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Journal articles on the topic 'Feedforward'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Back, A. D., and A. C. Tsoi. "FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling." Neural Computation 3, no. 3 (1991): 375–85. http://dx.doi.org/10.1162/neco.1991.3.3.375.

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A new neural network architecture involving either local feedforward global feedforward, and/or local recurrent global feedforward structure is proposed. A learning rule minimizing a mean square error criterion is derived. The performance of this algorithm (local recurrent global feedforward architecture) is compared with a local-feedforward global-feedforward architecture. It is shown that the local-recurrent global-feedforward model performs better than the local-feedforward global-feedforward model.

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2

Xia, Lian, Jing Qiu, and Jiang Han. "Linear Motor Control Algorithm and Experimental Research Based on Feedforward Fuzzy PID." Key Engineering Materials 620 (August 2014): 363–68. http://dx.doi.org/10.4028/www.scientific.net/kem.620.363.

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In this paper, theory analysis, the MATLAB research and experimental verification about feedforward fuzzy PID control have been performed by combining the characteristics of the PID, feedforward control and fuzzy control. Simulation results show that the feedforward fuzzy PID control could improve the response speed of the system and reduce the tracking error of the system which shows the obvious superiority compared with the PID, feedforward PID, and fuzzy PID. Load experiment for such four kinds of control modes is done on the linear motor platform, and the experimental results show that the

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3

MANGAL, MANISH, and MANU PRATAP SINGH. "ANALYSIS OF MULTIDIMENSIONAL XOR CLASSIFICATION PROBLEM WITH EVOLUTIONARY FEEDFORWARD NEURAL NETWORKS." International Journal on Artificial Intelligence Tools 16, no. 01 (2007): 111–20. http://dx.doi.org/10.1142/s0218213007003229.

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This paper describes the application of two evolutionary algorithms to the feedforward neural networks used in classification problems. Besides of a simple backpropagation feedforward algorithm, the paper considers the genetic algorithm and random search algorithm. The objective is to analyze the performance of GAs over the simple backpropagation feedforward in terms of accuracy or speed in this problem. The experiments considered a feedforward neural network trained with genetic algorithm/random search algorithm and 39 types of network structures and artificial data sets. In most cases, the e

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4

Douglas, Michael R. "Holomorphic feedforward networks." Pure and Applied Mathematics Quarterly 18, no. 1 (2022): 251–68. http://dx.doi.org/10.4310/pamq.2022.v18.n1.a7.

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5

Hovd, Morten, and Robert R. Bitmead. "Feedforward for stabilization." IFAC Proceedings Volumes 42, no. 11 (2009): 602–6. http://dx.doi.org/10.3182/20090712-4-tr-2008.00097.

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6

Conaghan, P., and A. Lockey. "Feedback to feedforward." Notfall + Rettungsmedizin 12, S2 (2009): 45–48. http://dx.doi.org/10.1007/s10049-009-1222-1.

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7

Kluger, Avraham N., and Dina Nir. "The feedforward interview." Human Resource Management Review 20, no. 3 (2010): 235–46. http://dx.doi.org/10.1016/j.hrmr.2009.08.002.

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8

Brought to you by ACS Careers. "Feedforward, not feedback." C&EN Global Enterprise 101, no. 38 (2023): 37. http://dx.doi.org/10.1021/cen-10138-careertips.

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Hirose, Noriaki, and Ryosuke Tajima. "Deadbeat Feedforward Compensation with Frequency Shaping of Position Feedforward Controller." IEEJ Journal of Industry Applications 6, no. 2 (2017): 100–106. http://dx.doi.org/10.1541/ieejjia.6.100.

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10

Jensen, Konrad Johan, Morten Kjeld Ebbesen, and Michael Rygaard Hansen. "Adaptive Feedforward Control of a Pressure Compensated Differential Cylinder." Applied Sciences 10, no. 21 (2020): 7847. http://dx.doi.org/10.3390/app10217847.

