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authorYanzhenXiangRobotics <xyz000327@gmail.com>2023-04-25 20:42:56 +0200
committerYanzhenXiangRobotics <xyz000327@gmail.com>2023-04-25 20:42:56 +0200
commitc11fe8fc6094ce3823a4a8b9b78ea8ea81e65778 (patch)
treeb5dcaf73bb9842ee72e457a3bac7ce6589b42122 /templates/MPC.m
parentADD: .gitignore (diff)
downloadmpc_pe-c11fe8fc6094ce3823a4a8b9b78ea8ea81e65778.tar.gz
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+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% 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