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Dynamic and recursive oil-reservoir proxy using Elman neural networks
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this work, a reservoir simulation approximation model (proxy) based on recurrent artificial neural networks is proposed. This model is intended to obtain rates of oil, gas and water production at time t+1 from the ...
Asymmetry in neural fields: a spatiotemporal encoding mechanism
(Springer-Verlag, 2013-01-08)
Neural field models have been successfully
applied to model diverse brain mechanisms like visual attention,
motor control, and memory. Most theoretical and modelingworks
have focused on the study of the dynamics of ...
Aerial Load Transportation with Multiple Quadrotors Based on a Kinematic Controller and a Neural SMC Dynamic Compensation
(Springer, 2020-04)
A novel formation control to transport a cable-suspended payload with two quadrotors is presented. The control structure is based on a layered scheme combining a kinematic null-space based controller and a neural sliding ...
Cascade Sliding Control for Trajectory Tracking of a Nonholonomic Mobile Robot with Adaptive Neural Compensator
(Hindawi Publishing Corporation, 2017-07)
A design of sliding mode controllers (SMC) with adaptive capacity is presented. This control technique is formed by two cascaded SMC controllers, one of them having an adaptive neural compensator (ANC); both are put on a ...
Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm
(Institute of Electrical and Electronics Engineers, 2016-06)
This work presents a neuro-adaptive control method in sliding mode control designed in discrete time for SCARA robot arm. The proposed control structure is based on neuro-adaptive sliding mode control to adjust dynamics ...
Learning-Based Neural Dynamic Surface Predictive Control for MMC
(2023-01-01)
Reinforcement learning technique was developed recently as an interesting topic in designing adaptive optimal controllers. This technique explicitly provided a feasible solution to circumvent the 'curse of dimensionality' ...
Adaptive neural sliding mode compensator for a class of nonlinear systems with unmodeled uncertainties
(Elsevier, 2013-09)
This paper addresses the problem of adaptive neural sliding mode control for a class of multi-input multi-output nonlinear system. The control strategy is an inverse nonlinear controller combined with an adaptive neural ...