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This paper presents the design, simulation and experimental verification of adaptive feedforward motion control for a hydraulic differential cylinder. The proposed solution is implemented on a hydraulic loader crane. Based on common adaptation methods, a typical electro-hydraulic motion control system has been extended with a novel adaptive feedforward controller that has two separate feedforward states, i.e, one for each direction of motion. Simulations show convergence of the feedforward states, as well as 23% reduction in root mean square (RMS) cylinder position error compared to a fixed ga

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11

Huang, Peichen, Zhigang Zhang, and Xiwen Luo. "Feedforward-plus-proportional–integral–derivative controller for agricultural robot turning in headland." International Journal of Advanced Robotic Systems 17, no. 1 (2020): 172988141989767. http://dx.doi.org/10.1177/1729881419897678.

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Traveling along straight lines and headland turning are two common motions during the automatic guidance of agricultural machines. However, most studies focus on accurately following parallel tracks in the field and seldom consider the maneuvers at the end of each row. Moreover, numerous studies have mainly focused on planning the global trajectories in the entire field to increase field efficiency, and very few works are related to maneuver generation and vehicle control in headlands. In this study, a feedforward-plus-proportional–integral–derivative controller for a differential drive robot

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12

Dulfer, Nicky, and Firoozeh Akhlaghi Koopaei. "Moving from Feedback to Feedforward in IBDP classrooms." Journal of Research in International Education 20, no. 2 (2021): 101–13. http://dx.doi.org/10.1177/14752409211032528.

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There is widespread acceptance of the positive impact of constructive feedback on students’ learning progress. However, few studies investigate the role of feedforward in high-stakes learning environments. This research explores feedback and feedforward practices in International Baccalaureate Diploma Programme classrooms in Hong Kong and Australia. The article analyses 18 teachers’ practices and perceptions about feedback and feedforward. The teachers’ perceptions on feedforward were analysed using a survey and semi-structured interviews, while their teaching practices were evaluated using a

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13

Songyuan, Deng, and Zhao Xia. "An improving control strategy for grid -connected current in weak grid." E3S Web of Conferences 252 (2021): 01010. http://dx.doi.org/10.1051/e3sconf/202125201010.

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The traditional proportional feedforward control strategy can suppress the low order harmonics in the strong power grid, but in the weak power grid environment, the grid impedance will have an adverse impact on the stability of the system, resulting in the proportional feedforward control can not suppress the low order harmonics well. In order to solve this problem, a control strategy combining resonant feedforward and new repetitive proportional controller is proposed. Firstly, the stability of traditional proportional feedforward and resonant feedforward systems is analyzed and compared by i

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14

Navarre, David, Philippe Palanque, Sven Coppers, Kris Luyten, and Davy Vanacken. "Model-based Engineering of Feedforward Usability Function for GUI Widgets." Interacting with Computers 33, no. 1 (2021): 73–91. http://dx.doi.org/10.1093/iwcomp/iwab014.

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Abstract Feedback and feedforward are two fundamental mechanisms that support users’ activities while interacting with computing devices. While feedback can be easily solved by providing information to the users following the triggering of an action, feedforward is much more complex as it must provide information before an action is performed. For interactive applications where making a mistake has more impact than just reduced user comfort, correct feedforward is an essential step toward correctly informed, and thus safe, usage. Our approach, Fortunettes, is a generic mechanism providing a sy

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15

Alekseev, A. A., and V. V. Tyutikov. "Method for tuning feedforward in electric feed drive control systems." Vestnik IGEU, no. 6 (December 28, 2021): 45–53. http://dx.doi.org/10.17588/2072-2672.2021.6.045-053.

