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Original Articles

ARTIFICIAL INTELLIGENCE AND GRAPH THEORY TOOLS FOR DESCRIBING SWITCHED LINEAR CONTROL SYSTEMS

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Pages 703-741 | Published online: 02 Feb 2007

Figures & data

FIGURE 1 Basic multi-estimation scheme architecture.

FIGURE 1 Basic multi-estimation scheme architecture.

FIGURE 2 Switching graph for a multi-model scheme composed of five models in parallel.

FIGURE 2 Switching graph for a multi-model scheme composed of five models in parallel.

FIGURE 3 Simulation example of a discrete multi-estimation-based scheme.

FIGURE 3 Simulation example of a discrete multi-estimation-based scheme.

FIGURE 4 Walk describing the realization of the switching graph in a concrete example.

FIGURE 4 Walk describing the realization of the switching graph in a concrete example.

FIGURE 5 Single neural network estimator.

FIGURE 5 Single neural network estimator.

FIGURE 6 Multi-estimation neural network.

FIGURE 6 Multi-estimation neural network.

FIGURE 7 General multi-model ANN scheme.

FIGURE 7 General multi-model ANN scheme.

FIGURE 8 Single model-based output.

FIGURE 8 Single model-based output.

FIGURE 9 Multi-model-based neural controller.

FIGURE 9 Multi-model-based neural controller.

FIGURE 10 Switching map for the multi-model ANN.

FIGURE 10 Switching map for the multi-model ANN.

FIGURE 11 Description of the complete control scheme using neural networks.

FIGURE 11 Description of the complete control scheme using neural networks.

FIGURE 12 Comparison between the independent and coupled estimation algorithms.

FIGURE 12 Comparison between the independent and coupled estimation algorithms.

FIGURE 13 Parallelism between multi-model controllers and genetic algorithms.

FIGURE 13 Parallelism between multi-model controllers and genetic algorithms.

FIGURE 14 Comparison between the single model-based adaptive control and the multi-estimation schemes.

FIGURE 14 Comparison between the single model-based adaptive control and the multi-estimation schemes.

FIGURE 15 Fuzzy logic inspired multi-estimation scheme.

FIGURE 15 Fuzzy logic inspired multi-estimation scheme.

FIGURE 16 Classical adaptive control scheme.

FIGURE 16 Classical adaptive control scheme.

FIGURE 17 Combined adaptive control scheme.

FIGURE 17 Combined adaptive control scheme.

FIGURE 18 Membership functions α i, k .

FIGURE 18 Membership functions α i, k .

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