渐近预测方法（APM）

资源描述一个简单而快速的APM（渐近预测法）实时LTI SISO控制算法（线性时不变的单输入单输出）系统已被提出。在每个采样周期最优控制信号是用平凡的计数器控制序列而不是要求QP计算（Quadratic Programming）的数值方法。用MATLAB仿真，APM控制已经比较苛刻的标准MPC（模型预测控制）对一些典型的高阶动力系统或无输出约束算法。仿真结果表明，与未成年人的软件和硬件要求APM算法的竞争力。 ； ； ； ；

test_all.m
apm
apm.m
apm_app.m
apm_details.m
apm_get.m
apm_info.m
apm_load.m
apm_meas.m
apm_option.m
apm_sol.m
apm_solve.m
apm_tag.m
apm_web.m
apm_web_root.m
apm_web_var.m
csv_data.m
csv_element.m
csv_load.m
csv_lookup.m
parse.m
t0_load.m
urlread_apm.m
demo
apm.py
demo.apm
demo.csv
main.m
main.py
README.txt
example_4tank
4tank.apm
4tank_nlc.apm
control.csv
control.m
control_h[1].png
control_h[2].png
prbs.m
prbs.png
prbs.txt
prbs10.txt
prbs360.csv
prbs50.csv
solution_prbs.csv
step.csv
step.m
step.png
example_cstr_seq
cstr.apm
cstr.csv
cstr.jpg
cstr1.m
main.m
matlab_results.png
README.txt
solution_nlc.csv
example_cstr_simul
cstr.apm
cstr.csv
cstr.jpg
cstr1.m
main.m
matlab_results.png
README.txt
solution_nlc.csv
example_cstr_steps
cstr.apm
cstr.jpg
cstr1.csv
cstr1.m
cstr2.csv
main.m
matlab_results.png
README.txt
example_distillation
distill.apm
distill_pid.apm
horizon_ctl.csv
horizon_sim.csv
main_nlc.m
main_pid.m
replay_ctl.csv
replay_sim.csv
test.m
example_hs71
hs71.apm
hs71.gif
main.m
solution_trial.csv
example_nlc
data.csv
main.m
matlab_ctrl.png
model.apm
example_pendulum
pendulum.apm
pendulum.m
plot_all.m
replay.csv
test.m
example_sbml_erbb
erbb.apm
erbb.csv
main.m
example_sbml_vaccine
main.m
results.png
solution_vaccine.csv
vaccine.apm
vaccine_0.7.csv
vaccine_0.9.csv
license.txt