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Journal articles on the topic 'Smith Predictor'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Murakami, Iwanori, Nghia Thi Mai, Kou Yamada, Takaaki Hagiwara, Yoshinori Ando, and Hideharu Yamamoto. "A Design Method for Modified Smith Predictors for Non-Minimum-Phase Time-Delay Plants with Multiple Feedback-Connected Time-Delays." Applied Mechanics and Materials 36 (October 2010): 253–62. http://dx.doi.org/10.4028/www.scientific.net/amm.36.253.

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In this paper, we examine a design method for modified Smith predictors for non-minimum-phase time-delay plants with multiple feedback-connected time-delays. The Smith predictor is proposed by Smith to overcome time-delay and known as an effective time-delay compensator for a plant with large time-delay. The Smith predictor by Smith cannot be used for plants having an integral mode, because a step disturbance will result in a steady state error. Several papers considered the problem to design modified Smith predictors for unstable plants. However, no paper examines a design method for modified

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2

Yamada, Kou, Nghia Thi Mai, Takaaki Hagiwara, Iwanori Murakami, and Tatsuya Hoshikawa. "A Design Method for Modified Smith Predictive Control System to Attenuate Periodic Disturbances." ECTI Transactions on Electrical Engineering, Electronics, and Communications 9, no. 1 (2010): 142–49. http://dx.doi.org/10.37936/ecti-eec.201191.172464.

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The modified Smith predictor is well known as an effective time-delay compensator for a plant with large time-delays, and several papers on the modified Smith predictor have been published. Recently, the parameterization of all stabilizing modified Smith predictors for minimum-phase time-delay plants is obtained by Yamada and Matsushima. In addition, Yamada et al. expanded the result by Yamada and Matsushima and proposed the parameterization of all stabilizing modi¯ed Smith predictors for non-minimum-phase time-delay plants. However, they do not examine a design method for modified Smith predi

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3

Yamada, Kou, Nghia Thi Mai, Yoshinori Ando, Takaaki Hagiwara, Iwanori Murakami, and Tatsuya Hoshikawa. "A Design Method for Stabilizing Modified Smith Predictors for Multiple-Input/Multiple-Output Time-Delay Plants." Key Engineering Materials 459 (December 2010): 221–33. http://dx.doi.org/10.4028/www.scientific.net/kem.459.221.

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The modified Smith predictor is well known as an effective time-delay compensator for a plant with large time-delays, and several papers on the modified Smith predictor have been published. The parameterization of all stabilizing modified Smith predictors for single-input/single-output time-delay plants is obtained by Yamada et al. However, they do not examine the parameterization of all stabilizing modified Smith predictors for multiple-input/multiple-output time-delay plants. The purpose of this paper is to expand the result by Yamada et al. and to propose the parameterization of all stabili

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4

Mai, Nghia Thi, Kou Yamada, Yoshinori Ando, Iwanori Murakami, and Tatsuya Hoshikawa. "A Design Method for Two-Degree-of-Freedom Modified Smith Predictors for Multiple-Input/Multiple-Output Time-Delay Plants." Key Engineering Materials 497 (December 2011): 221–33. http://dx.doi.org/10.4028/www.scientific.net/kem.497.221.

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The modified Smith predictor is well known as an effective time-delay compensator fora plant with large time-delays, and several papers on the modified Smith predictor have been published.Recently, the parameterization of all stabilizing modified Smith predictors for time-delay plantswas obtained by Yamada et al. But, their method cannot specify the input-output characteristic andthe feedback characteristic separately. From the practical point of view, it is desirable that the inputoutputcharacteristic and the feedback characteristic are specified separately. In this paper, we proposethe param

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5

Tao, Laihua, Shian Chen, Guisheng Fang, and Guanghao Zu. "Smith Predictor-Taylor Series-Based LQG Control for Time Delay Compensation of Vehicle Semiactive Suspension." Shock and Vibration 2019 (June 12, 2019): 1–12. http://dx.doi.org/10.1155/2019/3476826.

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A Smith predictor-Taylor series-based LQG (STLQG) control to compensate time delay of a semiactive suspension system is newly presented. This control consists of a Taylor series-based LQG (TLQG) control and a Smith predictor based on the TLQG. The TLQG control compensates one half of time delay to decrease magnification from whole time delay compensation. The Smith predictor based on the TLQG compensates the other half to decrease horizontal shift from whole time delay compensation using the Smith predictor-based LQG. Finally, a practical case illustrates advantages of the STLQG control.

