Log in

Relevant bibliographies by topics / Stochastic robust control / Journal articles

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

Journal articles on the topic 'Stochastic robust control'

Author: Grafiati

Published: 30 May 2022

Last updated: 26 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 'Stochastic robust 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

Pun, Chi Seng. "Robust time-inconsistent stochastic control problems." Automatica 94 (August 2018): 249–57. http://dx.doi.org/10.1016/j.automatica.2018.04.038.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Zhang, Tianliang, Yu-Hong Wang, Xiushan Jiang, and Weihai Zhang. "Robust Stability, Stabilization, andH∞Control of a Class of Nonlinear Discrete Time Stochastic Systems." Mathematical Problems in Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/5185784.

Full text

Abstract:

This paper studies robust stability, stabilization, andH∞control for a class of nonlinear discrete time stochastic systems. Firstly, the easily testing criteria for stochastic stability and stochastic stabilizability are obtained via linear matrix inequalities (LMIs). Then a robustH∞state feedback controller is designed such that the concerned system not only is internally stochastically stabilizable but also satisfies robustH∞performance. Moreover, the previous results of the nonlinearly perturbed discrete stochastic system are generalized to the system with state, control, and external distu

APA, Harvard, Vancouver, ISO, and other styles

3

Chen, Guici, and Yi Shen. "Robust ReliableH∞Control for Nonlinear Stochastic Markovian Jump Systems." Mathematical Problems in Engineering 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/431576.

Full text

Abstract:

The robust reliableH∞control problem for a class of nonlinear stochastic Markovian jump systems (NSMJSs) is investigated. The system under consideration includes Itô-type stochastic disturbance, Markovian jumps, as well as sector-bounded nonlinearities and norm-bounded stochastic nonlinearities. Our aim is to design a controller such that, for possible actuator failures, the closed-loop stochastic Markovian jump system is exponential mean-square stable with convergence rateαand disturbance attenuationγ. Based on the Lyapunov stability theory and Itô differential rule, together with LMIs techni

APA, Harvard, Vancouver, ISO, and other styles

4

Benavoli, A., and L. Chisci. "Robust stochastic control based on imprecise probabilities*." IFAC Proceedings Volumes 44, no. 1 (2011): 4606–13. http://dx.doi.org/10.3182/20110828-6-it-1002.02081.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Glasserman, Paul, and Xingbo Xu. "Robust Portfolio Control with Stochastic Factor Dynamics." Operations Research 61, no. 4 (2013): 874–93. http://dx.doi.org/10.1287/opre.2013.1180.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Hassan, Ali, Robert Mieth, Deepjyoti Deka, and Yury Dvorkin. "Stochastic and Distributionally Robust Load Ensemble Control." IEEE Transactions on Power Systems 35, no. 6 (2020): 4678–88. http://dx.doi.org/10.1109/tpwrs.2020.2992268.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Martínez-Frutos, J., R. Ortigosa, P. Pedregal, and F. Periago. "Robust optimal control of stochastic hyperelastic materials." Applied Mathematical Modelling 88 (December 2020): 888–904. http://dx.doi.org/10.1016/j.apm.2020.07.012.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Steinbach, Marc C. "Robust Process Control by Dynamic Stochastic Programming." PAMM 4, no. 1 (2004): 11–14. http://dx.doi.org/10.1002/pamm.200410003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Violino, Elia, and Kouamana Bousson. "Robust predictive attitude control with stochastic dynamics." Journal of Applied Mathematics and Computational Mechanics 21, no. 4 (2022): 86–97. http://dx.doi.org/10.17512/jamcm.2022.4.08.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Wang, Cheng, and Cong Jun Rao. "Study on Stability and Robust Control of Stochastic Network Control System." Applied Mechanics and Materials 602-605 (August 2014): 1023–26. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1023.

Full text

Abstract:

Network control system is a feedback control system of realizing the exchange of information control system in different regional components by using the digital communication. Focusing on the stability and robust control of stochastic network control system, this paper introduces the research history and the newest research trends, and presents many widespread theoretical and applications problems. Moreover, assumptions, main ideas, and conclusions of literature related to stochastic network control system are reviewed and commented.

