Yahoo Suche Web Suche

Suchergebnisse

1. Suchergebnisse:

1. www.ippr.org › media-office › new-director-announced-to-leadNew director announced to lead IPPR Scotland | IPPR

   www.ippr.org › media-office › new-director-announced-to-lead

   • Im Cache

   10. Mai 2024 · Stephen Boyd, incoming director of IPPR Scotland, said: “I am incredibly grateful and excited to be given the opportunity to lead IPPR’s work in Scotland. “At this time of significant political change, there is a huge opportunity for IPPR Scotland to be driving key public debates around Scottish economic performance, social outcomes and the pace and nature of the net zero transition.

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

   web.stanford.edu › ~boyd › papers

   • Im Cache

   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.

3. lkml.org › lkml › 2024/5/13LKML: Stephen Boyd: Re: [PATCH v4 05/10] platform: Add test...

   lkml.org › lkml › 2024/5/13

   • Im Cache

   13. Mai 2024 · to find a match it will still remove the device by calling. platform_device_unregister() when the test ends. It will follow that up. with a call to platform_device_put(), which is the problem as that. causes an underflow and operates on an already freed device. I couldn't come up with anything better than searching the platform bus.

4. lkml.org › lkml › 2024/5/10LKML: "tip-bot2 for Stephen Boyd": [tip: timers/core] clocksource...

   lkml.org › lkml › 2024/5/10

   • Im Cache

   10. Mai 2024 · Date: Fri, 10 May 2024 11:10:55 -0000: From "tip-bot2 for Stephen Boyd" <> Subject [tip: timers/core] clocksource/drivers/arm_arch_timer: Mark hisi_161010101_oem_info ...

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

   web.stanford.edu › ~boyd › papers

   • Im Cache

   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 ...

6. web.stanford.edu › ~boyd › papersSemidefinite Programming - Stanford University

   web.stanford.edu › ~boyd › papers

   • Im Cache

   13. Mai 2024 · Semidefinite programming unifies several standard problems (eg, linear and quadratic programming) and finds many applications in engineering. Although semidefinite programs are much more general than linear programs, they are just as easy to solve. Most interior-point methods for linear programming have been generalized to semidefinite programs.

7. web.stanford.edu › ~boyd › papersLinear Matrix Inequalities in System and Control Theory

   web.stanford.edu › ~boyd › papers

   • Im Cache

   13. Mai 2024 · Proceedings Allerton Conference on Communication, Control and Computing, pages 237-246, October 1993.. LMI_sys_ctrl.pdf. A wide variety of problems in system and control theory can be formulated (or reformulated) as convex optimization problems involving linear matrix inequalities, that is, constraints requiring an affine combination of symmetric matrices to be positive semidefinite.