Log in

Relevant bibliographies by topics / Predictive functional control / Journal articles

To see the other types of publications on this topic, follow the link: Predictive functional control.

Journal articles on the topic 'Predictive functional control'

Author: Grafiati

Published: 3 June 2025

Last updated: 19 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Predictive functional control.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Guo, Jianguo, Guoqing Wang, Zongyi Guo, and Jun Zhou. "Augmented predictive functional control for missile autopilot design." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 10 (2016): 1794–803. http://dx.doi.org/10.1177/0954410016675892.

Full text

Abstract:

In this paper, an augmented predictive functional control approach is investigated to design a missile autopilot system, which can be expressed as a linear model with state-dependent coefficient matrices. A novel performance index depending on the reference trajectory, the output prediction and the set-point is proposed to improve the closed-loop dynamic performance. An augmented predictive functional control strategy is designed based on the proposed index and the stability is proven by using the Z-transform. In order to demonstrate the performance of the proposed approach, numerical simulations comparing the predictive functional control in the missile autopilot system are performed. Finally, results from comprehensive simulations are presented to evaluate the proposed approach in the presence of input constraints and abrupt disturbances.

APA, Harvard, Vancouver, ISO, and other styles

2

Haber, Robert, Mirco Kreutz, and Khaled Zabet. "Predictive Functional Control: Algorithmus und Testbetrieb." atp edition - Automatisierungstechnische Praxis 53, no. 04 (2011): 22. http://dx.doi.org/10.17560/atp.v53i04.196.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Haber, Robert, Mirco Kreutz, and Khaled Zabet. "Predictive Functional Control: Algorithmus und Testbetrieb." atp magazin 53, no. 04 (2013): 22–33. http://dx.doi.org/10.17560/atp.v53i04.2124.

Full text

Abstract:

Prädiktive (vorausschauende) Regelungen werden vor allem für komplexe Optimalwertregelungen eingesetzt. Die vorgestellte PFC-Regelung (Predictive Functional Control) bietet Algorithmen für Ein- oder Zweigrößensysteme, welche in speicherprogrammierbaren Steuerungen und Prozessleitsystemen einfach implementiert werden können. Der Algorithmus berücksichtigt die vorhandenen Begrenzungen und vermeidet das Integrator-Windup. Der textdata zeigt grundlegende Eigenschaften von PFC sowie Implementierungsmöglichkeiten in das Prozessleitsystem Simatic PCS7 auf.

APA, Harvard, Vancouver, ISO, and other styles

4

Zhang, Zhiming, John Anthony Rossiter, Lei Xie, and Hongye Su. "Predictive functional control for integrator systems." Journal of the Franklin Institute 357, no. 7 (2020): 4171–86. http://dx.doi.org/10.1016/j.jfranklin.2020.01.026.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Dovžan, Dejan, and Igor Škrjanc. "Control of mineral wool thickness using predictive functional control." Robotics and Computer-Integrated Manufacturing 28, no. 3 (2012): 344–50. http://dx.doi.org/10.1016/j.rcim.2011.10.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Hashimoto, Yusuke, Toshiyuki Satoh, Jun Ya Nagase, and Norihiko Saga. "Predictive Functional Control for a Pneumatic Cylinder." Applied Mechanics and Materials 789-790 (September 2015): 932–38. http://dx.doi.org/10.4028/www.scientific.net/amm.789-790.932.

Full text

Abstract:

Japan is becoming a super-aging society, with a population decrease and a shortage of young workers. Mechanisms using pneumatic cylinders are therefore expected to be useful to perform tasks such as day-to-day work support for elderly people. However, pneumatic cylinder includes large dead time. Thereby, traditional control system is complex, such as adding Smith compensation. Therefore, we use Predictive Functional Control (PFC). This control system is not complex even if plant includes dead time. This study evaluates the performance of force and position control systems using a pneumatic cylinder and PFC. We compare the PFC scheme with the PID control and show that PFC achieves better performance than PID control.

