%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % 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_TE properties yalmip_optimizer end methods function obj = MPC_TE(Q,R,N,params) % 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