Open AndyJuan opened 1 year ago
mathiasKorte
commented
1 year ago @AndyJuan , thanks for your message! We implemented DDMPC based on this paper: "Data-driven model predictive control: closed-loop guarantees and experimental results" (https://arxiv.org/abs/2107.00966). But the whole idea of Data-driven MPC is first mentioned in "Data-Enabled Predictive Control: In the Shallows of the DeePC" (https://arxiv.org/abs/1811.05890)
AndyJuan
commented
1 year ago Appreciate your reply! It helped me a lot!
------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2023年2月9日(星期四) 晚上8:04 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [mathiasKorte/data_driven_MPC] DDMPC from which paper (Issue #1)
@AndyJuan , thanks for your message! We implemented DDMPC based on this paper: "Data-driven model predictive control: closed-loop guarantees and experimental results" (https://arxiv.org/abs/2107.00966). But the whole idea of Data-driven MPC is first mentioned in "Data-Enabled Predictive Control: In the Shallows of the DeePC" (https://arxiv.org/abs/1811.05890)
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>
AndyJuan
commented
1 year ago Hello~, sorry to bother you again, I have another question.
In your simulation file "dc_motor_example", the system model of dc motor A=[-1.2,0.03;0.075,-1], B=[2;0], C=[0,1], which paper did you get this model from? The two papers you sent me in the email did not mention this model of dc motor.
I look forward to hearing from you, thank you very much!
------------------ 原始邮件 ------------------ 发件人: "刘娟" @.>; 发送时间: 2023年2月9日(星期四) 晚上8:10 @*.**@*.>; @.>; 主题: 回复： [mathiasKorte/data_driven_MPC] DDMPC from which paper (Issue #1)
Appreciate your reply! It helped me a lot!
------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2023年2月9日(星期四) 晚上8:04 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [mathiasKorte/data_driven_MPC] DDMPC from which paper (Issue #1)
@AndyJuan , thanks for your message! We implemented DDMPC based on this paper: "Data-driven model predictive control: closed-loop guarantees and experimental results" (https://arxiv.org/abs/2107.00966). But the whole idea of Data-driven MPC is first mentioned in "Data-Enabled Predictive Control: In the Shallows of the DeePC" (https://arxiv.org/abs/1811.05890)
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>
mathiasKorte
commented
1 year ago @AndyJuan , sorry for the late replay. Sorry I do not remember where this example comes from. But the DD-MPC should work for a wide range of unstable LTI-systems
AndyJuan
commented
1 year ago Thank you for kindly explanation!
Thanks, Andy Juan
------------------ 原始邮件 ------------------ 发件人: "mathiasKorte/data_driven_MPC" @.>; 发送时间: 2023年2月12日(星期天) 晚上7:47 @.>; @.**@.>; 主题: Re: [mathiasKorte/data_driven_MPC] DDMPC from which paper (Issue #1)
@AndyJuan , sorry for the late replay. Sorry I do not remember where this example comes from. But the DD-MPC should work for a wide range of unstable LTI-systems
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>
Hello, nice too meet you! Thank you for the open source code! Which paper did this DDMPC technology come from? I look forward to your reply, thank you very much!