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6

Zhang, Fei, Li Feng Ye, Wen Quan Sun, and Xiao Huai Ren. "Research of Smith Monitor AGC Based on Active Disturbance Rejection Control." Advanced Materials Research 572 (October 2012): 49–54. http://dx.doi.org/10.4028/www.scientific.net/amr.572.49.

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In response to the characteristics of large time delay, nonlinear, various disturbances in Monitor AGC system for cold rolling mill, a control strategy combining Smith predictor with Active Disturbance Rejection Control (ADRC) is proposed. Approximation ability of Extended State Observer (ESO) to estimate unknown parts of controlled plant model is promoted by model compensated ADRC. Aimed at a 4-high cold rolling mill, simulation analysis for classical Smith predictor monitor AGC and ADRC-Smith predictor Monitor AGC is used. The results indicate that ADRC-Smith predictor Monitor AGC has better

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7

Sang, Shiqing, and Pengcheng Nie. "Modified Smith Predictor Based on H 2 and Predictive PI Control Strategy." Mathematical Problems in Engineering 2021 (August 9, 2021): 1–17. http://dx.doi.org/10.1155/2021/7228637.

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In this paper, a new type of modified Smith predictor based on the H 2 and predictive PI control strategy is proposed. The modified Smith predictor not only has H 2 robust performance but also has a similar predictive PI control structure. By introducing a time delay term, the modified Smith predictor controller overcomes the shortcoming that the conventional control algorithm can only use the low-order approximation of time delay term to design the control algorithm. The modified Smith predictor controller’s output is related to the current system error and related to the output in a period b

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8

Dumitrache, Ion, and Ioana Mihu. "Rule-Based Smith Predictor Controller." IFAC Proceedings Volumes 33, no. 25 (2000): 329–33. http://dx.doi.org/10.1016/s1474-6670(17)39361-8.

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9

Sourdille, Pauline, and Aidan O’Dwyer. "New modified smith predictor designs." IFAC Proceedings Volumes 36, no. 19 (2003): 77–82. http://dx.doi.org/10.1016/s1474-6670(17)33305-0.

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10

Xie, Yu Dong, Yan Jun Liu, and Yong Wang. "Design of Cascade-Smith Hybrid Control Structure for Pressure Control." Key Engineering Materials 419-420 (October 2009): 797–800. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.797.

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A new hybrid-control structure for the compensation of the volume-delay negative effect in the mixed-gas pressure control is designed. The volume-delay mechanism is discussed. A Smith predictor is used in the primary loop of a cascade control system where the secondary loop has a negligible delay while the primary loop has a significant and variant delay. To deal with the sensitivity of Smith predictor to modeling error, the gas pipe model for the Smith predictor can be updated by measuring the gas pressure and choosing the model characteristics through a lookup table. The results show that th

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11

Tian, Zi De. "Algorithm and Implementation of Smith Predictive Control." Applied Mechanics and Materials 687-691 (November 2014): 60–63. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.60.

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With invariable time delay theoretically,Smith predictor is deeply studied,the fact that the Smith predictor depends on the math model of the system is found ,and so it is very difficult to control the time-varying delay system well. Therefore,it is necessary to take an effective method--using PID controller with the digital Smith predictor,and studying its control algorithm,and doing the simulation in the lab of micro-computer control. Simulation results have proved the efficiency of the algorithm and the validity.

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12

Chen, Guangda, Dejun Liu, Yongxin Mu, Jinfei Xu, and Yanming Cheng. "A Novel Smith Predictive Linear Active Disturbance Rejection Control Strategy for the First-Order Time-Delay Inertial System." Mathematical Problems in Engineering 2021 (March 24, 2021): 1–13. http://dx.doi.org/10.1155/2021/5560123.

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The control strategy research of the time-delay system is a focused issue in the control field. In order to furthermore improve the performance of the first-order time-delay inertial system, firstly, a new Smith predictor structure is proposed, which solves the constraint that the conventional Smith predictor needs to match the actual object model. Secondly, the performance and parameter function of the new Smith predictor are discussed in theory to provide the basis for parameter tuning. Finally, a new Smith predictor combined with linear active disturbance rejection control (LADRC) is propos

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13

LAUGHLIN, DANIEL L., DANIEL E. RIVERA, and MANFRED MORARI. "Smith predictor design for robust performance." International Journal of Control 46, no. 2 (1987): 477–504. http://dx.doi.org/10.1080/00207178708933912.

