Emmanouil Tzorakoleftherakis

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Adaptive model predictive controller
Have you seen this example?

4 giorni fa | 0

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Independently working multiple reinforcement learning agents
Centralized learning makes learning and exploration more efficient because the agents share things like experiences. If agents p...

4 giorni fa | 0

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Problem with Using codegen commands to generate C++ code on NLMPC Code Generation Tutorial
You did not specify what kind of error you were seeing? In my case, doing the following worked: func = 'nlmpcmoveCodeGeneration...

7 giorni fa | 0

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RL agent does not learn properly
Some comments: 1) 150 episodes is really not much, you need to let the training continue for a bit longer 2) There is no guara...

8 giorni fa | 0

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Action of the RL agents actions change when deployed in a different enviornment
A couple of suggestions/comments: 1) You mentioned env1 and env2 are different - why are you expecting to see the same results?...

8 giorni fa | 0

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How to specify a nonlinear mpc controller for continuous time delay differential equation state function?
You can basically add states to help model the delays. So your new discretized state vector would be [x(k) y(k) x(k-1) y(k-1) .....

14 giorni fa | 1

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Plotting states while doing RL training
We recently added a mechanism that allows you to log any information you find helpful during training. Please take a look at thi...

14 giorni fa | 0

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Inquiry about Neural Network Structure for Lane Keeping Assist Example
For this example, we did not rely on any papers/external sources, the development team put together this architecture when they ...

14 giorni fa | 0

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Although I adjusted the Noise Options DDPG actions are always equal to the maximum and minimum value.
At first glance I don't see anything wrong. A couple of suggestions: 1) Try reducing the noise variance further, until you see ...

15 giorni fa | 0

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How to log signal data from simulink to matlab with higher time interval to avoid high data storage?
If you are using R2022b, please take a look at this page. We recently added enhanced logging capabilities in Reinforcement Learn...

19 giorni fa | 1

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How to input action in reinforcement learning template environment?
Easiest thing you can do is add a break point and display what "action" variable is. It's obviously not a cell array so you cann...

21 giorni fa | 0

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How to set the state with different variables in properties?
Hi Yang, We have an example in Reinforcement Learning Toolbox that does training based on nonhomogeneous observations, and spec...

22 giorni fa | 0

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Receiving only one joint angle instead of a cycle of values necessary for walking during simulation?
Hello, There are several open questions here: 1) If you want to use imitation learning, you need to have input output data. In...

22 giorni fa | 1

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Terminal Weights to nlmpc
For nonlinear mpc, the easiest way to do that is to use the multistage formulation and block. Then you can set constraints/cost ...

25 giorni fa | 0

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How to put vector as a element in rlNumericSpec?
You could do something along the lines of: ObservationInfo(1) = rlNumericSpec([1 1]); ObservationInfo(1).Name = 'scalar'; Obs...

26 giorni fa | 0

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Discretisation of a non-linear LTI system
If you have the dynamics in symbolic form, you need to turn it into a form that can be directly consumed by Model Predictive Con...

29 giorni fa | 0

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How to import single input and three output data (of simulink model) stored in workspace, using system identification app (present in apps option) in matlab ?
Have you looked at this example which trains a state space model and then uses it for MPC design?

29 giorni fa | 0

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How to save multiple trained RL Agents?
You can really do whatever makes sense to you. Either save them separately or in the same mat file as follows: save('Agents.mat...

29 giorni fa | 0

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I'm getting the following error while doing the state update in mpc
Looks like the error is quite descriptive here, please check the dimensions of A, x, u, and B1 maybe by using a break point to s...

circa un mese fa | 0

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How to optimize a parameter using Nonlinear model predictive controller
Looks like you are referring to parameters defined inside the prediction model/state function of the MPC controller. You can mak...

circa un mese fa | 0

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Problems importing Farama Gymnasiums (previously Open AI gym) continuous environments in MATLAB to use RL toolbox
Hi Alberto, In the post you are mentioning, I recommended a 3rd party tool to use OpenAI Gym with Reinforcement Learning Toolbo...

circa un mese fa | 0

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how to choose the alternate cost function in MPC command line window? and can we know which cost function MPC block is considering?
By default, MPC controller will use the standard cost. If you want to use the alternate cost, you can see how to do it in this e...

circa un mese fa | 0

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Can we equate or un-equate the two MV's of the MPC controller in command line?
Hello, A couple of points first: 1) I am assuming your MVs are continuous (if they are discrete, what you are asking is not su...

circa un mese fa | 0

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Reinforcement Learning agent converges to a suboptimal policy
Hello, In your question you mention a graph but it has not been attached? It sounds like the agent you trained has converged t...

circa un mese fa | 0

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reinforcement learning line tracer with Simulink
The closest I can think of are these examples in Reinforcement Learning Toolbox: https://www.mathworks.com/help/reinforcement-l...

circa un mese fa | 0

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reinforcement learning train-progress
Hi, If you have saved the training results, you can use this function to recreate the plot.

circa un mese fa | 0

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How do I randomize the value in a constant block for a local reset function for RL training
The num2str([10 10 10]) evaluates to '10 10 10' without brackets which is what causes the problem. Instead, just put '[10 10 10]...

circa 2 mesi fa | 0

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Example: Train DDPG Agent to Swing Up and Balance Pendulum: Where are mechanical constants initialized ?
I am assuming the question is about this example. Inside the pendulum subsystem, we are modeling the equation (I + ml^2) theta_...

circa 2 mesi fa | 1

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How to send values to workspace during reinforcement agent validation for further plot and analysis. Using "RUN" button on Simulink produces some difference from Validation.
Hello, First, to answer your point about the simulation differences between using the "Play" button vs using the "sim" command ...

circa 2 mesi fa | 0

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MPC Toolbox : How to set "time optimal" Control problem using Custom Constrain function?
Hello, Unfortunately you cannot solve time-optimal problems with Model Predictive Control Toolbox because time cannot be used a...

circa 2 mesi fa | 0

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Emmanouil Tzorakoleftherakis

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