APA, Harvard, Vancouver, ISO, and other styles

11

Wang, Cheng. "Robust Control and Stability Analysis for Stochastic Systems with Markov Jump." Applied Mechanics and Materials 631-632 (September 2014): 684–87. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.684.

Full text

Abstract:

Stochastic systems with Markov jump is a new type of stochastic system in recent years, which is a new field integrated by information, control and Markov process. This paper introduces the research history and the newest research trends of stochastic systems with Markov jump, and presents many widespread theoretical and application problems. Moreover, some new research topics and directions related to stochastic systems with Markov jump are proposed.

APA, Harvard, Vancouver, ISO, and other styles

12

Zhang, Yingqi, Wei Cheng, Xiaowu Mu та Caixia Liu. "Stochasticℋ∞Finite-Time Control of Discrete-Time Systems with Packet Loss". Mathematical Problems in Engineering 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/897481.

Full text

Abstract:

This paper investigates the stochastic finite-time stabilization andℋ∞control problem for one family of linear discrete-time systems over networks with packet loss, parametric uncertainties, and time-varying norm-bounded disturbance. Firstly, the dynamic model description studied is given, which, if the packet dropout is assumed to be a discrete-time homogenous Markov process, the class of discrete-time linear systems with packet loss can be regarded as Markovian jump systems. Based on Lyapunov function approach, sufficient conditions are established for the resulting closed-loop discrete-time

APA, Harvard, Vancouver, ISO, and other styles

13

Sihotang, Hengki Tamando, Syahril Efendi, Muhammad Zarlis, and Herman Mawengkang. "Data driven approach for stochastic data envelopment analysis." Bulletin of Electrical Engineering and Informatics 11, no. 3 (2022): 1497–504. http://dx.doi.org/10.11591/eei.v11i3.3660.

Full text

Abstract:

Decision making based on data driven deals with a large amount of data will evaluate the process's effectiveness. Evaluate effectiveness in this paper is measure of performance efficiency of data envelopment analysis (DEA) method in this study is the approach with uncertainty problems. This study proposed a new method called the robust stochastic DEA (RSDEA) to approach performance efficiency in tackling uncertainty problems (i.e., stochastic and robust optimization). The RSDEA method develops to combine the stochastics DEA (SDEA) formulation method and Robust Optimization. The numerical examp

APA, Harvard, Vancouver, ISO, and other styles

14

Poznyak, Alex S. "Robust stochastic maximum principle: Complete proof and discussions." Mathematical Problems in Engineering 8, no. 4-5 (2002): 389–411. http://dx.doi.org/10.1080/10241230306722.

Full text

Abstract:

This paper develops a version of Robust Stochastic Maximum Principle (RSMP) applied to the Minimax Mayer Problem formulated for stochastic differential equations with the control-dependent diffusion term. The parametric families of first and second order adjoint stochastic processes are introduced to construct the corresponding Hamiltonian formalism. The Hamiltonian function used for the construction of the robust optimal control is shown to be equal to the Lebesque integral over a parametric set of the standard stochastic Hamiltonians corresponding to a fixed value of the uncertain parameter.

APA, Harvard, Vancouver, ISO, and other styles

15

Gang, Ting-Ting, Jun Yang, Qing Gao, Yu Zhao, and Jianbin Qiu. "A Fuzzy Approach to Robust Control of Stochastic Nonaffine Nonlinear Systems." Mathematical Problems in Engineering 2012 (2012): 1–17. http://dx.doi.org/10.1155/2012/439805.