APA, Harvard, Vancouver, ISO, and other styles

7

Preglej, Aleksander, Igor Steiner, and Sašo Blažič. "Multivariable Predictive Functional Control of an Autoclave." Strojniški vestnik – Journal of Mechanical Engineering 59, no. 2 (2013): 89–96. http://dx.doi.org/10.5545/sv-jme.2012.617.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Tang, Wei-Qiang, and Yuan-Li Cai. "Predictive Functional Control-Based Missile Autopilot Design." Journal of Guidance, Control, and Dynamics 35, no. 5 (2012): 1450–55. http://dx.doi.org/10.2514/1.56329.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Vivas, Andrés, and Philippe Poignet. "Predictive functional control of a parallel robot." Control Engineering Practice 13, no. 7 (2005): 863–74. http://dx.doi.org/10.1016/j.conengprac.2004.10.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Liang, Xiao Ming, and Hui Fang Wang. "The Application of New Predictive Functional Control in the Converter Gas Recovery System." Applied Mechanics and Materials 685 (October 2014): 289–93. http://dx.doi.org/10.4028/www.scientific.net/amm.685.289.

Full text

Abstract:

In view of the characteristics of the converter differential pressure control system are nonlinear, large delay, uncertainty and large disturbance, the traditional PID control is strict with process model, which can't satisfy the requirement of tracking set point and suppressing disturbance. Predictive functional control is not strict with process model, it has good robustness, but has problem of large amount of calculation. By introducing the output prediction error and the output increment prediction error in the performance index function, a new predictive functional control algorithm with the PID structure is proposed, which combines ability of dealing with delay and robust for predictive function control with ability of favorable anti-interference and fast tracking for PID control. The simulation shows that the control strategy is feasible, and can obviously improve the dynamic quality and anti-interference ability of the converter differential pressure control system.

APA, Harvard, Vancouver, ISO, and other styles

11

Liang, Xiao Ming, Hui Fang Wang, Wei Li, and Ya Bo Sun. "The Research and Application of Fuzzy Predictive Functional Control in DCS." Advanced Materials Research 846-847 (November 2013): 253–57. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.253.

Full text

Abstract:

With the DCS of Zhejiang SUPCON as a platform, in view of the characteristics of the Electric heating jacketed boiler temperature are large inertia, large delay, the effect of the traditional PID control is not ideal, a fuzzy predictive control algorithm with nonlinear scaling factors is proposed, which combines the advantages of predictive functional control is not strict with prediction model, due to the introduction of nonlinear scaling factors, can improve the sensitivity of fuzzy controller effectively. Algorithm using Advan Trol-Pro configuration software to implemented. Through the application of the Electric heating jacketed boiler temperature control system which indicates that fuzzy predictive functional control based on DCS is feasible, it also can improve the system response speed, and realize the accuracy of the system stability and perfect controlling effect.

APA, Harvard, Vancouver, ISO, and other styles

12

Abdullah, M., J. A. Rossiter, and R. Haber. "Development of Constrained Predictive Functional Control using Laguerre Function Based Prediction." IFAC-PapersOnLine 50, no. 1 (2017): 10705–10. http://dx.doi.org/10.1016/j.ifacol.2017.08.2222.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Li, Min-Ying, Kang-Di Lu, Yu-Xing Dai, and Guo-Qiang Zeng. "Fractional-Order Predictive Functional Control of Industrial Processes with Partial Actuator Failures." Complexity 2020 (February 11, 2020): 1–26. http://dx.doi.org/10.1155/2020/4214102.

Full text

Abstract:

As the actuator faults in an industrial process cause damage or performance deterioration, the design issue of an optimal controller against these failures is of great importance. In this paper, a fractional-order predictive functional control method based on population extremal optimization is proposed to maintain the control performance against partial actuator failures. The proposed control strategy consists of two key ideas. The first one is the application of fractional-order calculus into the cost function of predictive functional control. Since the knowledge of analytical parameters including the prediction horizon, fractional-order parameter, and smoothing factor in fractional-order predictive functional control is not known, population extremal optimization is employed as the second key technique to search for these parameters. The effectiveness of the proposed controller is examined on two industrial processes, e.g., injection modeling batch process and process flow of coke furnace under constant faults, time-varying faults, and nonrepetitive unknown disturbance. The comprehensive simulation results demonstrate the performance of the proposed control method by comparing with a recently developed predictive functional control, genetic algorithm, and particle swarm optimization-based versions in terms of four performance indices.