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The electric feed drive used in metal-cutting machines like any high-precision electric drive requires high accuracy of reference processing and robustness against perturbations. For this purpose, feedforwards are added to the position controller to improve set point processing time and to compensate for disturbances. Feedforwards are usually tuned manually when the machine is setup, either by applying a series of tests on the motor or by calculation. The calculation requires some information about the magnitudes of disturbances that can be compensated by appropriate feedforwards, but this inf

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16

Johnson, Kristin A., Shojiro Nozu, and Richard K. Shields. "Trunk Angle Modulates Feedforward and Feedback Control during Single-Limb Squatting." Journal of Functional Morphology and Kinesiology 6, no. 4 (2021): 82. http://dx.doi.org/10.3390/jfmk6040082.

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Trunk positioning and unexpected perturbations are high-risk conditions at the time of anterior cruciate ligament injury. The influence of trunk positioning on motor control responses to perturbation during dynamic performance is not known. We tested the influence of trunk position on feedforward and feedback control during unexpected perturbations while performing a novel single-limb squatting task. We also assessed the degree that feedforward control was predictive of feedback responses. In the flexed trunk condition, there were increased quadriceps (p < 0.026) and gluteus medius long-lat

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17

Barathi, Soumya C., Daniel J. Finnegan, Michael J. Proulx, Eamonn O'Neill, and Christof Lutteroth. "Advantages of Friend-Modelled Social Interactive Feedforward for VR Exergaming." Proceedings of the ACM on Human-Computer Interaction 8, CHI PLAY (2024): 1–19. http://dx.doi.org/10.1145/3677103.

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VR exergaming is a promising motivational tool to incentivise exercise. We present a novel VR exergaming method called social interactive feedforward. The player competes with an 'enhanced model' of one of their friends in a real-time VR environment, showing improved performance levels in a way the player can relate to. Social interactive feedforward was tested in a cycling-based VR exergame and players competed with enhanced models of themselves, their friend, and a stranger moving at the same enhanced pace. Results show that friend-modelled social interactive feedforward improves performance

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18

von der Gracht, Sören, Eddie Nijholt, and Bob Rink. "Amplified steady state bifurcations in feedforward networks." Nonlinearity 35, no. 4 (2022): 2073–120. http://dx.doi.org/10.1088/1361-6544/ac5463.

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Abstract We investigate bifurcations in feedforward coupled cell networks. Feedforward structure (the absence of feedback) can be defined by a partial order on the cells. We use this property to study generic one-parameter steady state bifurcations for such networks. Branching solutions and their asymptotics are described in terms of Taylor coefficients of the internal dynamics. They can be determined via an algorithm that only exploits the network structure. Similar to previous results on feedforward chains, we observe amplifications of the growth rates of steady state branches induced by the

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19

Sun, Yixiu, Xiaoqing Li, Ying Luo, Xuedong Chen, and Lizhan Zeng. "Iterative Tuning of Feedforward Controller with Precise Time-Delay Compensation for Precision Motion System." Mathematical Problems in Engineering 2020 (October 28, 2020): 1–23. http://dx.doi.org/10.1155/2020/9391526.

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The accuracy of feedforward control model including system time-delay significantly affects the position tracking performance in a precision motion system. In this paper, an iterative tuning method for feedforward control with precise time-delay compensation is proposed. First, considering system time-delay from actuator, sensor, calculation, and communication in real platform, a feedforward control model with time-delay compensation is established, and a nonlinear objective function with time-delay is designed based on the measured data of a finite time task, to minimize the position tracking

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20

Hosseini, Hamed Mohammad, Ali Derakhshesh, and Sepideh Mehraein. "Effects of Teacher Response on Learners’ Writing Development, Ideal L2 Writing Self, and Writing Engagement." International Journal of Instruction 18, no. 2 (2025): 615–36. https://doi.org/10.29333/iji.2025.18233a.

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Research on responding to students’ writing in the second language (L2) domain has grown enormously over the past twenty years and has expanded to include studies that examine how teacher responses affect language learners’ affective states. Following this line of research, the current study investigated the effect of different types of teacher response on L2 learners’ writing development as well as their ideal L2 writing self (IL2WS) and writing engagement. A total of 103 intermediate students of four intact classes were recruited, each receiving either feedback, feedforward, feedback and fee

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21

Zhang, Jin Guang, Nan Xiang, Zuo Chao Xiao, and Guo Ping Ding. "Research on Adaptive Feedforward Control Algorithm of Electromagnetic Active Vibration Isolation System." Applied Mechanics and Materials 150 (January 2012): 80–84. http://dx.doi.org/10.4028/www.scientific.net/amm.150.80.

