Journal articles on the topic 'Nonlinear Control'

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1

Goncharenko, Borys, Larysa Vikhrova, and Mariia Miroshnichenko. "Optimal control of nonlinear stationary systems at infinite control time." Central Ukrainian Scientific Bulletin. Technical Sciences, no. 4(35) (2021): 88–93. http://dx.doi.org/10.32515/2664-262x.2021.4(35).88-93.

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The article presents a solution to the problem of control synthesis for dynamical systems described by linear differential equations that function in accordance with the integral-quadratic quality criterion under uncertainty. External perturbations, errors and initial conditions belong to a certain set of uncertainties. Therefore, the problem of finding the optimal control in the form of feedback on the output of the object is presented in the form of a minimum problem of optimal control under uncertainty. The problem of finding the optimal control and initial state, which maximizes the quality criterion, is considered in the framework of the optimization problem, which is solved by the method of Lagrange multipliers after the introduction of the auxiliary scalar function - Hamiltonian. The case of a stationary system on an infinite period of time is considered. The formulas that can be used for calculations are given for the first and second variations. It is proposed to solve the problem of control search in two stages: search of intermediate solution at fixed values of control and error vectors and subsequent search of final optimal control. The solution of -optimal control for infinite time taking into account the signal from the compensator output is also considered, as well as the solution of the corresponding matrix algebraic equations of Ricatti type.
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2

Liu, Lijun. "A simple nonlinearH∞control design method: Polynomial nonlinear control." International Journal of Robust and Nonlinear Control 28, no. 17 (September 12, 2018): 5406–23. http://dx.doi.org/10.1002/rnc.4322.

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3

JO, Hoonhee, Hiroshi YABUNO, Yuki SAKAI, and Tosiyuki KANAKUBO. "106 Vibration Control by a Passive Nonlinear Damper." Proceedings of the Dynamics & Design Conference 2006 (2006): _106–1_—_106–6_. http://dx.doi.org/10.1299/jsmedmc.2006._106-1_.

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4

SUZUKI, Satoshi, and Kenzo NONAMI. "1B11 Nonlinear Adaptive Control for Small-Scale Helicopter." Proceedings of the Symposium on the Motion and Vibration Control 2010 (2010): _1B11–1_—_1B11–11_. http://dx.doi.org/10.1299/jsmemovic.2010._1b11-1_.

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5

Ngo, Quang Hieu, Quoc Chi Nguyen, and Keum-Shik Hong. "1C15 Nonlinear Control of an Offshore Container Crane." Proceedings of the Symposium on the Motion and Vibration Control 2010 (2010): _1C15–1_—_1C15–7_. http://dx.doi.org/10.1299/jsmemovic.2010._1c15-1_.

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6

Víteček, Antonín, and Miluše Vítečková. "Nonlinear Control Synthesis." IFAC Proceedings Volumes 30, no. 21 (September 1997): 115–20. http://dx.doi.org/10.1016/s1474-6670(17)41425-x.

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7

Nijmeijer, Henk. "Nonlinear control design." Automatica 33, no. 9 (September 1997): 1769–70. http://dx.doi.org/10.1016/s0005-1098(97)82237-6.

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8

Bienlinska, Ewa. "Nonlinear MV Control." IFAC Proceedings Volumes 30, no. 6 (May 1997): 685–90. http://dx.doi.org/10.1016/s1474-6670(17)43444-6.

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9

Martin, Greg, and Steve McGarel. "Nonlinear mill control." ISA Transactions 40, no. 4 (September 2001): 369–79. http://dx.doi.org/10.1016/s0019-0578(01)00008-8.

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10

Kaczorek, Tadeusz. "Nonlinear control design." Control Engineering Practice 5, no. 4 (April 1997): 585–86. http://dx.doi.org/10.1016/s0967-0661(97)83769-0.

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11

Kaczorek, Tadeusz. "Nonlinear control systems." Control Engineering Practice 5, no. 5 (May 1997): 733–34. http://dx.doi.org/10.1016/s0967-0661(97)85452-4.