APA, Harvard, Vancouver, ISO, and other styles

14

XU, SONG. "RESTING-STATE FUNCTIONAL CONNECTIVITY: INSIGHTS FOR MAPPING EMOTIONAL CONFLICT CONTROL." International Journal of Public Health and Awareness 02, no. 01 (2019): 06–13. http://dx.doi.org/10.55640/ijpha-212.

Full text

Abstract:

Clarifying emotional regulation systems and their significance to mental health requires an understanding of the brain mechanisms underpinning emotional conflict control. An increasingly useful method for examining internal brain networks and forecasting cognitive functions is resting-state functional connectivity, or RSFC. Using functional magnetic resonance imaging (fMRI) data, this study examines the connection between emotional conflict regulation and RSFC patterns. We find particular RSFC patterns linked to efficient emotional conflict control through a number of investigations. Our research illuminates the neurological underpinnings of emotional control mechanisms and offers perspectives on the possible application of RSFC as a predictive marker for emotional regulation skills.

APA, Harvard, Vancouver, ISO, and other styles

15

Dieulot, Jean-Yves, Tarik Benhammi, Frédéric Colas, and Pierre-Jean Barre. "Composite Predictive Functional Control Strategies, Application to Positioning Axes." International Journal of Computers Communications & Control 3, no. 1 (2008): 41. http://dx.doi.org/10.15837/ijccc.2008.1.2373.

Full text

Abstract:

Different predictive control strategies have been validated on a DC motor. ICascaded predictive control, which consists of a cascaded loop where the traditional servo algorithms are replaced by PFCs, could enhance the cycle time. Predictive Functional Control alone is simpler to tune and can exhibit comparable performances, except that the controller is more sensitive to nonlinear phenomena such as dry friction, which were not taken into account into the model and generate a static error.

APA, Harvard, Vancouver, ISO, and other styles

16

Richalet, J., T. Darure, and J. Mallet. "Predictive Functional Control of counter current heat exchangers." IFAC Proceedings Volumes 47, no. 3 (2014): 5345–50. http://dx.doi.org/10.3182/20140824-6-za-1003.02828.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Song, Han, Cheng-li Su, Hui-yuan Shi, Ping Li, and Jiang-tao Cao. "Improved predictive functional control for ethylene cracking furnace." Measurement and Control 52, no. 5-6 (2019): 526–39. http://dx.doi.org/10.1177/0020294019842602.

Full text

Abstract:

The objective of this paper is to show the design and application of pass temperature balance control system using an improved predictive functional control method in eight 800 tone/year USC ethylene cracking furnaces. The advanced pass temperature balance controller is developed using the proposed method and implemented in proprietary APC-ISYS software, which is connected to Yokogawa distributed control system via an OPC server. The advantage of it lies in the fact that the dynamics of pass temperature with nonlinearity and time delay are described by Takagi–Sugeno model and transformed into time-varying extended state space model, and thus, the proposed controller can regulate pass temperature based on the extended state space formulation. In addition, the control law with a linear iterative form, easily applied to industrial process, is derived. The robust analysis for the set point, input disturbance and output disturbance to the output verifies the ability of tracking and disturbance rejection of the proposed method. Application results from an industrial furnace are shown to be markedly better in terms of lower variability in the outlet temperature of both the passes compared to the current proportional–integral–derivative control scheme.