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14

Léonard, F. "Tuning of a Modified Smith Predictor." IFAC Proceedings Volumes 31, no. 18 (1998): 539–42. http://dx.doi.org/10.1016/s1474-6670(17)42047-7.

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15

Hung, Shih-Bo, Cheng-Ching Yu, and Yu-Chang Cheng. "A Smith Predictor Enhanced PID Controller." IFAC Proceedings Volumes 37, no. 9 (2004): 661–66. http://dx.doi.org/10.1016/s1474-6670(17)31885-2.

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16

Habermayer, M. "Robustness Properties of Smith Predictor Control." IFAC Proceedings Volumes 24, no. 3 (1991): 1173–78. http://dx.doi.org/10.1016/s1474-6670(17)52509-4.

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17

Sigurd Skogestad, Chriss Grimholt. "Should we forget the Smith Predictor?" IFAC-PapersOnLine 51, no. 4 (2018): 769–74. http://dx.doi.org/10.1016/j.ifacol.2018.06.203.

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18

Miall, R. C., D. J. Weir, D. M. Wolpert, and J. F. Stein. "Is the Cerebellum a Smith Predictor?" Journal of Motor Behavior 25, no. 3 (1993): 203–16. http://dx.doi.org/10.1080/00222895.1993.9942050.

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19

Mehallel, Aissa, and Vicente Feliu-Batlle. "Reducing the Impacts of Withdrawals on the Water Distribution in Main Irrigation Canals Based on a Modified Smith Predictor Control Scheme." Water 17, no. 3 (2025): 373. https://doi.org/10.3390/w17030373.

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The main function of irrigation canals is to transport water efficiently from a source to target locations, but flow disturbances caused by farmer withdrawals often reduce water delivery efficiency to the destination. The dynamics of these canals involve a significant time delay. To address this, control systems based on the Smith predictor suitable for time-delayed systems have been proposed. However, the classical Smith predictor struggles with disturbance rejection, prompting recent modifications to enhance this capability. This paper addresses a new robust Smith predictor control scheme th

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20

Sakib, Nazmus, Zakia Ahmed, and Craig A. Woolsey. "Performance Analysis of Three Predictors for Mitigating Input and Output Time Delays." Journal of Aerospace Information Systems 22, no. 2 (2025): 59–72. https://doi.org/10.2514/1.i011466.

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This paper presents a novel extended Kalman filter (EKF)-based nonlinear predictor—the extended Kalman predictor (EKP)—and compares its performance with two linear predictors, the Smith predictor (SP) and the Kalman predictor (KP). A motivating application is telerobotic operation using a predictive display that requires knowledge of the robot pose despite time delays at the input and the output. The paper provides the mathematical formulation of the EKP, as well as the two linear predictors, and demonstrates their use for the simulated flight of a small, fixed-wing uncrewed air vehicle. The E

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21

Xie, Pei Zhang, and Xing Peng Zhou. "Research on Chlorine Dosing Control Based on Adaptive Generalized Predictive Control." Applied Mechanics and Materials 415 (September 2013): 89–94. http://dx.doi.org/10.4028/www.scientific.net/amm.415.89.

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Chlorine dosing is a complicated system with time delay, time-varying, non-linear and coupling. In this paper, multivariable adaptive generalized predictive controller based on Smith predictor is proposed. Instead of the optimal predictor, the Smith predictor with adaptive identifying parameters can increase the robustness of the MIMO system. Simulation and application in water-works at Suzhou (China) shows that the algorithm can overcome time-varying, time delay and disturbance.

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22

Huba, Mikuláš, and Igor Bélai. "Limits of a simplified controller design based on integral plus dead time models." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 6 (2018): 728–41. http://dx.doi.org/10.1177/0959651818755957.

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This article presents design and evaluation of filtered proportional–integral controllers and filtered Smith predictor–inspired constrained dead time compensators. Both are based on the integral plus dead time and on the first-order time delayed plant models. They are compared as for tuning simplicity, robustness and noise attenuation. Such a comparison, which presents a robustness test regarding the importance of the internal plant feedback approximation, may be carried out by performance measures built on deviations of the input and output transient responses from their ideal shapes. When co

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23

Li, Shi Zhe, Yong Guang Ma, and Zheng Zhao. "Simulation and Analysis to Control Algorithms of the Large Time-Delay System Based on Simulink." Advanced Materials Research 532-533 (June 2012): 654–58. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.654.

