ADD: .gitignore

1 files changed, 0 insertions, 45 deletions

diff --git a/templates/MPC.m b/templates/MPC.m
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--- a/templates/MPC.m
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@@ -1,45 +0,0 @@
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-% Copyright (c) 2023, Amon Lahr, Simon Muntwiler, Antoine Leeman & Fabian Flürenbrock Institute for Dynamic Systems and Control, ETH Zurich.
-%
-% All rights reserved.
-%
-% Please see the LICENSE file that has been included as part of this package.
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-classdef MPC
-    properties
-        yalmip_optimizer
-    end
-
-    methods
-        function obj = MPC(Q,R,N,params)
-            nu = params.model.nu;
-            nx = params.model.nx;
-
-            % define optimization variables
-            U = sdpvar(repmat(nu,1,N),ones(1,N),'full');
-            X0 = sdpvar(nx,1,'full');
-
-            % YOUR CODE HERE
-            
-            opts = sdpsettings('verbose',1,'solver','quadprog');
-            obj.yalmip_optimizer = optimizer(constraints,objective,opts,X0,{U{1} objective});
-        end
-
-        function [u, ctrl_info] = eval(obj,x)
-            %% evaluate control action by solving MPC problem, e.g.
-            tic;
-            [optimizer_out,errorcode] = obj.yalmip_optimizer(x);
-            solvetime = toc;
-            
-            [u, objective] = optimizer_out{:};
-
-            feasible = true;
-            if (errorcode ~= 0)
-                feasible = false;
-            end
-
-            ctrl_info = struct('ctrl_feas',feasible,'objective',objective,'solvetime',solvetime);
-        end
-    end
-end
\ No newline at end of file