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The following topics are dealt with: intelligent system design; neural networks, AI and expert systems; evolutionary computation; genetic algorithms; natural language processing & machine translation; artificial life and artificial immune systems; rough and fuzzy rough set; gray system and cloud computing; cognitive radio and computer vision; pattern recognition and machine learning; fuzzy system...
This paper reviews computational-intelligence-involved approaches in active vehicle suspension control systems with a focus on the problems raised in practical implementations by their nonlinear and uncertain properties. After a brief introduction on active suspension models, the paper explores the state of the art in fuzzy inference systems, neural networks, genetic algorithms, and their combination...
This paper proposes a gain scheduling adaptive control scheme based on fuzzy systems, neural networks and genetic algorithms: an optimal fuzzy PI controller is developed, by a genetic algorithm, according to some design specifications, and a neural network is designed to learn and tune on-line the fuzzy controller parameters at different operating points from ones used in the learning process. Simulation...
The ambiguity, robustness and performance of systems becomes increasingly evident as the complexity and size increase in industrial processes. Under these circumstances, conventional control techniques such as PID control, nonlinear feedback control, LQG control and Hinfin control have several disadvantages because they are hard or inflexible and cannot handle qualitative knowledge. This may explain...
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