Full text

Abstract:

This paper investigates the stabilization problem for a class of discrete-time stochastic non-affine nonlinear systems based on T-S fuzzy models. Based on the function approximation capability of a class of stochastic T-S fuzzy models, it is shown that the stabilization problem of a stochastic non-affine nonlinear system can be solved as a robust stabilization problem of the stochastic T-S fuzzy system with the approximation errors as the uncertainty term. By using a class of piecewise dynamic feedback fuzzy controllers and piecewise quadratic Lyapunov functions, robust semiglobal stabilizatio

APA, Harvard, Vancouver, ISO, and other styles

16

Schacher, Michael. "Optimal control of robots under stochastic uncertainty: robust feedback control." PAMM 7, no. 1 (2007): 1061801–2. http://dx.doi.org/10.1002/pamm.200700037.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Li, Jian-ning, Ya-Jun Pan, Trent Hilliard, and Hongye Su. "Robust Stochastic Control for Networked Bilateral Teleoperation Systems." IFAC Proceedings Volumes 46, no. 20 (2013): 112–17. http://dx.doi.org/10.3182/20130902-3-cn-3020.00028.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Xu, Yunjun. "Nonlinear Robust Stochastic Control for Unmanned Aerial Vehicles." Journal of Guidance, Control, and Dynamics 32, no. 4 (2009): 1308–19. http://dx.doi.org/10.2514/1.40753.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

TSUKAMOTO, Taro. "Stochastic Robust Control Design Using Density-Ratio Estimation." AEROSPACE TECHNOLOGY JAPAN, THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 13 (2014): 51–54. http://dx.doi.org/10.2322/astj.13.51.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Kolansky, Jeremy, Amandeep Singh, and Jill Goryca. "Robust Semi-Active Ride Control under Stochastic Excitation." SAE International Journal of Passenger Cars - Mechanical Systems 7, no. 1 (2014): 96–104. http://dx.doi.org/10.4271/2014-01-0145.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

TSUKAMOTO, Taro. "Stochastic Robust Control Design Using Density Ratio Estimation." TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, AEROSPACE TECHNOLOGY JAPAN 13 (2015): 11–15. http://dx.doi.org/10.2322/tastj.13.11.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Abedi, F., and W. J. Leong. "Dynamic robust stabilization of stochastic differential control systems." IMA Journal of Mathematical Control and Information 30, no. 4 (2013): 559–69. http://dx.doi.org/10.1093/imamci/dns040.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Han-Fu, Chen, and Lei Guo. "Robust Identification and Adaptive Control for Stochastic Systems." IFAC Proceedings Volumes 21, no. 9 (1988): 815–19. http://dx.doi.org/10.1016/s1474-6670(17)54829-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Bayer, Florian A., Matthias Lorenzen, Matthias A. Müller, and Frank Allgöwer. "Robust economic Model Predictive Control using stochastic information." Automatica 74 (December 2016): 151–61. http://dx.doi.org/10.1016/j.automatica.2016.08.008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Allan, Andrew L., and Samuel N. Cohen. "Pathwise stochastic control with applications to robust filtering." Annals of Applied Probability 30, no. 5 (2020): 2274–310. http://dx.doi.org/10.1214/19-aap1558.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Rustem, Berç. "Stochastic and robust control of nonlinear economic systems." European Journal of Operational Research 73, no. 2 (1994): 304–18. http://dx.doi.org/10.1016/0377-2217(94)90267-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Boukas, E. K., P. Shi, and A. Andijani. "Robust inventory-production control problem with stochastic demand." Optimal Control Applications and Methods 20, no. 1 (1999): 1–20. http://dx.doi.org/10.1002/(sici)1099-1514(199901/02)20:1<1::aid-oca642>3.0.co;2-l.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Aurnhammer, A., and K. Marti. "Robust Control of Robots by Stochastic Optimisation Techniques." PAMM 1, no. 1 (2002): 454. http://dx.doi.org/10.1002/1617-7061(200203)1:1<454::aid-pamm454>3.0.co;2-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Gao, Huijun, Junli Wu, and Peng Shi. "Robust sampled-data H∞ control with stochastic sampling." Automatica 45, no. 7 (2009): 1729–36. http://dx.doi.org/10.1016/j.automatica.2009.03.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Marti, Kurt, and Andreas Aurnhammer. "Robust Feedback Control of Robots using Stochastic Optimization." PAMM 3, no. 1 (2003): 497–98. http://dx.doi.org/10.1002/pamm.200310518.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Nagy, Endre. "Nonlinear Robust Stochastic Inverse Model Based Optimum Control." International Journal of Scientific and Innovative Mathematical Research 11, no. 2 (2023): 17–31. http://dx.doi.org/10.20431/2347-3142.1102002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Wang, Cheng. "Robust stochastic stabilization andH∞control of uncertain stochastic interval time-delay systems." IMA Journal of Mathematical Control and Information 33, no. 2 (2014): 401–25. http://dx.doi.org/10.1093/imamci/dnu047.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Zhang, Linlin, and Xingzhen Bai. "Robust Control for Stochastic Nonlinear Delay Systems with Jumps." Mathematical Problems in Engineering 2023 (May 27, 2023): 1–13. http://dx.doi.org/10.1155/2023/5748824.