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Because of the universal existence of time-delay phenomenon in industrial process control, this paper analyzes the characteristics of two kinds of control methods, discusses the relations between general control algorithm and Smith predictor compensation, and simulated studies the mismatch of model, the change of delay time and the effect of the disturbance to the system. Simulation results show that: improved Smith predictor controller has the advantages of fast response and low overshoot. Especially in the case of the mismatch of model, it has better robustness and stronger anti-interference

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24

Tolu, Silvia, Marie Claire Capolei, Lorenzo Vannucci, Cecilia Laschi, Egidio Falotico, and Mauricio Vanegas Hernández. "A Cerebellum-Inspired Learning Approach for Adaptive and Anticipatory Control." International Journal of Neural Systems 30, no. 01 (2019): 1950028. http://dx.doi.org/10.1142/s012906571950028x.

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The cerebellum, which is responsible for motor control and learning, has been suggested to act as a Smith predictor for compensation of time-delays by means of internal forward models. However, insights about how forward model predictions are integrated in the Smith predictor have not yet been unveiled. To fill this gap, a novel bio-inspired modular control architecture that merges a recurrent cerebellar-like loop for adaptive control and a Smith predictor controller is proposed. The goal is to provide accurate anticipatory corrections to the generation of the motor commands in spite of sensor

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25

Nguyen, Tai Trong, and Thanh Van Dao. "Study of adaptive Fuzzy Smith control for time-delay systems." Science and Technology Development Journal 18, no. 3 (2015): 143–49. http://dx.doi.org/10.32508/stdj.v18i3.895.

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In this paper, an adaptive Fuzzy Smith control method is presented to control the varying time delay systems. Based on the online parameter estimation, Smith predictor can be updated online which can eliminate the time delay element. This method overcame the shortcomings that control effect of conventional Smith predictor will be worse when the parameters of time delay systems change. Furthermore, an adaptive fuzzy controller adjusts online the PID control parameters to improve the control performance. Simulation results show the effectiveness of the proposed method.

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26

Zhang, Haitao, and Zhen Li. "Fuzzy Immune Control Based Smith Predictor for Networked Control Systems." International Journal of Engineering and Technology 3, no. 1 (2011): 81–84. http://dx.doi.org/10.7763/ijet.2011.v3.204.

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27

Yang, Zhi Gang, and Jun Lei Qian. "PID Neural Network Smith Predictive Control for a Control System with Time Delay." Applied Mechanics and Materials 300-301 (February 2013): 1533–39. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.1533.

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According to the time delay in industrial control objects, the PID neural network control method and Smith predictor compensation principle are combined to form the PIDNN-Smith control algorithm. Namely, in Smith predictor compensation control system, the PIDNN as the controller, using the PIDNN neural network on-line self-learning function to tune weight value, make the implicit layers of proportion, integral and differential neurons to achieve the best combination, thus overcome disadvantages of the conventional PID algorithm that does not adapt to the control of large delay system and conve

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28

Liu, Wen Bo, and Meng Xiao Wang. "Research of Nonlinear PID Control Method for Time Delay Systems." Applied Mechanics and Materials 44-47 (December 2010): 3839–43. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.3839.

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A nonlinear PID control method based on Smith predictor is presented in this paper to control the time delay systems. This method combines the Smith predictor with nonlinear controller. And the simulation study had been done for a first-order time-delay system. The results show that this method offer good static and dynamic characteristics, at the same time its disturbance-rejection and robustness are better.

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29

Li, Shu De, Yi Chen, and Cai Xia Liu. "Smith Predictor Based on Predicting Induced-Delay." Advanced Materials Research 201-203 (February 2011): 2003–6. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.2003.

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Since communication network is introduced into control system, induced-delay appears. Because of the delay, the performance of networked control system becomes bad, even unsteady. Conventional Smith predictor is sensitive to error in object model and needs delay’s value in advance. Regarding random delay, its application is limited. In this paper, we propose a method based on induced-delay predicted by BP neural network, which use two historical delay values to predict the next one. Smith predictor adjusts its parameters according to that value in time. The simulating results indicate that the

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30

Deltour, Jean-Luc, and Franck Sanfilippo. "Introduction of Smith Predictor into Dynamic Regulation." Journal of Irrigation and Drainage Engineering 124, no. 1 (1998): 47–52. http://dx.doi.org/10.1061/(asce)0733-9437(1998)124:1(47).

