Intelligent control

Intelligent control is a class of control techniques that use various artificial intelligence computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, reinforcement learning, evolutionary computation and genetic algorithms.

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Metrics Summary

Total Publications

Lifetime

25,672

Prior Five Years

3,504

Total Citations

Lifetime

85,713

Prior Five Years

6,075

Total Scholars

Lifetime

23,272

Prior Five Years

17,615

Institutional Rankings

Global (Worldwide)

Academic Institutions Lifetime		Academic Institutions Prior Five Years		Non-academic Institutions Lifetime
#1	National University of Singapore Singapore	#1	Donghua University China	#1	Center for Research and Advanced Studies of the National Polytechnic Institute Mexico
#2	Ohio State University United States	#2	Jadavpur University India	#2	SanDisk United States
#3	Tijuana Institute of Technology Mexico	#3	Harbin Engineering University China	#3	National Institute of Standards and Technology United States
#4	Northeastern University China	#4	Bohai University China	#4	Ford Motor Company United States
#5	University of Patras Greece	#5	University of British Columbia Canada	#5	Ames Research Center United States
#6	University of Texas at Arlington United States	#6	University of Northampton United Kingdom	#6	TracBeam LLC
#7	University of California, Riverside United States	#7	Universidad Tecnológica de Querétaro Mexico	#7	AB Volvo Sweden
#8	University of Minnesota, Twin Cities United States	#8	National Autonomous University of Mexico Mexico		Show More
#9	Universiti Sultan Zainal Abidin Malaysia	#9	Indian Institute of Technology, Delhi India
#10	Harvard University United States	#10	Harvard University United States
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National Institutional Rankings

Publications and Citation History

Publications based on Disciplines

Scholars based on Disciplines

Publications based on Fields

Scholars based on Fields

Highly Ranked Scholars™

Lifetime

Prior Five Years

Evaluation Period:

Highly Cited Publications

Lifetime