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Feedforward control method to control vibration in the active vibration isolation system was discussed. By introducing the FIR filter as the feedforward link, using the mean-square deviation of system error as the performance index and utilizing the LMS algorithm to obtain the optimal parameters of controller, the design of adaptive feedforward controller was fulfilled. The simulation results showed that: for the active vibration isolation system with regularly vibration source, adopting adaptive filter method of feedforward control has notable effect. The contrast experiment with using the PI

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22

Berg, Matias, and Tomi Roinila. "Dynamic Effect of Input-Voltage Feedforward in Three-Phase Grid-Forming Inverters." Energies 13, no. 11 (2020): 2923. http://dx.doi.org/10.3390/en13112923.

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Grid-connected and grid-forming inverters play essential roles in the utilization of renewable energy. One problem of such a converter system is the voltage deviations in the DC-link between the source and the inverter that can disrupt the inverter output voltage. A common method to prevent these voltage deviations is to apply an input-voltage feedforward control. However, the feedforward control has detrimental effects on the inverter dynamics. It is shown that the effect of the feedforward in the input-to-output dynamics is not ideal due to the delay in the digital control system. The delay

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23

Miyashiro, J. K., and E. O. Feigl. "A model of combined feedforward and feedback control of coronary blood flow." American Journal of Physiology-Heart and Circulatory Physiology 268, no. 2 (1995): H895—H908. http://dx.doi.org/10.1152/ajpheart.1995.268.2.h895.

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Recent evidence shows that norepinephrine affects coronary blood flow not only by alpha-receptor-mediated vasoconstriction and by feedback metabolic vasodilation that occurs as a result of myocardial beta-receptor activation, but also by the direct activation of coronary vascular beta-receptors that increase flow in a feedforward manner. The implications of combined feedforward and feedback control in maintaining the balance between metabolism and flow were investigated in the present mass balance model. Feedback was represented by a closed loop and was based on the hypothesis that the regulat

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24

Vrečko, D., N. Hvala, and B. Carlsson. "Feedforward-feedback control of an activated sludge process: a simulation study." Water Science and Technology 47, no. 12 (2003): 19–26. http://dx.doi.org/10.2166/wst.2003.0623.

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In this paper a simulated plant based on a wastewater treatment benchmark is used to evaluate a number of controllers. Feedforward-feedback controllers for dissolved oxygen set-point and external carbon flow, and feedforward controller for internal recycle flow are evaluated separately and altogether. In the feedforward parts of the controllers, static physical models are incorporated in the control laws. The feedback parts of the controllers are used to compensate for model approximations. A simulation study shows that feedforward-feedback control of the activated sludge plant is more success

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25

Tomizuka, Masayoshi. "Zero Phase Error Tracking Algorithm for Digital Control." Journal of Dynamic Systems, Measurement, and Control 109, no. 1 (1987): 65–68. http://dx.doi.org/10.1115/1.3143822.

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A digital feedforward control algorithm for tracking desired time varying signals is presented. The feedforward controller cancels all the closed-loop poles and cancellable closed-loop zeros. For uncancellable zeros, which include zeros outside the unit circle, the feedforward controller cancels the phase shift induced by them. The phase cancellation assures that the frequency response between the desired output and actual output exhibits zero phase shift for all the frequencies. The algorithm is particularly suited to the general motion control problems including robotic arms and positioning

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26

Choura, S. "On the Design of Finite Time Settling Control for Linear Systems." Journal of Dynamic Systems, Measurement, and Control 114, no. 3 (1992): 359–68. http://dx.doi.org/10.1115/1.2897356.