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12

Kaczorek, Tadeusz. "Nonlinear process control." Control Engineering Practice 5, no. 3 (March 1997): 441. http://dx.doi.org/10.1016/s0967-0661(97)87527-2.

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13

Ghosh, J., and B. Paden. "Nonlinear repetitive control." IEEE Transactions on Automatic Control 45, no. 5 (May 2000): 949–54. http://dx.doi.org/10.1109/9.855558.

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14

Parrish, J. R., and C. B. Brosilow. "Nonlinear inferential control." AIChE Journal 34, no. 4 (April 1988): 633–44. http://dx.doi.org/10.1002/aic.690340413.

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15

Kulkarni, Bhaskar D., Sanjeev S. Tambe, Neelkant V. Shukla, and Pradeep B. Deshpande. "Nonlinear pH control." Chemical Engineering Science 46, no. 4 (1991): 995–1003. http://dx.doi.org/10.1016/0009-2509(91)85092-c.

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16

Kwon. "Enhanced Multi-Channel Adaptive Noise Control Compensating Nonlinear Distortions." Journal of the Acoustical Society of Korea 34, no. 1 (2015): 46. http://dx.doi.org/10.7776/ask.2015.34.1.046.

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17

Salem, M., M. A. Sh Ashtiani, and S. H. Sadati. "Nonlinear Flight Control System Design Including Handling Qualities Evaluation." Journal of Control Engineering and Technology 4, no. 3 (July 30, 2014): 160–65. http://dx.doi.org/10.14511/jcet.2014.040301.

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18

Ledkov, A. S., and R. S. Pikalov. "Nonlinear Control of Tether Retrieval in an Elliptical Orbit." Nelineinaya Dinamika 19, no. 1 (2023): 0. http://dx.doi.org/10.20537/nd230401.

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Tether retrieval is an important stage in many projects using space tether systems. It is known that uniform retrieval is an unstable process that leads to the winding of the tether on a satellite at the final stage of retraction. This is a serious obstacle to the practical application of space tethers in the tasks of climbing payloads to a satellite and docking the spacecraft with a tethered satellite after its capture. The paper investigates the plane motion of a space tether system with a massless tether of variable length in an elliptical orbit. A new control law that ensures the retrieval of the tether without increasing the amplitude of oscillations at the final stage is proposed. The asymptotic stability of the space tether system’s controlled motion in an elliptical orbit is proved. A numerical analysis of tether retrieval is carried out. The influence of the eccentricity of the orbit on the retrieval process is investigated. The results of the work can be useful in preparing missions of the active space debris removal and in performing operations involving tether retrieval.
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19

Sahamijoo, Amirzubir, Farzin Piltan, Ali Taghizadegan, Rouhollah Bahrami, Hossein Rashidi Bod, Somayeh Jowkar, and Nasri B. Sulaiman. "Nonlinear Digital-Based Control of Nonlinear System." International Journal of Advanced Science and Technology 102 (May 31, 2017): 17–26. http://dx.doi.org/10.14257/ijast.2017.102.02.

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20

Li, Cong, and Xi Min Liu. "Nonlinear System Control Strategies." Advanced Materials Research 694-697 (May 2013): 2157–61. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.2157.

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A nonlinear model of a liquid level process is obtained on the analysis of its nonlinear characteristics. Then a practical nonlinear system control strategy of the liquid level process based on single chip computer is presented. By measuring the liquid level and flow rate, two key parameters of the liquid level process, the amplification coefficient and time constant under different load are calculated. Then the control signal is calculated according to the selected control method and the automatic control of the nonlinear system is realized. The test results are given and it shows that the nonlinear control strategy is better then the linear control strategy. The nonlinear control strategy can improve control quality considerably.
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21

Lu, Ping. "Tracking Control of Nonlinear Systems with Bounded Controls and Control Rates." IFAC Proceedings Volumes 29, no. 1 (June 1996): 2307–12. http://dx.doi.org/10.1016/s1474-6670(17)58017-9.

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22

Lu, Ping. "Tracking control of nonlinear systems with bounded controls and control rates." Automatica 33, no. 6 (June 1997): 1199–202. http://dx.doi.org/10.1016/s0005-1098(97)00033-2.

