Tools/frameworks/libraries for inverse dynamical modeling
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We have a first order dynamical system: x[t+1] = f(x[t], u[t]), where x is the system state and u are the control inputs.
There are inputs observations and system state observations to learn the model. The goal is to have a mathematical model, that would predict the transient process x[1], x[2], ... x[n] on the basis of known initial state x[0] and control inputs u: u[0], u[1], ..., u[n].
I have several ideas on how to develop an algorithm for solving this problem, but I wonder if there is any that already exists. I was scouting, but didn't find one, probably, because I couldn't recognize that solution actually fits the problem statement. Any ideas are appreciated.
machine-learning
asked 6 hours ago
R. IvR. Iv
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$begingroup$
We have a first order dynamical system: x[t+1] = f(x[t], u[t]), where x is the system state and u are the control inputs.
There are inputs observations and system state observations to learn the model. The goal is to have a mathematical model, that would predict the transient process x[1], x[2], ... x[n] on the basis of known initial state x[0] and control inputs u: u[0], u[1], ..., u[n].
I have several ideas on how to develop an algorithm for solving this problem, but I wonder if there is any that already exists. I was scouting, but didn't find one, probably, because I couldn't recognize that solution actually fits the problem statement. Any ideas are appreciated.
machine-learning
asked 6 hours ago
R. IvR. Iv
11
New contributor
R. Iv is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
We have a first order dynamical system: x[t+1] = f(x[t], u[t]), where x is the system state and u are the control inputs.
There are inputs observations and system state observations to learn the model. The goal is to have a mathematical model, that would predict the transient process x[1], x[2], ... x[n] on the basis of known initial state x[0] and control inputs u: u[0], u[1], ..., u[n].
I have several ideas on how to develop an algorithm for solving this problem, but I wonder if there is any that already exists. I was scouting, but didn't find one, probably, because I couldn't recognize that solution actually fits the problem statement. Any ideas are appreciated.
machine-learning
asked 6 hours ago
R. IvR. Iv
11
New contributor
R. Iv is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
We have a first order dynamical system: x[t+1] = f(x[t], u[t]), where x is the system state and u are the control inputs.
There are inputs observations and system state observations to learn the model. The goal is to have a mathematical model, that would predict the transient process x[1], x[2], ... x[n] on the basis of known initial state x[0] and control inputs u: u[0], u[1], ..., u[n].
I have several ideas on how to develop an algorithm for solving this problem, but I wonder if there is any that already exists. I was scouting, but didn't find one, probably, because I couldn't recognize that solution actually fits the problem statement. Any ideas are appreciated.
machine-learning
machine-learning
asked 6 hours ago
R. IvR. Iv
11
New contributor
R. Iv is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 hours ago
R. IvR. Iv
11
New contributor
R. Iv is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 hours ago
R. IvR. Iv
11
New contributor
R. Iv is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 hours ago
R. IvR. Iv
11
asked 6 hours ago
R. IvR. Iv
11
11
New contributor
R. Iv is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
R. Iv is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
R. Iv is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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