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31

Smith, L. "Modified Smith predictor for extruded diameter control." Computing & Control Engineering Journal 10, no. 2 (1999): 57–62. http://dx.doi.org/10.1049/cce:19990204.

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32

Bazhanov, V. L. "Smith predictor in digital feedback control systems." Automation and Remote Control 71, no. 8 (2010): 1695–704. http://dx.doi.org/10.1134/s0005117910080175.

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33

Hwang, Su-Hwan, Keum-Shik Hong, and Kyung-Tae Hong. "Modified Smith Predictor Design for a Reclaimer." IFAC Proceedings Volumes 36, no. 24 (2003): 169–74. http://dx.doi.org/10.1016/s1474-6670(17)37623-1.

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34

Miya, Hassan Sabo, Rosdiazli Bin Ibrahim, Nordin Bin Saad, Vijanth Sagayan Asirvadam, and Tran Duc Chung. "WirelessHART Process Control with Smith Predictor Compensator." Advanced Science Letters 22, no. 10 (2016): 2676–80. http://dx.doi.org/10.1166/asl.2016.7003.

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35

Hu, Qiuping, Jian-Xin Xu, and Tong Heng Lee. "Iterative learning control design for Smith predictor." Systems & Control Letters 44, no. 3 (2001): 201–10. http://dx.doi.org/10.1016/s0167-6911(01)00142-6.

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36

Hang, C. C., and B. W. Chong. "A Dual-Rate Adaptive Digital Smith Predictor." IFAC Proceedings Volumes 20, no. 5 (1987): 115–20. http://dx.doi.org/10.1016/s1474-6670(17)55487-7.

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37

Habermayer, M. "Quality Investigation of an Adaptive Smith Predictor." IFAC Proceedings Volumes 20, no. 12 (1987): 211–15. http://dx.doi.org/10.1016/s1474-6670(17)55632-3.

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38

Nortcliffe, Anne, and Jonathan Love. "Varying time delay Smith predictor process controller." ISA Transactions 43, no. 1 (2004): 61–71. http://dx.doi.org/10.1016/s0019-0578(07)60020-2.

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39

Hang, C. C., K. W. Lim, and B. W. Chong. "A dual-rate adaptive digital smith predictor." Automatica 25, no. 1 (1989): 1–16. http://dx.doi.org/10.1016/0005-1098(89)90115-5.

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40

Blanchini, Franco, Daniele Casagrande, Stefano Miani, and Umberto Viaro. "Stable LPV realisation of the Smith predictor." International Journal of Systems Science 47, no. 10 (2015): 2393–401. http://dx.doi.org/10.1080/00207721.2014.998319.

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41

Tan, Yonghong, and Achiel Van Cauwenberghe. "Nonlinear neural controller with neural Smith predictor." Neural Processing Letters 1, no. 2 (1994): 24–27. http://dx.doi.org/10.1007/bf02310939.

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42

Hölzl, Stefan L. "The case for the Smith-Åström predictor." Journal of Process Control 128 (August 2023): 103026. http://dx.doi.org/10.1016/j.jprocont.2023.103026.

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43

Guanghui, Zhang, Qian Feng, and Shao Huihe. "Robust tuning method for modified smith predictor." Journal of Systems Engineering and Electronics 18, no. 1 (2007): 89–94. http://dx.doi.org/10.1016/s1004-4132(07)60057-7.

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44

Yao, Bo, and Wan-Jun Yin. "Design of Microelectronics Microsystem Neural Learning Controller Based on Subspace State Recognition." Journal of Nanoelectronics and Optoelectronics 16, no. 5 (2021): 744–52. http://dx.doi.org/10.1166/jno.2021.2992.

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Aiming at the large delay and large inertia in cone storage and irrigation, this paper adopts machine learning and predictive control, proposes a closed-loop N4SID (numerical subspace state system identification) algorithm, which is adjusted by IMC based on Smith predictor PI controller and parameter tuning are given, and the steps designed in cascade control are given. The experimental results verify the effectiveness of the proposed method.Compared with closed-loop SVA and open-loop methods, the method proposed in this paper has better verification results and pole assignment. According to t

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45

Barragan-Bonilla, L. A., J. F. Marquez-Rubio, B. Del Muro-Cuéllar, G. I. Duchén Sánchez, A. R. Pineda Higuera, and D. F. Novella-Rodríguez. "Observer-based control scheme for a class of high-order delayed unstable systems." Memorias del Congreso Nacional de Control Automático 5, no. 1 (2022): 38–43. http://dx.doi.org/10.58571/cnca.amca.2022.011.