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23

Wang, Meiqiao, and Wuquan Li. "Distributed adaptive control for nonlinear multi-agent systems with nonlinear parametric uncertainties." Mathematical Biosciences and Engineering 20, no. 7 (2023): 12908–22. http://dx.doi.org/10.3934/mbe.2023576.

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<abstract><p>This paper considers the distributed tracking control problem for a class of nonlinear multi-agent systems with nonlinearly parameterized control coefficients and inherent nonlinearities. The essential of multi-agent systems makes it difficult to directly generalize the existing works for single nonlinearly parameterized systems with uncontrollable unstable linearization to the case in this paper. To dominate the inherent nonlinearities and nonlinear parametric uncertainties, a powerful distributed adaptive tracking control is presented by combing the algebra graph theory with the distributed backstepping method, which guarantees that all the closed-loop system signals are global bounded while the range of the tracking error between the follower's output and the leader's output can be tuned arbitrarily small. Finally, a numerical example is provided to verify the validity of the developed methods.</p></abstract>
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24

Osborne, Ian S. "Nonlinear control of topology." Science 372, no. 6537 (April 1, 2021): 43.18–45. http://dx.doi.org/10.1126/science.372.6537.43-r.

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25

John, Jan, and Richard Ŝusta. "LOW-COST NONLINEAR CONTROL." IFAC Proceedings Volumes 40, no. 1 (2007): 160–65. http://dx.doi.org/10.3182/20070213-3-cu-2913.00027.

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26

Kumar, Mrinal, S. Chakravorty, and John L. Junkins. "Computational Nonlinear Stochastic Control." Journal of Guidance, Control, and Dynamics 32, no. 3 (May 2009): 1050–55. http://dx.doi.org/10.2514/1.37128.

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27

Slater, Joseph C., and Daniel J. Inman. "Nonlinear modal control method." Journal of Guidance, Control, and Dynamics 18, no. 3 (May 1995): 433–40. http://dx.doi.org/10.2514/3.21406.

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28

GOLDEN, M. P., S. A. CHESNA, and B. E. YDSTIE. "ADAPTIVE NONLINEAR MODEL CONTROL." Chemical Engineering Communications 63, no. 1 (January 1988): 17–37. http://dx.doi.org/10.1080/00986448808940300.

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29

PATWARDHAN, ASHUTOSH A., JAMES B. RAWLINGS, and THOMAS F. EDGAR. "NONLINEAR MODEL PREDICTIVE CONTROL." Chemical Engineering Communications 87, no. 1 (January 1990): 123–41. http://dx.doi.org/10.1080/00986449008940687.

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30

Liu, Ren-hong, and Wei-han Tan. "Nonlinear Control of Chaos." Chinese Physics Letters 15, no. 4 (April 1, 1998): 249–51. http://dx.doi.org/10.1088/0256-307x/15/4/006.

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31

Gruyitch, Lyubomir T. "Nonlinear hybrid control systems." Nonlinear Analysis: Hybrid Systems 1, no. 2 (June 2007): 139–40. http://dx.doi.org/10.1016/j.nahs.2006.10.001.

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32

Katende, Edward, Arthur Jutan, and Rob Corless. "Quadratic Nonlinear Predictive Control." Industrial & Engineering Chemistry Research 37, no. 7 (July 1998): 2721–28. http://dx.doi.org/10.1021/ie970754v.

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33

Zhong-Ping Jiang and I. Marcels. "Robust nonlinear integral control." IEEE Transactions on Automatic Control 46, no. 8 (2001): 1336–42. http://dx.doi.org/10.1109/9.940947.

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34

Wagg, David, Simon Neild, C. W. S. To, and S. K. Lau. "Nonlinear Vibration with Control." Noise Control Engineering Journal 58, no. 4 (2010): 462. http://dx.doi.org/10.3397/1.3455047.

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35

Ansari, R. M., and M. O. Tadé. "Constrained Nonlinear Multivariable Control." Chemical Engineering Research and Design 78, no. 4 (May 2000): 621–29. http://dx.doi.org/10.1205/026387600527563.

