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1. web.stanford.edu › ~boyd › papersIncremental Proximal Multi-Forecast Model Predictive Control

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   28. Apr. 2024 · Incremental Proximal Multi-Forecast Model Predictive Control. Working draft, November 2021. Multi-forecast model predictive control (MF-MPC) is a control policy that creates a plan of actions over a horizon for each of a given set of forecasted scenarios or contingencies, with the constraint that the first action in all plans be the same.

2. web.stanford.edu › ~boyd › papersLearning Convex Optimization Control Policies - Stanford...

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   13. Mai 2024 · Proceedings of Machine Learning Research, 120:361–373, 2020. Many control policies used in various applications determine the input or action by solving a convex optimization problem that depends on the current state and some parameters. Common examples of such convex optimization control policies (COCPs) include the linear quadratic ...

3. web.stanford.edu › ~boyd › papersMaximum Torque-per-Current Waveform Design for Induction Motors...

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   Maximum Torque-per-Current Waveform Design for Induction Motors via Semidefinite Programming. Proceedings IEEE Conference on Decision and Control, pages 1920-1925, December 2016. We present a method for finding current waveforms for induction motors that minimize resistive loss while achieving a desired average torque output.

4. lkml.org › lkml › 2024/5/10LKML: Stephen Boyd: Re: [PATCH] clk: qcom: Constify struct...

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   10. Mai 2024 · Quoting Christophe JAILLET (2024-05-10 09:50:00) > pll_vco structure are never modified. They are used as .vco_table in > "struct clk_alpha_pll".

5. lkml.org › lkml › 2024/5/10LKML: Stephen Boyd: Re: [PATCH] dt-bindings: mfd: syscon: Add...

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   10. Mai 2024 · Stephen Boyd <> Date: Fri, 10 May 2024 13:16:00 -0700: Quoting Rob Herring (Arm) (2024-05-10 05:30:14) > Add another batch of various "simple" syscon compatibles which were > undocumented or still documented with old text bindings. Remove ...

6. web.stanford.edu › ~boyd › papersProximal Algorithms - Stanford University

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   13. Mai 2024 · This monograph is about a class of optimization algorithms called proximal algorithms. Much like Newton's method is a standard tool for solving unconstrained smooth optimization problems of modest size, proximal algorithms can be viewed as an analogous tool for nonsmooth, constrained, large-scale, or distributed versions of these problems. They ...

7. zhuanlan.zhihu.com › p › 696004398凸优化:第一章Boyd教授 - 知乎 - 知乎专栏

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   5. Mai 2024 · 0.前言最近在学习凸优化相关的知识,跟着Boyd老师学的,目前看了三节课,老师大多数都是直接讲理论,证明的部分比较少,可能更加注重实践方面的内容,所以较为符合我的学习风格,但是三节课讲完下来感觉有点云里雾里的感…