In responding to the post by "gabrielgga" about system linearization, I looked at the 'lin' script to understand it. It does the linearization by generating a set of random perturbation vectors, perturbing the system, and then numerically solving for the Jacobians. As such, it coughs up a slightly different linearization each time. The linearization is largely accurate, but the difference from ideal is more than I'd (perhaps naively) expect.
Why? If this is a well-known technique, please feel free to point me at a paper. -- Tim Wescott www.wescottdesign.com Control & Communications systems, circuit & software design. Phone: 503.631.7815 Cell: 503.349.8432 _______________________________________________ users mailing list users@lists.scilab.org http://lists.scilab.org/mailman/listinfo/users