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36

Suyama, Koichi. "Reliable nonlinear control systems." Electronics and Communications in Japan (Part II: Electronics) 82, no. 1 (January 1999): 11–22. http://dx.doi.org/10.1002/(sici)1520-6432(199901)82:1<11::aid-ecjb2>3.0.co;2-x.

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37

Hatzimanikatis, Vassily. "Nonlinear Metabolic Control Analysis." Metabolic Engineering 1, no. 1 (January 1999): 75–87. http://dx.doi.org/10.1006/mben.1998.0108.

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38

Singh, Sonal, and Shubhi Purwar. "Enhanced Composite Nonlinear Control Technique using Adaptive Control for Nonlinear Delayed Systems." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 3 (May 18, 2020): 396–404. http://dx.doi.org/10.2174/2213111607666181226151059.

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Background and Introduction: The proposed control law is designed to provide fast reference tracking with minimal overshoot and to minimize the effect of unknown nonlinearities and external disturbances. Methods: In this work, an enhanced composite nonlinear feedback technique using adaptive control is developed for a nonlinear delayed system subjected to input saturation and exogenous disturbances. It ensures that the plant response is not affected by adverse effect of actuator saturation, unknown time delay and unknown nonlinearities/ disturbances. The analysis of stability is done by Lyapunov-Krasovskii functional that guarantees asymptotical stability. Results: The proposed control law is validated by its implementation on exothermic chemical reactor. MATLAB figures are provided to compare the results. Conclusion: The simulation results of the proposed controller are compared with the conventional composite nonlinear feedback control which illustrates the efficiency of the proposed controller.
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39

Yang, Donglai, Xingrong Huang, and Xiaodong Yang. "A Hybrid Nonlinear Active Control Strategy Combining Dry Friction Control and Nonlinear Velocity Compensation Control." Applied Sciences 11, no. 24 (December 9, 2021): 11670. http://dx.doi.org/10.3390/app112411670.

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Friction dampers are widely used in structural vibration suppression in various fields, such as aeronautics, astronautics, robotics, precision manufacturing, etc. Traditional friction dampers are mainly used in a passive way to optimize vibration suppression with an immutable pressure around certain excitation. In this manuscript, a hybrid control strategy by considering both the friction force in the active control law and a nonlinear velocity compensation force is put forward: First, the normal force applied on the friction damper was adjusted to ensure its vibration reduction effect under different excitation for a first passive control; second, the active control law was established by combining the dry friction force and the velocity control force in the state space; lastly, the stability of the nonlinear control law was determined by Lyapunov criterion. Numerical simulations were conducted on a three degree-of-freedom system (3-DOF) based on the proposed hybrid control strategy, to show the control efficiency in vibration suppression and economic efficiency in energy input into the system. Simulation results showed that the proposed control law could reduce the amplitude of the active control force by about 5% without degrading the control efficiency.
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40

Sun, Yeong-Jeu. "Global Exponential Stabilization for a Class of Uncertain Nonlinear Control Systems Via Linear Static Control." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (December 31, 2018): 1227–30. http://dx.doi.org/10.31142/ijtsrd20230.

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41

Han, Jonghui, and Wan Kyun Chung. "2A1-G02 Comparison Study of Nonlinear H_∞ Control and Sliding Mode Control for Robot Manipulators." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2009 (2009): _2A1—G02_1—_2A1—G02_4. http://dx.doi.org/10.1299/jsmermd.2009._2a1-g02_1.

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42

Abdel-Rohman, Mohamed, and Hasan Al-Sanad. "Control of Nonlinear Vibrations of Foundations Built in Sandy Soil." Journal of Vibration and Control 2, no. 1 (January 1996): 53–68. http://dx.doi.org/10.1177/107754639600200104.