APA, Harvard, Vancouver, ISO, and other styles

18

Boucher, P., D. Dumur, and H. P. Kurzweil. "Polynomial-Predictive Functional Control (PPFC) for Motor Drives." CIRP Annals 42, no. 1 (1993): 453–56. http://dx.doi.org/10.1016/s0007-8506(07)62484-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Kirsch, Nicholas, Naji Alibeji, and Nitin Sharma. "Nonlinear model predictive control of functional electrical stimulation." Control Engineering Practice 58 (January 2017): 319–31. http://dx.doi.org/10.1016/j.conengprac.2016.03.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Yang, Wenjing, Kaixiang Zhuang, Peiduo Liu, et al. "Memory Suppression Ability can be Robustly Predicted by the Internetwork Communication of Frontoparietal Control Network." Cerebral Cortex 31, no. 7 (2021): 3451–61. http://dx.doi.org/10.1093/cercor/bhab024.

Full text

Abstract:

Abstract Memory suppression (MS) is essential for mental well-being. However, no studies have explored how intrinsic resting-state functional connectivity (rs-FC) predicts this ability. Here, we adopted the connectome-based predictive modeling (CPM) based on the resting-state fMRI data to investigate whether and how rs-FC profiles in predefined brain networks (the frontoparietal control networks or FPCN) can predict MS in healthy individuals with 497 participants. The MS ability was assessed by MS-induced forgetting during the think/no-think paradigm. The results showed that FPCN network was especially informative for generating the prediction model for MS. Some regions of FPCN, such as middle frontal gyrus, superior frontal gyrus and inferior parietal lobe were critical in predicting MS. Moreover, functional interplay between FPCN and multiple networks, such as dorsal attention network (DAN), ventral attention network (VAN), default mode network (DMN), the limbic system and subcortical regions, enabled prediction of MS. Crucially, the predictive FPCN networks were stable and specific to MS. These results indicated that FPCN flexibility interacts with other networks to underpin the ability of MS. These would also be beneficial for understanding how compromises in these functional networks may have led to the intrusive thoughts and memories characterized in some mental disorders.

APA, Harvard, Vancouver, ISO, and other styles

21

Yang, Tao, and Dan Dan Song. "Vehicle Stability Control Study Based on Neural Network Predictive Method." Applied Mechanics and Materials 734 (February 2015): 295–98. http://dx.doi.org/10.4028/www.scientific.net/amm.734.295.

Full text

Abstract:

A control method is proposed to improve vehicle yaw stability based on neural network predictive. A vehicle steering model using neural network control strategy is set up, at the same time, the nonlinear predictive functional control using the neural network model is developed for control of high-nonlinear system. New structure of neural network multi-step prediction that is different from cascade or parallel is given. The results illustrate that the nonlinear predictive functional control using neural network model is more effective for control nonlinear system than PID control. A simulation is performed with it during two different conditions: step input and sinusoidal input, the results showed that compared with uncontrolled, the presented controller achieve good steady response of side slip angle and yaw rate, and lighten the burden of the driver and improve vehicle yaw stability.

APA, Harvard, Vancouver, ISO, and other styles

22

Ma, X., C. Jiang, and D. Gao. "Predictive Functional Control Based on Second-order plus Time Delay Prediction Model." Journal of Applied Sciences 13, no. 11 (2013): 2067–71. http://dx.doi.org/10.3923/jas.2013.2067.2071.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Kassem, Ahmed M., and A. A. Hassan. "Performance Improvements of a Permanent Magnet Synchronous Machine via Functional Model Predictive Control." Journal of Control Science and Engineering 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/319708.

Full text

Abstract:

This paper investigates the application of the model predictive control (MPC) approach to control the speed of a permanent magnet synchronous motor (PMSM) drive system. The MPC is used to calculate the optimal control actions including system constraints. To alleviate computational effort and to reduce numerical problems, particularly in large prediction horizon, an exponentially weighted functional model predictive control (FMPC) is employed. In order to validate the effectiveness of the proposed FMPC scheme, the performance of the proposed controller is compared with a classical PI controller through simulation studies. Obtained results show that accurate tracking performance of the PMSM has been achieved.

