Results 241 to 250 of about 158,186 (268)

Neural Adaptive Control Technology

1996
Part 1 Neural adaptive control technology: discrete-time neural model structures for continuous nonlinear systems - fundamental properties and control aspects, J.C. Kalkkuhl and K.J. Hunt continuous-time local model networks, P.J. Gawthrop nonuniform sampling approach to control systems modelling with feedforward networks, R.
R Zbikowski, K J Hunt
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An adaptive neural controller and direct adaptive controllers for robot manipulators in the joint space

2005 International Symposium on Computational Intelligence in Robotics and Automation, 2005
Direct adaptive control techniques for robot manipulators in joint space coordinates are provided. Comparison between a proposed adaptive neural controller and direct adaptive control techniques (computed-torque and passivity-based controllers) are simulated for the same trajectory, considering the presence of the friction torques.
Nardenio Almeida Martins, Maycol de Alencar   +1 more
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Neural networks predictive control using an adaptive control rate

2013 International Conference on Control, Decision and Information Technologies (CoDIT), 2013
A model predictive control design for nonlinear systems based on artificial neural networks is discussed. The Feedforward neural networks are used to describe the unknown nonlinear dynamics of the real system. The backpropagation algorithm is used, offline, to train the neural networks model.
Ahmed Mnasser, Faouzi Bouani, Mekki Ksouri   +2 more
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Neural networks as direct adaptive controllers

1993
A learning scheme for multilayer feedforward neural networks used as direct adaptive controllers of nonlinear plants is suggested. This scheme is a supervised steepest descent one that does not require backpropagation of the error. Using a neural network controller trained with this method does not require the identification stage and this makes it ...
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A library of adaptive neural networks for control purposes

Proceedings. IEEE International Symposium on Computer Aided Control System Design, 2003
In this paper, a library of adaptive neural networks to be used within the Simulink/spl reg/ environment is presented. The library has been developed by the authors with the intent of giving to the Simulink user an easy access to a variety of adaptive approximators.
G. Campa, FRAVOLINI, Mario Luca, M. R. Napolitano   +2 more
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Adaptive neural flight control system for helicopter

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2009
This paper presents an adaptive neural flight control design for helicopters performing nonlinear maneuver. The control strategy uses a neural controller aiding an existing conventional controller. The neural controller uses a real-time learning dynamic radial basis function network, which uses Lyapunov based on-line update rule integrated with the ...
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Nonlinear Adaptive Neural Control

2001
Neural networks are capable of learning and reconstructing complex nonlinear mappings and have been widely studied by control researchers in the design of control systems. A large number of control structures have been proposed, including supervised control (Werbos, 1990), direct inverse control (Miller et al., 1990), model reference control (Narendra ...
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Command Filter-Based Adaptive Neural Control Design for Nonstrict-Feedback Nonlinear Systems With Multiple Actuator Constraints

IEEE Transactions on Cybernetics, 2022
Huanqing Wang, Shijia Kang, Xudong Zhao   +2 more
exaly  

Predefined-Time Adaptive Neural Tracking Control of Switched Nonlinear Systems

IEEE Transactions on Cybernetics, 2023
Huanqing Wang, Miao Tong, Xudong Zhao
exaly  

Neural Observer and Adaptive Neural Control Design for a Class of Nonlinear Systems

IEEE Transactions on Neural Networks and Learning Systems, 2018
Ｂing Ｃｈｅｎ, Huaguang Zhang, Peter X Liu   +2 more
exaly