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system identification with stable zeros
How can I obtain a linear model with stable "zeros" when I use the Matlab System Identification Toolbox? Is there any way to f...
10년 초과 전 | 답변 수: 0 | 1
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how to run a Simulink model in a Matlab M file in this way?
I have simulink model "Mod_Sim" in simulink with an input port "inp" and an output port "out". I want to send inputs to this mod...
10년 초과 전 | 답변 수: 1 | 0
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solver change in mpc toolbox
Instead of "qp" solver in MPC toolbox, I want to use another solver (for example, cplex). How can this be done? Thank you.
10년 초과 전 | 답변 수: 0 | 0
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Why are the results (A0, B0, C0 and D0) of the following code different for Matlab R2011b (32 bit) and Matlab R2015a (32 bit)? amx661.mat is attached.
clc; clear all; close all; %ARMAX MODEL PARAMETERS load amx6661; %loading the identified model amx_model=am...
10년 초과 전 | 답변 수: 0 | 0
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adaptive model predictive control
<</matlabcentral/answers/uploaded_files/31062/pic1.png>> In the following link (or above picture) in the controlled system, w...
10년 초과 전 | 답변 수: 1 | 0
1
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confused by "predict" fuction!
Here is the link for explaining the difference between k-step ahead prediction and simulation performance of a linear model: ...
11년 초과 전 | 답변 수: 0 | 0
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When I run this function, it gives the error "Data 'u_pr' (#427) is inferred as a variable size matrix, while its specified type is something else.". What is the solution for this problem? I will be happy for helps.
function [opt_st, u_pr, y_pr, cv_pr] = fcn( nu, ny, Np) %#codegen coder.extrinsic('mpc_ea'); opt_st = zeros(1); u_pr = zeros(...
11년 초과 전 | 답변 수: 1 | 0
