scholarly journals Preface for the Edition of Special Issue on “Systems and Control Technology in Transportation”

1987 ◽  
Vol 107 (10) ◽  
pp. 875-875
Author(s):  
Hidekiyo Itakura
Keyword(s):  
Control Technology ◽  
Special Issue ◽  
Systems And Control ◽  
And Control

Special Issue on Discrete Systems and Control

2000 ◽  
Vol 30 (5) ◽  
pp. 637-641
Author(s):  
M.A. Jafari ◽  
M. Zhou
Keyword(s):  
Discrete Systems ◽  
Special Issue ◽  
Systems And Control ◽  
And Control

Special issue on evolutionary computation for systems and control applications

2004 ◽  
Vol 35 (13-14) ◽  
pp. 729-730 ◽  
Author(s):  
Kit Po Wong ◽  
Zhao Yang Dong
Keyword(s):  
Evolutionary Computation ◽  
Special Issue ◽  
Control Applications ◽  
Systems And Control ◽  
And Control

Advanced Computational Intelligence in Control Theory and Applications

1999 ◽  
Vol 3 (2) ◽  
pp. 67-67
Author(s):  
Kazuo Tanaka ◽  
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
Control Theory ◽  
Soft Computing ◽  
Computational Intelligence ◽  
Intelligent Systems ◽  
Special Issue ◽  
Systems And Control ◽  
And Control

We are witnessing a rapidly growing interest in the field of advanced computational intelligence, a "soft computing" technique. As Prof. Zadeh has stated, soft computing integrates fuzzy logic, neural networks, evolutionary computation, and chaos. Soft computing is the most important technology available for designing intelligent systems and control. The difficulties of fuzzy logic involve acquiring knowledge from experts and finding knowledge for unknown tasks. This is related to design problems in constructing fuzzy rules. Neural networks and genetic algorithms are attracting attention for their potential in raising the efficiency of knowledge finding and acquisition. Combining the technologies of fuzzy logic and neural networks and genetic algorithms, i.e., soft computing techniques will have a tremendous impact on the fields of intelligent systems and control design. To explain the apparent success of soft computing, we must determine the basic capabilities of different soft computing frameworks. Give the great amount of research being done in these fields, this issue addresses fundamental capabilities. This special issue is devoted to advancing computational intelligence in control theory and applications. It contains nine excellent papers dealing with advanced computational intelligence in control theory and applications such as fuzzy control and stability, mobile robot control, neural networks, gymnastic bar action, petroleum plant control, genetic programming, Petri net, and modeling and prediction of complex systems. As editor of this special issue, I believe that the excellent research results it contains provide the basis for leadership in coming research on advanced computational intelligence in control theory and applications.

Computer-aided experiments for a course in dynamic systems and control technology

1999 ◽  
Vol 23 ◽  
pp. S633-S636
Author(s):  
Ivonne M.M. Lammerts ◽  
Heinz A. Preisig
Keyword(s):  
Dynamic Systems ◽  
Control Technology ◽  
Systems And Control ◽  
Computer Aided ◽  
And Control
Sign in / Sign up

Export Citation Format

Share Document