^c   Zhang, Hui ^d  

^a CHONGQING UNIVERSITY   (China)

^b TSINGHUA UNIVERSITY   (China)

^c Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^d OHIO STATE UNIVERSITY   (United States)

Author keywords

Multiple model; Robust control; Stability; Switching control

Indexed keywords

CLOSED LOOP CONTROL SYSTEMS; CONVERGENCE OF NUMERICAL METHODS; LINEAR MATRIX INEQUALITIES; LINEAR SYSTEMS; ROBUST CONTROL; ROBUSTNESS (CONTROL SYSTEMS); STABILITY; SWITCHING; SWITCHING THEORY; UNCERTAINTY ANALYSIS;

ARBITRARY SWITCHING; CANDIDATE CONTROLLERS; CONVENTIONAL METHODS; MULTIPLE MODEL SWITCHING; MULTIPLE-MODELING; PARAMETRIC UNCERTAINTIES; SWITCHING CONDITIONS; SWITCHING CONTROL;

CONTROLLERS;

ANIMAL TISSUE; ARTICLE; CALCULATION; LINEAR SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NONHUMAN; PRIORITY JOURNAL; ROBUST MULTIPLE MODEL SWITCHING CONTROL; SIMULATION; THEORETICAL MODEL;

EID: 84924060012     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.01.029     Document Type: Article

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