APA, Harvard, Vancouver, ISO, and other styles

24

Wang, Xiu-Lan, Chun-Guo Fei, and Zheng-Zhi Han. "Adaptive predictive functional control for networked control systems with random delays." International Journal of Automation and Computing 8, no. 1 (2011): 62–68. http://dx.doi.org/10.1007/s11633-010-0555-z.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Zhang, Yinhui, Huabo Yang, Zhenyu Jiang, Fan Hu, and Weihua Zhang. "Robust Predictive Functional Control for Flight Vehicles Based on Nonlinear Disturbance Observer." International Journal of Aerospace Engineering 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/878971.

Full text

Abstract:

A novel robust predictive functional control based on nonlinear disturbance observer is investigated in order to address the control system design for flight vehicles with significant uncertainties, external disturbances, and measurement noise. Firstly, the nonlinear longitudinal dynamics of the flight vehicle are transformed into linear-like state-space equations with state-dependent coefficient matrices. And then the lumped disturbances are considered in the linear structure predictive model of the predictive functional control to increase the precision of the predictive output and resolve the intractable mismatched disturbance problem. As the lumped disturbances cannot be derived or measured directly, the nonlinear disturbance observer is applied to estimate the lumped disturbances, which are then introduced to the predictive functional control to replace the unknown actual lumped disturbances. Consequently, the robust predictive functional control for the flight vehicle is proposed. Compared with the existing designs, the effectiveness and robustness of the proposed flight control are illustrated and validated in various simulation conditions.

APA, Harvard, Vancouver, ISO, and other styles

26

HARA, Hiroki, Toshiyuki SATOH, and Naoki SAITO. "2P1-G07 Application of a preview feedforward controller to Predictive Functional Control systems." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2015 (2015): _2P1—G07_1—_2P1—G07_4. http://dx.doi.org/10.1299/jsmermd.2015._2p1-g07_1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Rossiter, John Anthony, and Muhammad Saleheen Aftab. "Recent Developments in Tuning Methods for Predictive Functional Control." Processes 10, no. 7 (2022): 1398. http://dx.doi.org/10.3390/pr10071398.

Full text

Abstract:

Predictive functional control (PFC) is a popular alternative to PID because it exploits model information better and enables systematic constraint handling while also being cheap and computationally efficient. A recent overview paper reviewed some recent proposals for improving the tuning efficacy. This paper extends and develops upon that review paper by introducing some exciting new proposals for how to making tuning more intuitive and, thus, easier for unskilled operators. Moreover, there are early indications that these proposals are easily modified for use in nonlinear cases while maintaining a very low cost and a simple and fast online computation.

APA, Harvard, Vancouver, ISO, and other styles

28

Rossiter, John Anthony, and Muhammad Saleheen Aftab. "A Comparison of Tuning Methods for Predictive Functional Control." Processes 9, no. 7 (2021): 1140. http://dx.doi.org/10.3390/pr9071140.

Full text

Abstract:

Predictive functional control (PFC) is a fast and effective controller that is widely used in preference to PID for single-input single-output processes. Nevertheless, the core advantages of simplicity and low cost come alongside weaknesses in tuning efficacy. This paper summarises and consolidates the work of the past decade, which has focused on proposing more effective tuning approaches while retaining the core attributes of simplicity and low cost. The paper finishes with conclusions on the more effective approaches and links to context.

