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Granular/symbolic data processing is an emerging conceptual and computing paradigm of information processing. In the era of big data, the emergence of granular/symbolic processing has been motivated by the urgent need for intelligent transformation of empirical data that are now commonly available in vast quantities, into a human-manageable knowledge. In such an aggregation process, we hope to retain...
Rudder roll stabilization (RRS) for ship steering is to only use the rudder as the actuator for maintaining the autopilot heading and reducing the roll angle. In this study, a nonlinear control scheme for RRS was proposed based on Fuzzy Gain Scheduling (FGS)-PID. The proposed method was applied to a nonlinear multirole naval vessel model. The proposed method is compared with traditional PID and LQR...
It is well-known that Self-constructing neural fuzzy inference network (SONFIN) is a nice fuzzy inference system that has been equipped with structure learning capability. For the learning mechanisms, SONFIN can either be employed with the adaptive learning algorithm from neural network, which is often called backpropagation (BP) learning algorithm or use the Recursive Least Squares (RLS) algorithm...
This paper is a study of a genetic adaptive scheme design for L2-gain state feedback controllers. It is known that the design of the initial gain producer of the L2-gain state feedback controller (LC) is a difficult problem. The derivative-free optimization, the genetic algorithm, is utilized to resolve the high initial gain problem of LC for a class of nonlinear systems. It is a novel approach for...
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