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I'd like to implement some techniques from classical linear control for learning and reference. This issue should only be concerned with SISO systems—MIMO systems and nonlinear extensions can be left …
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Perhaps using a different integrator than the default (e.g. LSODA?) in ```scipy.integrate.solve_ivp```?
The example in https://github.com/python-control/python-control/blob/main/examples/simulating…
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Tao Bian 의 value iteration (VI) 기반 CT ADP 를 구현한다 [1, 2].
Kleinman 알고리즘을 online+partially model-free 로 가져간 것이 linear IRL 의 시작인 만큼 [3], ~~VI CT ADP [1, 2] 를 online 으로 확장하거나~~ ~~([1] 을 읽을 때는 왜 online …
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With `ControlSystem` we were attempting to build the stack towards doing nonlinear optimal control, but we found that having a separate `ControlSystem` type is the wrong way to go about doing it becau…
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Hi, developers
Thanks for your efforts to make it work in python. I have a practical question. If your package allows users to save the parameters used in the previous registration, then use it in …
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다음 논문을 follow-up 해보려고 합니다. 읽고 함께 얘기해보실 분?
[1] J. Zhao and M. Gan, “Finite-horizon optimal control for continuous-time uncertain nonlinear systems using reinforcement learning,” Int. J. Syst. Sci., …
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Currently, IDAS from SUNDIALS is used, however, LIMEX (linear implicit extrapolation) is a very flexible and stable one step method (variable order and step size is easy). It can be parallelized to so…
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Nice work. Could you share the reference paper?
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Because of the do ... while loop, the iterated solver schemes always perform at least one nonlinear iteration, even though the 2 parameters controlling the maximum number of nonlinear iterations can b…
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### Description
When a model is exported as an FMI 2.0 FMU it prints messages directly to the console that cannot be suppressed.
### Steps to Reproduce
See https://github.com/CATIA-Systems/FM…