Examples v0.1.6
================

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   :caption: V0.1.6 - Basic steps

   /examples-v016/basic_steps.ipynb

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   :caption: V0.1.6 - Multiple Inputs usage

   /examples-v016/multiple_inputs_example.ipynb

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   :caption: V0.1.6 - Information Criteria - Examples

   /examples-v016/information_criteria_examples.ipynb

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   :maxdepth: 1
   :caption: V0.1.6 - Using Extended Least Squares Algorithm

   /examples-v016/extended_least_squares.ipynb

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   :maxdepth: 1
   :caption: V0.1.6 - Setting specific lags

   /examples-v016/defining_lags.ipynb

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   :maxdepth: 1
   :caption: V0.1.6 - Parameter estimation methods

   /examples-v016/parameter_estimation.ipynb

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   :maxdepth: 1
   :caption: V0.1.6 - MetaMSS Algorithm

   /examples-v016/metamss.ipynb

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   :maxdepth: 1
   :caption: V0.1.6 - Accelerated Orthogonal Least-Squares algorithm

   /examples-v016/aols.ipynb

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   :maxdepth: 1
   :caption: V0.1.6 - F-16 aircraft

   /examples-v016/f_16_benchmark.ipynb

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   :maxdepth: 1
   :caption: V0.1.6 - NARX Neural Network

   /examples-v016/narx_neural_network.ipynb

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   :maxdepth: 1
   :caption: V0.1.6 - General Estimators

   /examples-v016/general_estimators.ipynb
   
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   :maxdepth: 1
   :caption: V0.1.6 - Simulate a predefined model

   /examples-v016/simulating_a_predefined_model.ipynb
   
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   :maxdepth: 1
   :caption: V0.1.6 - System Identification Using Adaptive Filters

   /examples-v016/system_identification_using_adaptative_filters.ipynb
   
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   :maxdepth: 1
   :caption: V0.1.6 - Identification of an electromechanical system

   /examples-v016/identification_of_an_electromechanical_system.ipynb
   
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   :maxdepth: 1
   :caption: V0.1.6 - N-steps-ahead simulation

   /examples-v016/n_steps_ahead_prediction.ipynb