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Feed forward (control)

Known as: Open system (control theory), Open system, Feed-forward control 
Feed-forward, sometimes written feedforward, is a term describing an element or pathway within a control system which passes a controlling signal… 
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Related topics

Related topics

26 relations
Automatic controlBandwidth (signal processing)Black boxControl engineering

Broader (1)

Control theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Observer-Based DC Voltage Droop and Current Feed-Forward Control of a DC Microgrid
An observer-based dc voltage droop and current feed-forward control for a dc microgrid has been proposed in this paper. With the… 
Highly Cited
2008
Highly Cited
2008
Maximum Power Point Tracking Scheme for PV Systems Operating Under Partially Shaded Conditions
Current-voltage and power-voltage characteristics of large photovoltaic (PV) arrays under partially shaded conditions are… 
Highly Cited
2007
Highly Cited
2007
The Series Product and Its Application to Quantum Feedforward and Feedback Networks
The purpose of this paper is to present simple and general algebraic methods for describing series connections in quantum… 
Highly Cited
2003
Highly Cited
2003
Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter-supplied PV system using fuzzy controller
The photovoltaic (PV) generator exhibits a nonlinear V-I characteristic and its maximum power (MP) point varies with solar… 
Highly Cited
2002
Highly Cited
2002
On the comparison between OFDM and single carrier modulation with a DFE using a frequency-domain feedforward filter
Most comparisons between single carrier and multicarrier modulations assume frequency-domain linear equalization of the channel… 
Highly Cited
2001
Highly Cited
2001
Inverse control of systems with hysteresis and creep
Since the beginning of the 1990s, hysteresis operators have been employed on a larger scale for the linearisation of hysteretic… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1993
Highly Cited
1993
Feedforward Neural Nets as Models for Time Series Forecasting
We have studied neural networks as models for time series forecasting, and our research compares the Box-Jenkins method against… 
Highly Cited
1987
Highly Cited
1987
Generalized Predictive Control - Part II Extensions and interpretations
Highly Cited
1985
Highly Cited
1985
Principles and Practice of Automatic Process Control
1. Introduction. 2. Mathematical Tools for Control Systems Analysis. 3. First-Order Dynamic Systems. 4. Higher-Order Dynamic… 
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