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Effect of Neural Controller on Adaptive Cruise Control
2016Adaptive cruise control is a system which controls a vehicle equipped with radars and a control unit to maintain either velocity of the vehicle or the distance between the preceding vehicle. The basic principle of this system is to read and interpret the radar measurement to determine the required actuating signals and apply these signals to reach the ...
Arden Kuyumcu, Neslihan Serap Sengör
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Maximum likelihood adaptive neural controller
Neural Networks, 1994Abstract A concept of model-based neural controller is described, which incorporates a model of a controlled system into a neural network architecture. This concept results in efficient learning requiring small amounts of training data. This is due to the fact that all synapse weights are determined by a relatively small number of model parameters ...
Leonid I. Perlovsky, John Jaskolski
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Adaptation in Neural Activity for Directional Control
2007 International Joint Conference on Neural Networks, 2007In freely moving rats, motor cortical recordings enabled the use of a closed loop system to replace paddle pressing for a directional task. In this system, firing rates were estimated from several (8-10) motor cortical neurons at several consecutive time points. These firing rates were concatenated to form a neural activity vector (NAV).
Byron Olson, Jennie Si
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Adaptive Neural Control of Nonlinear Systems
2001The aim of the present paper is to integrate a recurrent neural network in two schemes of real-time soft computing neural control. There are applied the following control schemes: an indirect and a direct trajectory tracking control, using the state and parameter information, given by an identification recurrent neural network.
Ieroham S. Baruch +3 more
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Adaptive Battery Control with Neural Networks
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019The return on investment of a battery system is maximized if the battery control strategy is appropriately matched to the operating environment (e.g., pricing scheme, electrical load). For residential battery systems, the current practice is to statically determine the control policy prior to system installation; the battery subsequently spends upwards
Fiodar Kazhamiaka +2 more
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A neural framework for adaptive robot control
Neural Computing and Applications, 2009This paper investigates how dynamics in recurrent neural networks can be used to solve some specific mobile robot problems such as motion control and behavior generation. We have designed an adaptive motion control approach based on a novel recurrent neural network, called Echo state networks.
Mohamed Oubbati, Günther Palm
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A neural network controller by adaptive interaction
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001We propose an approach to neural network controllers by using a new adaptation algorithm. The algorithm is derived from the theory of adaptive interaction. The principle behind the adaptation algorithm is a simple but efficient methodology to perform gradient descent optimization in the parametric space. Unlike the approach based on the backpropagation
George Saikalis, Feng Lin
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Adaptive Neural Network Control of Helicopters
2006In this paper, we propose robust adaptive neural network (NN) control for helicopter systems by using the Implicit Function Theorem and the Mean Value Theorem, which are useful tools for handling nonlinear nonaffine systems. We focus on single-input single-output (SISO) helicopter systems, which are exemplified by certain single-channel modes of ...
Shuzhi Sam Ge, Keng Peng Tee
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Adaptive neural control of a greenhouse
2019 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2019Agriculture systems such as greenhouses are very hard to control with classical regulators as a consequence of their big complexity and their nonlinear dynamic behavior. The intention of this paper is to achieve an adaptive neural control of a greenhouse.
Khaled Dahmani +3 more
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An Adaptive Neural Controller for a Robot
IFAC Proceedings Volumes, 1998Abstract This article describes the implementation of a neural net based trajectory following control for a simplified model of the Puma 560 manipulator robot, assuming the usage of electric drivers and taking into account the flexibility in the transmissions.
Marcelo R. Stemmer +2 more
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