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Feeds
Multiple sequences for Neural State-Space Model training and different sampling times
Hi Marco, Thanks for your questions. You can definitely use several different experiments for training neural state spac...
alrededor de 1 año hace | 0
| aceptada
The Best type of Neural Network to Create a battery Charging Control System
Hi Alex, Thanks for the interesting question. I think the question about the type of neural network is not the main question...
alrededor de 1 año hace | 1
| aceptada
PID Autotuner does not work?
When I try to tune PID controller in your model I get an error that linearization failed because RMS measurement block, i..e, th...
más de 1 año hace | 0
PID Tuner couldn't find a stabilizing controller
Your sysr system is somewhat tricky - several unstable poles. PID Tuner tries to come up with a guess/estimate for response tim...
más de 1 año hace | 0
Difference open vs closed loop pid autotuner
Hi, Initial controller means PID controller with the gain values you already have from previois design, educated guesses, etc...
más de 1 año hace | 0
How to train Model Reference Controller
Hi. This block is not actively maintained anymore. Please try Model Reference Adaptive Control block in Simulink Control Design...
más de 1 año hace | 0
Need MATLAB code for tuning of multiple PI controllers in Simulink
There are a couple of options you could explore. Tune each inidividual PI controller. You can use closed-loop PID autotuner blo...
más de 1 año hace | 0
| aceptada
Error in port widths or dimensions. in RL output agent
Hi, there is not enough information to really help you. Can you share the code where you define and train your agent. The error...
más de 1 año hace | 0
how can we create an LPV model by using data driven state space model of induction motor under various rpm (from 1000 to 10000, 10sets)
Hi, thanks for the question. You can create LPV model using lpvss function. Please further refer to this page, Using LTV and L...
más de 1 año hace | 0
| aceptada
What kind of Reinforcement Learning algorithm is used in this simulations?
Hi, I am not sure what part of Onramp you are asking about, because your link does not point to a specific module. Onramp dis...
más de 1 año hace | 0
Prepare dataset for Neural State Space to be used as StateFcn in nlmpc
Thanks for posting the code. To de-normalize the data you need to save mean and standard deviation data used for normalizatio...
más de 1 año hace | 0
| aceptada
How does the RL Agent Simulink Block Internal Mechanism Actually Work?
Hi Aaron, RL Agent block is implemented with a MATLAB object. There are different types of agents avialble. This is explained ...
más de 1 año hace | 0
| aceptada
Dynamic system modelling with neuronal networks
We have see that neural ODEs do very well with capturing nonlinear dynamics. System Identification Toolbox provides a pretty sim...
más de 1 año hace | 0
| aceptada
More accurate alternative to rlocfind to analyze root locus in control systems engineering
Hi, Here is a way to do it (not the most efficient, but it works). % Define the transfer function h = tf([2 5 1], [1 2 3]); ...
alrededor de 2 años hace | 1
Torque controlled BLDC motor
Maybe another approach could be to use reinforcement learning and formulate a reward to minimize torque ripple. This way you wou...
alrededor de 2 años hace | 0
Equivalent of Neural ODE for discrete time state space models
We added idNeuralStateSpace object that support both continuous and discrete time model. Maybe this could be useful. It was crea...
más de 2 años hace | 1
| aceptada
My deep learning network design APP, no matter what network I use, such as Alexnet, cannot display the training-process graph, and the display area is blank, MATLAB R2022b
Hi, Are you by any chance running this code in MATLAB Grader? Based on the other answer it appears MATLAB Grader does not su...
más de 2 años hace | 0
Using a neural network with a dropout layer in Simulink
Hi, I'd like to mention a couple of things. Please take a look at the doc. It says: "At training time, the layer randomly set...
más de 2 años hace | 0
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Deep learning Toolbox - LSTM Training
Hi Patrick, Two suggestions: Try to test your LSTM network in MATLAB first. Does it match the validation data. If it does, th...
casi 3 años hace | 0
How can i use a DLNetwork type Neural Network from Matlab in Simulink?
Hello, You can use Simulink blocks that ship with Deep Learning Toolbox. Please take a look at Deep Learning with Simulink se...
más de 3 años hace | 0
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Import a Neural Network trained in PyTorch in Simulink
Hi Marco, At the moment the direct import of PyTorch models into MATLAB (and Simulink) is not supported. You can try exportin...
más de 3 años hace | 2
Link Simulink with Neural Network Toolbox
Please see Deep Learning with Simulink documentation page.
más de 3 años hace | 0
Deep Learning Toolbox and Neural Network Toolbox
Neural Network Toolbox was renamed to Deep Learning Toolbox in 2018, so there is no separate license. The error message seems to...
más de 3 años hace | 1
How to use LSTM based trained Recurrent Neural Network in Simulink?
Hi, We added a library of blocks to integrate deep learning networks into Simulink models starting with 20b. Support for LSTM ...
más de 3 años hace | 0
Incorporate trained LSTM network in simulink
Hi, Starting with 21a you can use Stateful Predict and Stateful Clasiffy blocks. Take a look at this example too. Hope this h...
más de 3 años hace | 0
It is possible to implement a LSTM neural network built with Keras Python in a Simulink block?
You can do it in two steps: Import a model into MATLAB. See this function for TensrFlow 2 or this function to import from Kera...
más de 3 años hace | 0
How to deploy trained Faster RCNN object detector in Simulink
As of R2021b you can use Deep Learning Object Detector block in Computer Vision Toolbox. For mpre information please see Deep Le...
más de 3 años hace | 0
Deep Learning and Simulink
Starting with R2020b you can use Image Classifier block that ships with Deep Learning Toolbox. For more information on how to u...
más de 3 años hace | 0
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