neural network, using simulink, then nn toolbox

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Olalekan Babatunde
Olalekan Babatunde 2017-2-18
编辑： Olalekan Babatunde 2017-3-20
so i have a set of date, in matrix or state space form (A,B,C,D), and i am trying to use nn to detect anomalies in this system. please how do I achieve the following.
  1. get target data to use in the fitting tool
  2. get the training data to use for this system,
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Olalekan Babatunde
Olalekan Babatunde 2017-3-20
编辑：Olalekan Babatunde 2017-3-20
I have the inputs U outputs Y and target/tOUT FOR the systems and the data I obtained had order 601*2.I did some analysis usng nnet toolbox and i think i have some expected results. now I have created 2 models for this systems. but I'm confused as to how to train the system manually using Simulink/ matlab commands and how to identify the outliers. please help
AND PLEASE, how do I plot the step response from the neural network fitting tool. I have used it to analyse the data but I need the step response to complete the method

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回答（1 个）

Abel Babu
Abel Babu 2017-2-21
Hi Olalekan,
This MATLAB example is a good place to start for anomaly detection : https://in.mathworks.com/help/ident/examples/fault-detection-using-data-based-models.html
It describes various approaches to fault detection of systems. All the methods start by first generating the system model as a state-space and then using various methods to account for faults or anomalies, those include - residual analysis, Normal-Deteriorated States etc.
After setting up the system, anomaly detection can be done using either of the methods:
  • Fuzzy C-Means Clustering. See fcm() in Fuzzy Logic Toolbox.
  • Support Vector Machine Classifier. See fitcsvm () in Statistics and Machine Learning Toolbox.
  • Self-organizing Maps. See selforgmap() in Neural Network Toolbox.
This has been documented in the article as well.
Abel
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Olalekan Babatunde
Olalekan Babatunde 2017-3-20
thanks a lot abel, i have been looking through your response and the link you provided, and it has helped me proceed from where i was too. thanks a lot.... i have update the question with the challenges am having now, please look through. thank you for your continued support

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