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The design of controllers combining feedback and feedforward for the finite time settling control of linear systems, including linear time-varying systems, is considered. The feedforward part transfers the initial state of a linear system to a desired final state in finite time, and the feedback part reduces the effects of uncertainties and disturbances on the system performance. Two methods for determining the feedforward part, without requiring the knowledge of the explicit state solutions, are proposed. In the first method, a numerical procedure for approximating combined controls that driv

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27

Huang, Ying, Juan Duan, Qian Guo, Zhanhu Wang, and Jianwen Hua. "Based on the Feedforward Inputs Obtained by the Intelligent Algorithm the Moving Mirror Control System of the Fourier Transform Spectrometer." Electronics 12, no. 22 (2023): 4568. http://dx.doi.org/10.3390/electronics12224568.

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A moving mirror control system of the Fourier transform spectrometer (FTS) based on the feedforward inputs obtained by the intelligent algorithm is proposed in this paper. Feedforward control is an important part of the moving mirror speed control system of the FTS. And it is always difficult to quantitatively calculate the feedforward inputs through a precise mathematical model of the controlled object. Therefore, based on the expected motion law, an intelligent adaptive algorithm for obtaining feedforward inputs of the moving mirror system was designed. The algorithm decomposed the motion st

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28

Cai, Xiao, Yulong Yin, and Qingfang Zhang. "A cross-language study on feedforward and feedback control of voice intensity in Chinese–English bilinguals." Applied Psycholinguistics 41, no. 4 (2020): 771–95. http://dx.doi.org/10.1017/s0142716420000223.

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AbstractSpeech production requires the combined efforts of feedforward and feedback control, but it remains unclear whether the relative weighting of feedforward and feedback control is organized differently between the first language (L1) and the second language (L2). In the present study, a group of Chinese–English bilinguals named pictures in their L1 and L2, while being exposed to multitalker noise. Experiment 1 compared feedforward control between L1 and L2 speech production by examining intensity increases in response to a masking noise (90 dB SPL). Experiment 2 compared feedback control

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29

Clark, Robert L. "A Hybrid Autonomous Control Approach." Journal of Dynamic Systems, Measurement, and Control 117, no. 2 (1995): 232–40. http://dx.doi.org/10.1115/1.2835184.

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A hybrid autonomous control approach for active damping and control of a persistent disturbance is presented. Direct velocity feedback control is coupled with an adaptive feedforward controller to minimize the transient response and that due to a persistent disturbance, respectively. A time-averaged gradient descent algorithm was selected to adapt the feedforward filter, rendering the controller model-insensitive and thus autonomous for the chosen application. The feedback control loop serves to increase the damping of the controlled structure, decreasing the convergence time associated with t

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30

Rudenko, Oleg G., and Alexander A. Bezsonov. "Coevolving Feedforward Neural Networks." Journal of Automation and Information Sciences 48, no. 9 (2016): 36–48. http://dx.doi.org/10.1615/jautomatinfscien.v48.i9.30.

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31

Chen, K., V. Kvasnicka, P. C. Kanen, and S. Haykin. "Feedforward Neural Network Methodology." IEEE Transactions on Neural Networks 12, no. 3 (2001): 647–48. http://dx.doi.org/10.1109/tnn.2001.925573.

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32

Dowrick, Peter W., Weol Soon Kim-Rupnow, and Thomas J. Power. "Video Feedforward for Reading." Journal of Special Education 39, no. 4 (2006): 194–207. http://dx.doi.org/10.1177/00224669060390040101.

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33

Candes, Emmanuel J., and Terrence L. Fine. "Feedforward Neural Network Methodology." Journal of the American Statistical Association 95, no. 450 (2000): 682. http://dx.doi.org/10.2307/2669423.

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34

Oberst, M., and R. Weigel. "Delta–Sigma feedforward topology." Electronics Letters 44, no. 8 (2008): 514. http://dx.doi.org/10.1049/el:20080640.