Full text

Abstract:

The problem of infinite horizon H∞ control for general delayed nonlinear stochastic Markov jump systems with the infinite jumping parameters is considered in this paper, in which the noise is dependent on the state, control, and external disturbance. The coupled Hamilton–Jacobi inequalities (HJIs)-based sufficient condition is given to ensure the existence of the H∞ controller. As a corollary, infinite horizon H∞ controllers are designed for nonlinear stochastic time-delay systems without jumps by solving a series of coupled HJIs. Besides, the effectiveness of the proposed method is verified b

APA, Harvard, Vancouver, ISO, and other styles

34

Ku, Cheung-Chieh, and Guan-Wei Chen. "H∞Gain-Scheduled Control for LPV Stochastic Systems." Mathematical Problems in Engineering 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/854957.

Full text

Abstract:

A robust control problem for discrete-time uncertain stochastic systems is discussed via gain-scheduled control scheme subject toH∞attenuation performance. Applying Linear Parameter Varying (LPV) modeling approach and stochastic difference equation, the uncertain stochastic systems can be described by combining time-varying weighting function and linear systems with multiplicative noise terms. Due to the consideration of stochastic behavior, the stability in the sense of mean square is applied for the system. Furthermore, two kinds of Lyapunov functions are employed to derive their correspondi

APA, Harvard, Vancouver, ISO, and other styles

35

Dai, Xisheng, Feiqi Deng, and Jianxiang Zhang. "RobustH∞Control for Linear Stochastic Partial Differential Systems with Time Delay." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/489408.

Full text

Abstract:

This paper investigates the problems of robust stochastic mean square exponential stabilization and robustH∞for stochastic partial differential time delay systems. Sufficient conditions for the existence of state feedback controllers are proposed, which ensure mean square exponential stability of the resulting closed-loop system and reduce the effect of the disturbance input on the controlled output to a prescribed level ofH∞performance. A linear matrix inequality approach is employed to design the desired state feedback controllers. An illustrative example is provided to show the usefulness o

APA, Harvard, Vancouver, ISO, and other styles

36

Yang, Hong, Yu Zhang, and Le Zhang. "Novel Robust Control of Stochastic Nonlinear Switched Fuzzy Systems." Mathematical Problems in Engineering 2021 (September 6, 2021): 1–10. http://dx.doi.org/10.1155/2021/9743351.

Full text

Abstract:

This paper addresses the problem of designing novel switching control for a class of stochastic nonlinear switched fuzzy systems with time delay. Firstly, a stochastic nonlinear switched fuzzy system can precisely describe continuous and discrete dynamics as well as their interactions in the complex real-world systems. Next, novel control algorithm and switching law design of the state-dependent form are developed such that the stability is guaranteed. Since convex combination techniques are used to derive the delay independent criteria, some subsystems are allowed to be unstable. Finally, var

APA, Harvard, Vancouver, ISO, and other styles

37

Mark, Christoph, and Steven Liu. "Stochastic MPC with Distributionally Robust Chance Constraints." IFAC-PapersOnLine 53, no. 2 (2020): 7136–41. http://dx.doi.org/10.1016/j.ifacol.2020.12.521.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Mayne, David Q. "Competing methods for robust and stochastic MPC." IFAC-PapersOnLine 51, no. 20 (2018): 169–74. http://dx.doi.org/10.1016/j.ifacol.2018.11.010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Yang, Jun, Jian Wang, Xuesheng Zhou, and Yanxiao Li. "Stochastic Air-Fuel Ratio Control of Compressed Natural Gas Engines Using State Observer." Mathematical Problems in Engineering 2020 (March 12, 2020): 1–8. http://dx.doi.org/10.1155/2020/2028398.