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Sandy soils behave nonlinearly at stress levels below the peak stress. This influences the dynamic response of the foundations built on sandy soil. This paper shows first the nonlinear vibration response of a block-type foundation due to the vertical, horizontal, and rocking excitations. The nonlinear vibration responses are compared with the linear response assuming linear soil behavior. The second part of the paper shows how to control the harmful effects due to the nonlinear vibrations using passive and active control mechanisms attached to the foundation.
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43

Дмитришин, Дмитрий Владимирович, Александр Михайлович Стоколос, Иван Михайлович Скрынник, and Елена Дмитриевна Франжева. "Generalization of nonlinear control for nonlinear discrete systems." Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies, no. 28 (September 7, 2017): 3–18. http://dx.doi.org/10.20998/2079-0023.2017.28.01.

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44

Im, Kyu-Mann, Kyung-Young So, and Jong-Wook Kim. "Robust Control for Nonlinear Systems with Nonlinear Characteristics." Journal of Korean Institute of Information Technology 14, no. 5 (May 31, 2016): 33. http://dx.doi.org/10.14801/jkiit.2016.14.5.33.

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45

Karsenti, Laurent, Françoise Lamnabhi-Lagarrigue, and Georges Bastin. "Adaptive control of nonlinear systems with nonlinear parameterization." Systems & Control Letters 27, no. 2 (February 1996): 87–97. http://dx.doi.org/10.1016/0167-6911(95)00055-0.

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46

Zhang, Zhen, Ye-Wei Zhang, and Hu Ding. "Vibration control combining nonlinear isolation and nonlinear absorption." Nonlinear Dynamics 100, no. 3 (April 23, 2020): 2121–39. http://dx.doi.org/10.1007/s11071-020-05606-6.

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47

Leonessa, Alexander, Wassim M. Haddad, and Vijaysekhar Chellaboina. "Nonlinear robust hierarchical control for nonlinear uncertain systems." Mathematical Problems in Engineering 5, no. 6 (2000): 499–542. http://dx.doi.org/10.1155/s1024123x99001210.

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A nonlinear robust control-system design framework predicated on a hierarchical switching controller architecture parameterized over a set of moving nominal system equilibria is developed. Specifically, using equilibria-dependent Lyapunov functions, a hierarchical nonlinear robust control strategy is developed that robustly stabilizes a given nonlinear system over a prescribed range of system uncertainty by robustly stabilizing a collection of nonlinear controlled uncertain subsystems. The robust switching nonlinear controller architecture is designed based on a generalized (lower semicontinuous) Lyapunov function obtained by minimizing a potential function over a given switching set induced by the parameterized nominal system equilibria. The proposed framework robustly stabilizes a compact positively invariant set of a given nonlinear uncertain dynamical system with structured parametric uncertainty. Finally, the efficacy of the proposed approach is demonstrated on a jet engine propulsion control problem with uncertain pressure-flow map data.
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48

Gregorčič, Gregor, and Gordon Lightbody. "Nonlinear model-based control of highly nonlinear processes." Computers & Chemical Engineering 34, no. 8 (August 2010): 1268–81. http://dx.doi.org/10.1016/j.compchemeng.2010.03.011.

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49

M. Rouyan, Nurhana, Renuganth Varatharajoo, Samira Eshghi, Ermira Junita Abdullah, and Shinji Suzuki. "Aircraft pitch control tracking with sliding mode control." International Journal of Engineering & Technology 7, no. 4.13 (October 9, 2018): 62. http://dx.doi.org/10.14419/ijet.v7i4.13.21330.

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Sliding mode control (SMC) is one of the robust and nonlinear control methods. An aircraft flying at high angles of attack is considered nonlinear due to flow separations, which cause aerodynamic characteristics in the region to be nonlinear. This paper presents the comparative assessment for the flight control based on linear SMC and integral SMC implemented on the nonlinear longitudinal model of a fighter aircraft. The controller objective is to track the pitch angle and the pitch rate throughout the high angles of attack envelope. Numerical treatments are carried out on selected conditions and the controller performances are studied based on their transient responses. Obtained results show that both SMCs are applicable for high angles of attack.
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50

Postoyan, Romain, Nathan van de Wouw, Dragan Nesic, and W. P. Maurice H. Heemels. "Tracking Control for Nonlinear Networked Control Systems." IEEE Transactions on Automatic Control 59, no. 6 (June 2014): 1539–54. http://dx.doi.org/10.1109/tac.2014.2308598.

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