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Landslide is a major geo-environmental hazard which imparts serious threat to lives and properties. The slope failures are due to adverse inherent geological conditions triggered by an external factor. This paper proposes a new method for the prediction of displacement of step-like landslides, by accounting the controlling factors, using recently proposed extreme learning adaptive neuro-fuzzy inference...
This paper incorporates the regularization strategy of kernel based extreme learning machines (ELM) to improve the performance of a neuro-fuzzy learning machine. The proposed learning machine, regularized extreme learning adaptive neuro-fuzzy inference system (R-ELANFIS), has the advantages of reduced randomness, reduced computational complexity and better generalization. The parameters of the fuzzy...
In the field of robotics, the two wheel mobile manipulator has the potential to perform wide range of applications. Balancing of the system becomes a bothering task due to the highly unstable nature of the system. Nonlinear model of wheeled mobile manipulator is developed using Lagrange's equations by considering the dynamics of wheel and links. Control method for balancing the two wheeled mobile...
This paper presents composite control of flexible link flexible joint manipulator for precise position tracking and vibration suppression control simultaneously. The dynamic model of the manipulator has been developed using Lagrangian mechanics and Assumed Modes Method (AMM). The link has been considered as an Euler-Bernoulli beam subjected to a small angular displacement. A computed torque (CT) control...
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