There's only a basic functionality of LTI systems in scipy. The main aim is to bring something similar to control toolbox of Matlab ( http://www.mathworks.com/help/control/index.html) with emphasis on Control Design (PID, Kalman's filter). Some of these things are implementent here http://python-control.sourceforge.net/manual/matlab_strings.html#lqr-lqg-design .
W dniu środa, 12 marca 2014 21:36:07 UTC+1 użytkownik Maciek Barański napisał: > > Hello all, > > I'm Maciej Barański and I'm a student of Automatics and Robotics. In my > studies I've used a lot of Matlab to deal with mathematical and engineering > computations. I've been using python a lot (usually with django). I have > strong background in mathematics (linear algebra, differential equations, > probability and stochastics) and control theory (LTI systems, PID, LQR, > Kalman's filters, nonlinear systems). > I'd like to make a project that will bring the LTI systems to SAGE. This > project would contain: > - bode, nyquist plots > - plotting output of the system (for a common inputs like step, impulse > and more complicated ones) > - interactions with models (such a parallel and serial connections, making > feedbacks) > - computing poles and zeros > - utilities to check the properties of the systems like stability, > controllability and observability > - Kalman's filter > - utilities to generate control like PID, LQR > > I'm looking forward for your feedback. Mostly I'd like to know if it's a > good idea for GSOC and to whom I should ask about this questions? > > Best regards, > Maciej > -- You received this message because you are subscribed to the Google Groups "sage-gsoc" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/sage-gsoc. For more options, visit https://groups.google.com/d/optout.