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35

Lynch, Michael. "Feedforward loop for diversity." Nature 523, no. 7561 (2015): 414–16. http://dx.doi.org/10.1038/nature14634.

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36

Levin, Asriel U., and Kumpati S. Narendra. "Identification Using Feedforward Networks." Neural Computation 7, no. 2 (1995): 349–69. http://dx.doi.org/10.1162/neco.1995.7.2.349.

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This paper is concerned with the identification of an unknown nonlinear dynamic system when only the inputs and outputs are accessible for measurement. Specifically we investigate the use of feedforward neural networks as models for the input-output behavior of such systems. Relying on the approximation capabilities of feedforward neural networks and under mild assumptions regarding the properties of the underlying nonlinear system, it is shown that there exists a feedforward network that for almost all inputs (an open and dense set) will display the input-output behavior of the system.

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37

Rao, M. B. "Feedforward Neural Network Methodology." Technometrics 42, no. 4 (2000): 432–33. http://dx.doi.org/10.1080/00401706.2000.10485725.

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38

Sternad, Mikael, and Torsten Söderström. "LQG-optimal feedforward regulators." Automatica 24, no. 4 (1988): 557–61. http://dx.doi.org/10.1016/0005-1098(88)90100-8.

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39

Chyung, D. H. "Feedforward digital tracking controller." IEEE Transactions on Automatic Control 36, no. 10 (1991): 1199–20. http://dx.doi.org/10.1109/9.90236.

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40

Kenington, P. B. "Efficiency of feedforward amplifiers." IEE Proceedings G Circuits, Devices and Systems 139, no. 5 (1992): 591. http://dx.doi.org/10.1049/ip-g-2.1992.0091.

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41

Carrasco, Diego S., and Graham C. Goodwin. "Feedforward model predictive control." Annual Reviews in Control 35, no. 2 (2011): 199–206. http://dx.doi.org/10.1016/j.arcontrol.2011.10.007.

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42

Koo, Min-Sung, Ho-Lim Choi, and Jong-Tae Lim. "Adaptive Control of a Class of Feedforward and Non-feedforward Nonlinear Systems." Journal of Institute of Control, Robotics and Systems 17, no. 6 (2011): 573–78. http://dx.doi.org/10.5302/j.icros.2011.17.6.573.

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Koo, Min-Sung, and Ho-Lim Choi. "Measurement Feedback Control of Nonlinear Systems with Non-Feedforward and Feedforward Nonlinearities." Journal of Institute of Control, Robotics and Systems 24, no. 6 (2018): 496–500. http://dx.doi.org/10.5302/j.icros.2018.0028.

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Koo, Min-Sung, and Ho-Lim Choi. "Measurement Feedback Control of Nonlinear Systems with Non-Feedforward and Feedforward Nonlinearities." Journal of Institute of Control, Robotics and Systems 24, no. 6 (2018): 496–500. http://dx.doi.org/10.5302/j.icros.2018.18.0028.

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NUGROHO, MOCHAMAD ARI BAGUS, NOVIE AYUB WINDARKO, and BAMBANG SUMANTRI. "Perancangan Kendali Multilevel Inverter Satu Fasa Tiga Tingkat dengan PI+feedforward pada Beban Nonlinier." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 7, no. 3 (2019): 493. http://dx.doi.org/10.26760/elkomika.v7i3.493.

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ABSTRAKSebuah konverter daya multilevel inverter diharapkan mampu untuk menyuplai tegangan AC ideal pada kondisi beban linier maupun nonlinier. Diharapkan metode kendali mampu cepat tanggap dan mampu mempertahankan bentuk tegangan AC keluaran inverter. Pengendali PI+feedforward diajukan dalam makalah ini. Pengendali ini akan diuji dengan beban linier maupun nonlinier. Beban nonlinier berupa rangkaian penyearah dengan filter kapasitor. Berdasarkan pengujian simulasi didapatkan bahwa pengendali PI+feedforward lebih cepat tanggap terhadap gangguan yang dibuktikan dengan nilai kesalahan rata-rata

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46

Wei, Zhouxiang, Zhiwen Huang, and Jianmin Zhu. "Position Control of Magnetic Levitation Ball Based on an Improved Adagrad Algorithm and Deep Neural Network Feedforward Compensation Control." Mathematical Problems in Engineering 2020 (December 21, 2020): 1–13. http://dx.doi.org/10.1155/2020/8935423.

