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Computational intelligence in control

delete2014-01-01
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PRE
AI
A
A.E. Ruano *
S
Shuzhi Sam Ge
T
Thierry‐Marie Guerra
F
Frank L. Lewis
J
José C. Prı́ncipe
DOI:10.1016/j.arcontrol.2014.09.006delete
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Abstract

Abstract

En 中文
This Milestone Report addresses first the position of the areas of computers, computational intelligence and communications within IFAC. Subsequently, it addresses the role of computational intelligence in control. It focuses on four topics within the Computational Intelligence area: neural network control, fuzzy control, reinforcement learning and brain machine interfaces. Within these topics the challenges and the relevant theoretical contributions are highlighted, as well as expected future directions are pointed out. (C) 2014 Elsevier Ltd. All rights reserved.
Keywords:
ADAPTIVE OPTIMAL-CONTROL
NEURAL-NETWORK
PREDICTIVE CONTROL
FUZZY CONTROL
STABILIZATION CONDITIONS
FEATURE-SELECTION
FEEDBACK CONTROL
SYSTEMS
DESIGN
MODEL
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Annual Reviews in Control cover
Annual Reviews in Control
IF:
10.7
Papers:
835
Citations:
5.9K

Organization

U
universidade de lisboa
Scholars:
3.4W
Papers: 3.1W
Citations: 29
State University System of Florida cover
State University System of Florida
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12.8W
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Citations: 130
U
universite polytechnique hauts-de-france
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Papers: 1.1K
Citations: 0
I
interdigital
Scholars:
145
Papers: 169
Citations: 0
U
university of texas system
Scholars:
18.5W
Papers: 15.6W
Citations: 210
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