Journal ArticleDOI
Neural networks for nonlinear internal model control
Kenneth J. Hunt,D. Sbarbaro +1 more
- Vol. 138, Iss: 5, pp 431-438
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TLDR
In this paper, a novel technique, directly using artificial neural networks, is proposed for the adaptive control of nonlinear systems, where the ability of neural networks to model arbitrary nonlinear functions and their inverses is exploited.Abstract:
A novel technique, directly using artificial neural networks, is proposed for the adaptive control of nonlinear systems. The ability of neural networks to model arbitrary nonlinear functions and their inverses is exploited. The use of nonlinear function inverses raises questions of the existence of the inverse operators. These are investigated and results are given characterising the invertibility of a class of nonlinear dynamical systems. The control structure used is internal model control. It is used to directly incorporate networks modelling the plant and its inverse within the control strategy. The potential of the proposed method is demonstrated by an example.read more
Citations
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Journal ArticleDOI
Experimental application of partitioned model-based control to pH neutralization
TL;DR: In this paper, a model-based nonlinear control strategy is demonstrated using an experimental pH neutralization process, which involves a partitioned model structure that consists of a linear ARX model and a nonlinear neural network model, in the context of internal model control.
A Comparison between a PID and Internal Model Control using Neural Networks
Dias F. Morgado,Alexandre Mota +1 more
TL;DR: An application of temperature control for a reduced scale prototype kiln where two different solutions are proposed: an Internal Model Control using Neural Networks and a PID tuned using a Genetic Algorithm with a Neural Network model of the plant.
Proceedings ArticleDOI
Inverse System Control of Nonlinear Systems Using LS-SVM
TL;DR: Simulation results demonstrate LS-SVM method is better than SVM in accuracy, static state performance as well as computer cost.
Journal ArticleDOI
Real-time adaptive tracking of DC motor speed using U-model based IMC
Muhammad Shafiq,Naveed Butt +1 more
TL;DR: A novel technique, involving U-model based IMC (Internal Model Control), is proposed for the adaptive control of nonlinear dynamic plants such as the DC-Motor with more general appeal than many other schemes involving polynomial NARMAX model and the Hammerstein model.
Journal ArticleDOI
Local model networks for nonlinear system identification
TL;DR: The paper describes the general Local Model network and compares this with the special case of an RBF neural network and proposes a new hybrid optimization algorithm for training the Local Model Network, that uses a combination of linear and nonlinear techniques.
References
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Journal ArticleDOI
Internal model control. A unifying review and some new results
Carlos E. García,Manfred Morari +1 more
Journal ArticleDOI
A multilayered neural network controller
TL;DR: A modified error-back propagation algorithm, based on propagation of the output error through the plant, is introduced, for learning several learning architectures for training the neural controller to provide the appropriate inputs to the plant.