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One of the most common proposals to deal with the control of delayed systems is the Smith Predictor. This strategy allows estimating the signal of interest before it is delayed. Once the signal of interest has been estimated, it can be used later in the control stage for the delay-free system. As is well known, the Smith Predictor is restricted to stable systems. In the present work, a control strategy based on an observer-predictor scheme for unstable high-order systems with time delay is proposed. Likewise, an injection scheme is presented that will be used in the design of the observer-pred

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46

Shumski, Andrei, and Dzmitry Karpovich. "INVESTIGATION OF THE ROBUST STABILITY OF SYSTEM WITH DELAY / SISTEMŲ, KURIŲ SAVYBĖ VĖLINTI, TYRIMAS PATIKIMAM STABILUMUI NUSTATYTI." Mokslas – Lietuvos ateitis 7, no. 3 (2015): 314–16. http://dx.doi.org/10.3846/mla.2015.791.

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The paper is devoted to investigation of the robust stability of system with delay. The influence of process parameters on the stability of the whole system is tested and impact to the system parameters using the Smith predictor for robust systems is defined. Pristatomas sistemų, kurioms būdingas vėlinimas, tyrimas patikimam stabilumui nustatyti. Ištirta proceso parametrų įtaka visos sistemos stabilumui ir įvertinta Smito prognozės taikymo nauda numatant patikimas sistemas.

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47

Guo, Tian Tian, and Qi Gao Hu. "Simulation of Indoor Temperature Control in VAV Air Conditioning System Based on Fuzzy PID and Smith Predictor Controller." Applied Mechanics and Materials 556-562 (May 2014): 2401–5. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2401.

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A Fuzzy PID-Smith Control algorithm is proposed based on Fuzzy PID Control and Smith Predictor Control for the indoor temperature control of VAV air conditioning system which is a big inertia, pure time-delay, nonlinearity and greatly affected by circumstances complex temperature system. The algorithm flow and fuzzy reasoning rules were designed and it possesses the advantages of both Fuzzy PID and Smith Predictor. The simulation results show that the algorithm has fast response, small overshoot, high accuracy, strong robust and self-setting in line when the parameter changes and a great impro

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48

Baskys, Algirdas. "Switched-Delay Smith Predictor for the Control of Plants with Response-Delay Asymmetry." Sensors 23, no. 1 (2022): 258. http://dx.doi.org/10.3390/s23010258.

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The modification of a Smith predictor for the control of plants with response-delay asymmetry has been proposed. It was developed for application in frequency converters for the control of the speed of the AC induction motor drives of pumps used in water- and liquefied-petroleum-gas-supply systems. Such plants are characterized by long response delays, and often these delays are asymmetric, i.e., the response delay to the rising and falling plant-control signal is different. A distinctive feature of the proposed modification is that the value of the response delay in the model of the plant use

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49

Mehallel, Aissa, and Vicente Feliu-Batlle. "Reduction of the Disturbance Effects in a Twin Rotor Multi-Input Multi-Output System Based on a Modified Smith Predictor Control Scheme." Applied Sciences 15, no. 10 (2025): 5499. https://doi.org/10.3390/app15105499.

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Three factors that complicate the position and orientation control of unmanned autonomous vehicles are the hardware-induced delays, delays caused by teleoperated modes of operation, and persistent disturbances such as wind. In this article, we study how to overcome these challenges by controlling a twin rotor multi-input, multi-output system. This nonlinear system has two degrees of freedom and significant cross-coupling, making its control particularly challenging. Time delay and external disturbances contribute to system instability and complicate flight control. The effects of time delay ca

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Li, Jiangyun, Kang Wang, and Yang Li. "Automatic Gauge Control in Rolling Process Based on Multiple Smith Predictor Models." Abstract and Applied Analysis 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/872418.

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Abstract:

Automatic rolling process is a high-speed system which always requires high-speed control and communication capabilities. Meanwhile, it is also a typical complex electromechanical system; distributed control has become the mainstream of computer control system for rolling mill. Generally, the control system adopts the 2-level control structure—basic automation (Level 1) and process control (Level 2)—to achieve the automatic gauge control. In Level 1, there is always a certain distance between the roll gap of each stand and the thickness testing point, leading to the time delay of gauge control

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