From e29b64e1319f9b3e4d0485207aa5841992dd1486 Mon Sep 17 00:00:00 2001 From: Hirokazu Ishida <38597814+HiroIshida@users.noreply.github.com> Date: Wed, 22 Jul 2020 04:58:06 +0900 Subject: [PATCH] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index d1ff04d..9706535 100644 --- a/README.md +++ b/README.md @@ -7,6 +7,8 @@ This repository includes examples for the tube model predictive control (tube-MP 2) control_toolbox (matlab)
3) Multi-Parametric Toolbox 3 (open-source and freely available at http://people.ee.ethz.ch/~mpt/3/) +## Feedback, bug reports, contributions +If you find this package helpful, giving a "star" to this repositry will be a happy feedback for me! If you find a bug, or have more broader kind of quession about tube MPC,please post that in the [issue page](https://github.com/HiroIshida/robust-tube-mpc/issues). I will try hard to respond to questions via e-mail but, I **strongly recommend** do it in the issue page. It's much easier for me to keep myself on track. ## Usage See `example/example_tubeMPC.m` and `example/example_MPC.m` for the tube-MPC and generic MPC, respectively. Note that every inequality constraint here is expressed as a convex set. For example, the constraints on the state `Xc` is specified as a rectangular, which is constructed with 4 vertexes. When considering a 1-dim input `Uc`, `Uc` will be specified by min and max value (i.e. `u∊[u_min, u_max]`), so it will be constructed by 2 vertexes. For more detail, please see the example codes.