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Feedforward for stabilization

IFAC Proceedings Volumes, 2009
Abstract Abstract This paper demonstrates how feedforward control can assist in stabilizing unstable systems. Feedback control is necessary for stabilization, but feedforward can be used to avoid input constraints which would otherwise cause the system to go unstable.
Morten Hovd, Robert R. Bitmead
openaire   +1 more source

Feedforward

2014
Feedforward refers to the transition from briefing to designing in ways that enrich the design with information from the brief (one assumes that a better-informed designer can achieve higher performance than an uninformed one). The first possibility for feedforward that is discussed is the use of the requirements graph in designing, including the ...
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Feedback to “Feedforward”

2020
In recognizing that effective feedback and pedagogical approaches that support social interaction in learning are vital to students' achievement, this chapter focuses on students' need to be actively involved in their learning and assessment. It reports research into how undergraduate education students utilized assessment feedback.
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The feedforward interview

Human Resource Management Review, 2010
Abstract On the basis of Appreciative Inquiry (Cooperrider & Srivastva, 1987), we offer an interview protocol termed Feedforward Interview (FFI). FFI is designed to reveal new organizational knowledge both for managers and subordinates, which can lead to better alignment between employees’ needs and organizational practices, and to improved ...
Avraham N. Kluger, Dina Nir
openaire   +1 more source

Feedback to feedforward

Notfall + Rettungsmedizin, 2009
Conaghan, Patricia, Lockey, Andrew
openaire   +2 more sources

Data-Driven Feedforward Parameter Tuning Optimization Method Under Actuator Constraints

IEEE/ASME Transactions on Mechatronics, 2022
Liangliang Yang, Hui Zhang
exaly  

Comparison of additive and multiplicative feedforward control

Journal of Process Control, 2022
William L Luyben
exaly  

Multilayer feedforward networks are universal approximators

Neural Networks, 1989
Kurt Horník, Halbert White
exaly  

Feedforward model predictive control

Annual Reviews in Control, 2011
Graham C Goodwin
exaly  

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