APA, Harvard, Vancouver, ISO, and other styles

29

Rossiter, John, and Robert Haber. "The Effect of Coincidence Horizon on Predictive Functional Control." Processes 3, no. 1 (2015): 25–45. http://dx.doi.org/10.3390/pr3010025.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Rossiter, J. A. "PREDICTIVE FUNCTIONAL CONTROL: MORE THAN ONE WAY TO PRESTABILISE." IFAC Proceedings Volumes 35, no. 1 (2002): 289–94. http://dx.doi.org/10.3182/20020721-6-es-1901.00129.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Zhang, Quanling, Xie Lei, and Shuqing Wang. "Nonlinear Predictive Functional Control Based on Artificial Neural Network." IFAC Proceedings Volumes 37, no. 1 (2004): 797–802. http://dx.doi.org/10.1016/s1474-6670(17)38831-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Richalet, J., S. Abu El Ata-Doss, C. Arber, H. B. Kuntze, A. Jacubasch, and W. Schill. "Predictive Functional Control - Application to Fast and Accurate Robots." IFAC Proceedings Volumes 20, no. 5 (1987): 251–58. http://dx.doi.org/10.1016/s1474-6670(17)55325-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Hua, Cui, and Luo. "Feature-Model-based Hybrid Adaptive Predictive Functional Control Algorithm." Journal of Physics: Conference Series 1087 (September 2018): 022019. http://dx.doi.org/10.1088/1742-6596/1087/2/022019.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Lu, Zhenyu, Kai Li, Tingya Yang, Wei Guo, and Jin Wang. "PI Predictive Functional Attitude Control of Near Space Vehicle." International Journal of Control and Automation 8, no. 8 (2015): 409–24. http://dx.doi.org/10.14257/ijca.2015.8.8.38.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Wang, Runzhi, Xuemin Li, Yufei Liu, Wenjie Fu, Shuang Liu, and Xiuzhen Ma. "Multiple Model Predictive Functional Control for Marine Diesel Engine." Mathematical Problems in Engineering 2018 (2018): 1–20. http://dx.doi.org/10.1155/2018/3252653.

Full text

Abstract:

A novel control scheme based on multiple model predictive functional control (MMPFC) is proposed to solve the cumbersome and time-consuming parameters tuning of the speed controller for a marine diesel engine. It combines the MMPFC with traditional PID algorithm. In each local linearization, a first-order plus time delay (FOPTD) model is adopted to be the approximate submodel. To overcome the model mismatches under the load disturbance conditions, we introduce a method to estimate the open-loop gain of the speed control model, by which the predictive multimodels are modified online. Thus, the adaptation and robustness of the proposed controller can be improved. A cycle-detailed hybrid nonlinear engine model rather than a common used mean value engine model (MVEM) is developed to evaluate the control performance. In such model, the marine engine is treated as a whole system, and the discreteness in torque generation, the working imbalance among different cylinders, and the cycle delays are considered. As a result, more reliable and practical validation can be achieved. Finally, numerical simulation of both steady and dynamic performances of the proposed controller is carried out based on the aforementioned engine model. A conventional well-tuned PID with integral windup scheme is adopted to make a comparison. The results emphasize that the proposed controller is with stable and adaptive ability but without needing complex and tough parameters regulation. Moreover, it has excellent disturbance rejection ability by modifying the predictive multimodels online.

APA, Harvard, Vancouver, ISO, and other styles

36

S, Igor. "Model predictive functional control for processes with unstable poles." Asian Journal of Control 10, no. 4 (2008): 507–13. http://dx.doi.org/10.1002/asjc.50.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Zhang, Haitao, Zonghai Chen, Yongji Wang, Ming Li, and Ting Qin. "Adaptive predictive control algorithm based on Laguerre Functional Model." International Journal of Adaptive Control and Signal Processing 20, no. 2 (2006): 53–76. http://dx.doi.org/10.1002/acs.885.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

HARA, Hiroki, Toshiyuki SATOH, and Naoki SAITO. "1P1-Q02 Design of Predictive Functional Control based Critical Control(New Control Theory and Motion Control (1))." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2014 (2014): _1P1—Q02_1—_1P1—Q02_4. http://dx.doi.org/10.1299/jsmermd.2014._1p1-q02_1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Xie Fang, Wang Qunjing, Li Guoli, Zhao Jiwen, Guo Jiantao, and Pan Zhifeng. "Direct Torque Control Strategy of Induction Motors Based on Predictive functional control." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, no. 7 (2013): 752–60. http://dx.doi.org/10.4156/aiss.vol5.issue7.88.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

