LIDAR systems are able to provide preview information of wind speed, direction and shears at various distances in front of the wind turbines. This technology paves the way for new control concepts such as feedforward control and model predictive control to increase the energy production and to reduce loads of wind turbines. This paper describes how the necessary information can be obtained from...

This paper is about stochastic recruitment, a control architecture for centrally controlling the ensemble behavior of many identical agents, in a manner similar to motor recruitment in skeletal muscles. Each agent has a finite set of behaviors, or states, which can be switched based on a broadcast command. By switching randomly between states with a centrally determined probability, it is possi...

In many practical engineering applications, a feed-forward control is often used to control the system with some parameterized signals, for example, a wet clutch system. Usually these signals are designed empirically. In this paper, firstly, genetic algorithm (GA) will be used to optimize parameters. Then by knowing the system response of the test bench in the frequency domain, GA will be used ...

In this paper, a learning control system is considered for motion systems that are subject to two types of disturbances; reproducible disturbances, that re-occur each run in the same way, and random disturbances. In motion systems, a large part of the disturbances appear to be reproducible. In the control system considered, the reproducible disturbances are compensated by a learning component c...

In a 4T pixel, the transfer gate (TG) “OFF” surface potential is one of the important parameters, which determines the pinned photodiode (PPD) full well capacity. The feed-forward effect measurement is a powerful tool to characterize the relationship of the PPD injection potential and the feed-forward electrons. In this paper, a parameter Vb is introduced to characterize the TG “OFF” surface po...

The application of queuing theory to communications systems often requires that the respective networks are of a feed-forward nature, that is they have to be free of cyclic dependencies. An effective way to ensure this property is to identify a certain set of critical turns and to prohibit their use. A turn is a concatenation of two adjacent, consecutive links. Unfortunately, current routing al...

Production of highly viscous tar sand bitumen using Steam Assisted Gravity Drainage (SAGD) with a pair of horizontal wells has advantages over conventional steam flooding. This paper explores the use of Artificial Neural Networks (ANNs) as an alternative to the traditional SAGD simulation approach. Feed forward, multi-layered neural network meta-models are trained through the Back-...

A low-complexity feed-forward carrier phase estimation (CPE) technique is presented for dual-polarization (DP)-16-QAM transmission systems. By combining QPSK partitioning, maximum likelihood (ML) detection and phase offset estimation between signals in different polarizations, simulation and experimental results for a 200 Gb/s DP-16-QAM system demonstrate similar linewidth tolerance to the best...

This paper proposes a feed-forward control in a halfbridge resonant dc link inverter. The configuration of feed-forward control is based on synchronous sigma-delta modulation and the halfbridge resonant dc link inverter consists of two inductors, one capacitor and two power switches. The simulation results show the proposed technique can reject non-ideal dc bus improving the total harmonic dist...

A speaker independent bimodal phonetic classification experiment regarding the Italian plosive consonants is described. The phonetic classification scheme is based on a feed forward recurrent back-propagation neural network working on audio and visual information. The speech signal is processed by an auditory model producing spectral-like parameters, while the visual signal is processed by a sp...