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To control the position of the magnetic levitation ball more accurately, this paper proposes a deep neural network feedforward compensation controller based on an improved Adagrad optimization algorithm. The control structure of the controller consists of a deep neural network identifier, a deep neural network feedforward compensator, and a PID controller. First, the dynamic inverse model of the magnetic levitation ball is established by the deep neural network identifier which is trained online based on the improved Adagrad algorithm, and the trained network parameters are dynamically copied

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Li, Ke, Yeming Zhang, Shaoliang Wei, and Hongwei Yue. "Evolutionary Algorithm-Based Friction Feedforward Compensation for a Pneumatic Rotary Actuator Servo System." Applied Sciences 8, no. 9 (2018): 1623. http://dx.doi.org/10.3390/app8091623.

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The friction interference in the pneumatic rotary actuator is the primary factor affecting the position accuracy of a pneumatic rotary actuator servo system. The paper proposes an evolutionary algorithm-based friction-forward compensation control architecture for improving position accuracy. Firstly, the basic equations of the valve-controlled actuator are derived and linearized in the middle position, and the transfer function of the system is further obtained. Then, the evolutionary algorithm-based friction feedforward compensation control architecture is structured, including that the evolu

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48

Gelder, Edgar de, Marc van de Wal, Carsten Scherer, Camile Hol, and Okko Bosgra. "Nominal and Robust Feedforward Design With Time Domain Constraints Applied to a Wafer Stage." Journal of Dynamic Systems, Measurement, and Control 128, no. 2 (2005): 204–15. http://dx.doi.org/10.1115/1.2192821.

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A new method is proposed to design a feedforward controller for electromechanical servo systems. The settling time is minimized by iteratively solving a linear programming problem. A bound on the amplitude of the feedforward control signal can be imposed and the McMillan degree of the controller can be fixed a priori. We choose Laguerre basis functions for the feedforward filter. Since finding the optimal pole location is very difficult, we present a computationally cheap method to determine the pole location that works well in practice. Furthermore, we show how the method can account for plan

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Yin, Fang Chen, Geng Sheng Ma, Jia Xue Yu, Ya Feng Ji, Bo Wang, and Dian Hua Zhang. "The Optimization Plastic Coefficient in AWC Research and Application." Advanced Materials Research 941-944 (June 2014): 1221–24. http://dx.doi.org/10.4028/www.scientific.net/amr.941-944.1221.

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Aimed at the main factors of hot rolled strip steel product width fluctuation, rolled piece is put forward to plasticity coefficient and entrance width as the input variables of feedforward AWC control algorithm.Expounds a kind of optimization of plasticity coefficient Q feedforward AWC control system principle and plasticity coefficient Q of linear prediction algorithm.Field application shows that the Q prediction feedforward AWC has significant effect on inhibition of hot rolled strip width deviation.

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Zhao, Yongdong, and Suhada Jayasuriya. "Feedforward Controllers and Tracking Accuracy in the Presence of Plant Uncertainties." Journal of Dynamic Systems, Measurement, and Control 117, no. 4 (1995): 490–95. http://dx.doi.org/10.1115/1.2801105.

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Abstract:

In the absence of plant parameter uncertainty feedforward controllers can be synthesized to achieve perfect continuous tracking. When plant has uncertainties it is, in general, impossible to achieve such perfect tracking. Investigated in this paper is the role played by feedforward controllers in the presence of plant uncertainties. We show that the use of feedforward controllers cannot improve the tracking error beyond what is achievable with a properly designed feedback loop, over all plant uncertainties. Including preview in the feedforward will not alter the situation either. We present tw

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