DENG Yong-ting, 邓永停, 李洪文 LI Hong-wen, 王建立 WANG Jian-li, 阴玉梅 YIN Yu-mei, and 吴庆林 WU Qing-lin. "Speed control for PMSM based on predictive functional control and disturbance observer." Optics and Precision Engineering 22, no. 6 (2014): 1598–605. http://dx.doi.org/10.3788/ope.20142206.1598.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Yu, Zhe, Jianjun Bai, and Hongbo Zou. "Improved Distributed Predictive Functional Control With Basic Function and PID Control Structure." IEEE Access 8 (2020): 18219–27. http://dx.doi.org/10.1109/access.2020.2967886.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Zdesar, Andrej, Gregor Klancar, Gasper Music, Drago Matko, and Igor Skrjanc. "An Implementation of Predictive Functional Control for Image-Based Satellite Attitude Control." IFAC Proceedings Volumes 47, no. 3 (2014): 5339–44. http://dx.doi.org/10.3182/20140824-6-za-1003.02745.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Arbaoui, M. A., M. A. Abdelghani-idrissi, L. Estel, and M. Ayoub. "Control of a Counter-Current Heat Exchanger: Modeling and Predictive Functional Control." IFAC Proceedings Volumes 33, no. 13 (2000): 265–70. http://dx.doi.org/10.1016/s1474-6670(17)37200-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Bouhenchir, H., M. Cabassud, and M. V. Le Lann. "Predictive functional control for the temperature control of a chemical batch reactor." Computers & Chemical Engineering 30, no. 6-7 (2006): 1141–54. http://dx.doi.org/10.1016/j.compchemeng.2006.02.014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Miao, Wanjun, and Bing Xu. "Application of Feedforward Cascade Compound Control Based on Improved Predictive Functional Control in Heat Exchanger Outlet Temperature System." Applied Sciences 13, no. 12 (2023): 7132. http://dx.doi.org/10.3390/app13127132.

Full text

Abstract:

Aiming at the problems of large delay and poor anti-disturbance ability in the outlet temperature control system of the heat exchanger to optimize the control accuracy of the system and improve the control performance, this paper proposes a control scheme combining predictive functional control with proportional-integral-derivative control. Using the incremental proportional-integral-derivative control algorithm to improve the optimization objective function of the predictive functional control algorithm, a predictive functional control optimization model with a proportional-integral-derivative structure is established. The feedforward compensation control is adopted to eliminate the influence of external disturbances on the heat exchanger temperature control system. Through simulation, the proposed control scheme is compared with the feedforward cascade compound control scheme based on a proportional-integral-derivative main controller. The results show that the scheme has a small over harmonic and strong anti-interference ability. The adaptability and stability of the system are significantly improved, and the exit temperature of the heat exchanger can be effectively controlled.

APA, Harvard, Vancouver, ISO, and other styles

46

Xie Fang, Wang Qunjing, and Li Guoli. "Predictive Functional Control for the Induction Motors Based on FOC." International Journal of Advancements in Computing Technology 4, no. 16 (2012): 294–303. http://dx.doi.org/10.4156/ijact.vol4.issue16.34.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Schallock, Robert W., Kenneth R. Muske, and James C. Peyton Jones. "Model Predictive Functional Control for an Automotive Three-way Catalyst." SAE International Journal of Fuels and Lubricants 2, no. 1 (2009): 242–49. http://dx.doi.org/10.4271/2009-01-0728.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

WATANABE, Yoshihiro, Toshiyuki SATO, Nobuhiko SAGA, and Naoki SAITO. "2P1-A16 Predictive Functional Control of Pneumatic Artificial Muscle Arm." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2009 (2009): _2P1—A16_1—_2P1—A16_2. http://dx.doi.org/10.1299/jsmermd.2009._2p1-a16_1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Primucci, Mauricio, and Marta Basualdo. "THERMODYNAMIC PREDICTIVE FUNCTIONAL CONTROL APPLIED TO CSTR WITH JACKET SYSTEM." IFAC Proceedings Volumes 35, no. 1 (2002): 361–66. http://dx.doi.org/10.3182/20020721-6-es-1901.01369.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Yang, Bo, Zuhua Xu, Yi Yang, and Furong Gao. "Application of Two-Dimensional Predictive Functional Control in Injection Molding." Industrial & Engineering Chemistry Research 54, no. 41 (2015): 10088–102. http://dx.doi.org/10.1021/acs.iecr.5b02385.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!