Results 91 to 100 of about 76,073 (214)
Frequency domain iterative feedforward/feedback tuning for MIMO ANVC
, 2007 A new iterative feedback/feed-forward tuning (IFFT) method is presented for multiple-input multiple-output (MIMO) control systems that relies on efficient computation of the negative gradient of the controller cost function in the frequency domain.
Veres, S.M., Luo, J.
core
Feedforward wind turbine control design using LIDAR
, 2015 Recent development in LIght Detection And Ranging (LIDAR) systems, which can provide measurements of the wind upstream of wind turbine, opens a new area of research in wind turbine control.
Wang ,Mengling
core +2 more sources
, 2015 Objeto de aprendizaje: Presentación interactivaEn este recurso educativo se introduce un aprendizaje a estas dos herramientas utilizadas en procesos de coaching individual y de grupo, además de una comparación en el uso de las mismas y sus aportes en el ...
Moreno Torres, Luz Danny
core
Nonlinear feedforward sequences of m-sequences I
, 1993 The minimal polynomial of a nonlinear feedforward sequence of an m-sequence is studied, and algorithms for synthesising the nonlinear feedforward sequence are ...
Feng, Xuning +3 more
core +1 more source
Feedforward Backpropagation Neural Network architecture.
, 2016 Feedforward Backpropagation Neural Network architecture.
Jacinta Chan Phooi M’ng (2818444) +1 more
core +1 more source
Investigations on drone-mounted active noise control
Acta AcusticaAlthough drones have many potential applications including parcel delivery and surveillance, their deployment in urban areas is limited by their noise levels.
Steiner Jonas +2 more
doaj +1 more source
, 2012 An important challenge in deploying pervasive computing environments is the di culty users have in understanding their behaviour. It has been suggested that these environ- ments should be made intelligible by informing users about their understanding of the world.
Vermeulen, Jo +2 more
openaire +1 more source
Linearizable Feedforward Systems: A Special Class
, 2008 We address the problem of linearizability of systems in feedforward form. In a recent paper [22] we completely solved the linearizability for strict feedforward systems. We extend here those results to a special class of feedforward systems.
Issa Amadou Tall, Tall, Issa Amadou
core +2 more sources
Simple Feedforward Artificial Neural Network
, 2014 Simple Feedforward Artificial Neural ...
Stefanie Höfig
core +1 more source
Forecasting international bandwidth capacity using linear and ANN methods
An artificial neural network (ANN) can improve forecasts through pattern recognition of historical data. This article evaluates the reliability of ANN methods, as opposed to simple extrapolation techniques, to forecast Internet bandwidth index data that ...
Tan, Joachim, Madden, Gary G
core +1 more source