Journal of Advanced Computational Intelligence and Intelligent Informatics Vol.3, No.2, 1999
- Editorial:
- Advanced Computational Intelligence in Control Theory and Applications
- Kazuo Tanaka, pp. 67-67
-
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.
- Paper:
- Nonlinear Model Following Control via Takagi-Sugeno Fuzzy Model
- Tadanari Taniguchi and Kazuo Tanaka, pp. 68-74
- Abstract
Full Text (PDF3517KB)
- Paper:
- Evolutionary Strategy Using Statistical Information and Its Application to Mobile Robot Control
- Kiyotaka Izumi, Keigo Watanabe, and M.M.A. Hashem, pp. 75-81
- Abstract
Full Text (PDF3802KB)
- Paper:
- Computational Intelligence for Robust Control Algorithms of Complex Dynamic Systems with Minimum Entropy Production
- S.V. Ulyanov, K. Yamafuji, V.S. Ulyanov, 1. Kurawaki, T. Hagiwara and S.A. Panfilov, pp. 82-98
- Abstract
Full Text (PDF10391KB)
- Paper:
- Fuzzy Control Stability Analysis Using a Generalized Fuzzy Petri Net Model
- Takeshi Furuhashi, Hidehiro Yamamoto, James F. Peters and Witold Pedrycz, pp. 99-105
- Abstract
Full Text (PDF3863KB)
- Paper:
- Hierarchical Fuzzy Intelligent Controller for Gymnastic Bar Actions
- Junji Nishino, Akihiro Tagawa, Haruhiko Shirai, Tomohiro Odaka and Hisakazu Ogura, pp. 106-113
- Abstract
Full Text (PDF4950KB)
- Paper:
- Recursive Fuzzy Modeling Based on Fuzzy Interpolation
- Saeed Bagheri Shouraki and Nakaji Honda, pp. 114-125
- Abstract
Full Text (PDF6563KB)
- Paper:
- Hierarchical Control System with Fuzzy Supervisory System and PID Controller and Application to Large-Scale Hydrogen Gas Purity Control
- Tetsuji Tani, Takahiro Kobayashi and Sadaaki Miyamoto, pp. 126-130
- Abstract
Full Text (PDF3261KB)
- Paper:
- Fuzzy Adaptive Search Method for Genetic Programming
- Yoichiro Maeda, pp. 131-135
- Abstract
Full Text (PDF2956KB)
- Paper:
- Computational Intelligence with New Physical Controllability Measure for Robust Control Algorithm of Extension- Cableless Robotic Unicycle
- V.S. Ulyanov, K. Yamafuji, S.V. Ulyanov and K. Tanaka, pp. 136-147
- Abstract
Full Text (PDF7914KB)
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