A new approach to fuzzy modeling and control for nonlinear dynamic systems: Neuro-fuzzy dynamic characteristic modeling and adaptive control mechanism

International Journal of Control, Automation and Systems

Volumn 7, Issue 1, 2009, Pages 123-132

  Luo, Xiong ^a   Sun, Zengqi ^b,c   Sun, Fuchun ^b,c  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b TSINGHUA UNIVERSITY   (China)

^c National Laboratory of Space Intelligent Control   (China)

Author keywords

Adaptive control; Fuzzy control; Neuro fuzzy dynamic characteristic modeling; Nonlinear system

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; CONTROL SYSTEM ANALYSIS; CONTROL THEORY; DYNAMICAL SYSTEMS; ENGINEERING RESEARCH; FEEDFORWARD CONTROL; FUZZY CONTROL; FUZZY INFERENCE; FUZZY LOGIC; FUZZY SETS; IDENTIFICATION (CONTROL SYSTEMS); NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; NONLINEAR SYSTEMS;

ADAPTIVE CONTROL; ADAPTIVE CONTROL LAWS; CHARACTERISTIC MODELING; CLOSED-LOOP CONTROLS; COMPLEMENTARY METHODS; COMPLEX NONLINEAR SYSTEMS; CONTROL LAWS; DYNAMIC MODELING; FEEDFORWARD CONTROL LAWS; FUZZY LOGIC SYSTEMS; FUZZY MODELING; GOLDEN SECTIONS; INTELLIGENT MODELING; INTERNATIONAL RESEARCHES; LOCAL-ADAPTIVE; NEURO-FUZZY DYNAMIC CHARACTERISTIC MODELING; NEW APPROACHES; NON-LINEAR CONTROLS; NON-LINEAR DYNAMIC SYSTEMS; NONLINEAR SYSTEM; NOVEL METHODS; PARAMETERS IDENTIFICATIONS; STABILITY CONDITIONS;

CONTROL SYSTEMS;

EID: 60349083660     PISSN: 15986446     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12555-009-0115-x     Document Type: Article

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