This paper investigates the direct adaptive control of nonlinear systems using chaotic neural networks. Since the structure of a chaotic neural network ...
This paper presents modified chaotic neural networks with the back-propagation learning algorithm. To evaluate the performance of the proposed neural networks,.
This paper presented a nonlinear compensator using neural networks for trajectory control of robotic manipulators. A comparison of its performance with the ...
Missing: chaotic | Show results with:chaotic
A novel learning control architecture utilizing nonlinear computational properties of neural networks is presented. The nonlinear dynamics of the ...
Missing: chaotic | Show results with:chaotic
Robot manipulator control using neural networks: A survey
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Apr 12, 2018 · In this paper, we make a review of research progress about controlling manipulators by means of neural networks.
In this paper, we make a review of research progress about controlling manipulators by means of neural networks. The problem foundation of manipulator control.
Sep 13, 2024 · In combination with the nonlinear control structure of the ADRC controller, the robust trajectory tracking of robotic manipulators is achieved.
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Jan 1, 2021 · Page 1. Page 2. Neural Network Control of Robot. Manipulators and Nonlinear Systems. Page 3. Page 4. Page 5. Neural Network Control of Robot.
Jan 7, 2021 · This paper aims at the trajectory tracking problem of robot manipulators performing repetitive tasks in task space.
By using a Lyapunov-like framework, chaotification of robot manipulators is assured with an adaptive neural network control law. A two layer neural network is ...