Full text

Abstract:

In this paper, the air-fuel ratio regulation problem of compressed natural gas (CNG) engines considering stochastic L2 disturbance attenuation is researched. A state observer is designed to overcome the unmeasurability of the total air mass and total fuel mass in the cylinder, since the residual air and residual fuel that are included in the residual gas are unmeasured and the residual gas reflects stochasticity. With the proposed state observer, a stochastic robust air-fuel ratio regulator is proposed by using a CNG engine dynamic model to attenuate the uncertain cyclic fluctuation of the fre

APA, Harvard, Vancouver, ISO, and other styles

40

Li, Minghao, Wuneng Zhou, Huijiao Wang, Yun Chen, Renquan Lu, and Hongqian Lu. "Delay-Dependent Robust H∞ Control for Uncertain Stochastic Systems." IFAC Proceedings Volumes 41, no. 2 (2008): 6004–9. http://dx.doi.org/10.3182/20080706-5-kr-1001.01013.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Xu, Lijuan, Tianping Zhang, and Yang Yi. "Robust dissipative control for time-delay stochastic jump systems." Journal of Systems Engineering and Electronics 22, no. 2 (2011): 314–21. http://dx.doi.org/10.3969/j.issn.1004-4132.2011.02.019.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Zasadzinski, M., S. Halabi, H. Rafaralahy, H. Souley Ali, and M. Darouach. "STOCHASTIC ROBUST REDUCED ORDER H-INFINITY OBSERVER-BASED CONTROL." IFAC Proceedings Volumes 38, no. 1 (2005): 435–40. http://dx.doi.org/10.3182/20050703-6-cz-1902.01017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

TSUKAMOTO, Taro. "Probability Inference Approach for Stochastic Robust Flight Control Design." TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, AEROSPACE TECHNOLOGY JAPAN 17, no. 2 (2019): 197–202. http://dx.doi.org/10.2322/tastj.17.197.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Och, Alexander, and Prof Andreas Ulbig. "Stochastic Model Predictive Control for Robust Grid Frequency Regulation." IFAC-PapersOnLine 58, no. 13 (2024): 726–32. http://dx.doi.org/10.1016/j.ifacol.2024.07.568.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Poznyak, A. S., T. E. Duncan, B. Pasik-Duncan, and V. G. Boltyansky. "Robust optimal control for minimax stochastic linear quadratic problem." International Journal of Control 75, no. 14 (2002): 1054–65. http://dx.doi.org/10.1080/00207170210156242.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Li, Rong, Qingxian Wu, and Mou Chen. "Robust Adaptive Control for Unmanned Helicopter with Stochastic Disturbance." Procedia Computer Science 105 (2017): 209–14. http://dx.doi.org/10.1016/j.procs.2017.01.212.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Marti, K. "Stochastic Optimization Methods in Robust Adaptive Control of Robots." IFAC Proceedings Volumes 36, no. 11 (2003): 183–86. http://dx.doi.org/10.1016/s1474-6670(17)35660-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Wang, Jiang, Hanqiao Gao, and Huiyan Li. "Adaptive robust control of nonholonomic systems with stochastic disturbances." Science in China Series F: Information Sciences 49, no. 2 (2006): 189–207. http://dx.doi.org/10.1007/s11432-006-0189-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Lei, Guo. "Robust Stochastic Adaptive Control for Non-minimum Phase Systems." IFAC Proceedings Volumes 21, no. 10 (1988): 201–5. http://dx.doi.org/10.1016/b978-0-08-036620-3.50039-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Ji Feng Zhang and Le Yi Wang. "Performance lower bounds in stochastic robust and adaptive control." IEEE Transactions on Automatic Control 46, no. 7 (2001): 1137–41. http://dx.doi.org/10.1109/9.935071.

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!