نتایج جستجو برای: control driven

تعداد نتایج: 1528374  

2012
LIHUI SHI KAILASH C. KAPUR Lihui Shi Kailash C. Kapur

Process adjustment strategy is an important part of the process improvement methods, which is also called engineering process control (EPC), and it is often integrated with statistical process control (SPC) to improve the process control performance. While feedback control is used to compensate for the output deviation, feedforward control is a proactive control strategy based on a direct measu...

Journal: :Automatica 2022

We address the problem of designing a stabilizing closed-loop control law directly from input and state measurements collected in an open-loop experiment. In presence noise data, we have that set dynamics could generated data need designed controller to stabilize such data-consistent robustly. For this data-driven with noisy advocate use popular tool robust control, Petersen's lemma. cases by l...

Journal: :IEEE Transactions on Industrial Electronics 2017

Journal: :The International Journal of Robotics Research 2012

Journal: :Nature Communications 2021

Journal: :Systems & Control Letters 2017

2003
Michael G. Safonov Arthur Conan Doyle M. G. Safonov

Feedback control systems for aerospace applications must maintain precise control despite uncertain operating conditions and unanticipated circumstances such as battle damage. These systems must be designed to perform robustly, despite uncertain design models and difficult to analyze nonlinear effects. They must also be capable of learning and adapting when accumulating data indicates that prev...

2002
Christos G. Cassandras Kagan Gokbayrak

As time-driven and event-driven systems are rapidly coming together, the field of optimal control is presented with an opportunity to expand its horizons to these new “hybrid” dynamic systems. In this paper, we consider a general optimal control problem formulation for such systems and describe a modeling framework allowing us to decompose the problem into lower and higher-level components. We ...

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