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Journal articles on the topic 'Linear parameter varying'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Szabó, Z., and J. Bokor. "Transformations for linear parameter varying systems." IFAC-PapersOnLine 51, no. 26 (2018): 87–93. http://dx.doi.org/10.1016/j.ifacol.2018.11.163.

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2

Bamieh, Bassam, and Laura Giarré. "Identification of linear parameter varying models." International Journal of Robust and Nonlinear Control 12, no. 9 (2002): 841–53. http://dx.doi.org/10.1002/rnc.706.

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3

Wirth, Fabian. "Stability of Linear Parameter Varying and Linear Switching Systems." PAMM 3, no. 1 (2003): 144–47. http://dx.doi.org/10.1002/pamm.200310348.

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4

Grenaille, Sylvain, David Henry, and All Zolghadri. "FAULT DIAGNOSIS IN LINEAR PARAMETER VARYING SYSTEMS." IFAC Proceedings Volumes 39, no. 9 (2006): 107–12. http://dx.doi.org/10.3182/20060705-3-fr-2907.00020.

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5

Cláudio Andrade Souza, Luiz, and Reinaldo Martinez Palhares. "Parameter estimation on linear time-varying systems." Journal of the Franklin Institute 348, no. 4 (2011): 777–89. http://dx.doi.org/10.1016/j.jfranklin.2011.02.007.

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6

Alkhoury, Ziad, Mihály Petreczky, and Guillaume Mercère. "Identifiability of affine linear parameter-varying models." Automatica 80 (June 2017): 62–74. http://dx.doi.org/10.1016/j.automatica.2017.01.029.

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7

Szabó, Z., T. Péni, and J. Bokor. "Annihilator design for linear parameter varying systems." IFAC-PapersOnLine 51, no. 24 (2018): 1185–92. http://dx.doi.org/10.1016/j.ifacol.2018.09.701.

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8

Edwards, Christopher, Andres Marcos, and Gary Balas. "Special issue on linear parameter varying systems." International Journal of Robust and Nonlinear Control 24, no. 14 (2014): 1925–26. http://dx.doi.org/10.1002/rnc.3228.

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9

Brizuela-Mendoza, Jorge A., Juan Carlos Mixteco-Sánchez, Maria A. López-Osorio, et al. "On the State-Feedback Controller Design for Polynomial Linear Parameter-Varying Systems with Pole Placement within Linear Matrix Inequality Regions." Mathematics 11, no. 22 (2023): 4696. http://dx.doi.org/10.3390/math11224696.

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The present paper addresses linear parameter-varying systems with high-order time-varying parameter dependency known as polynomial LPV systems and their controller design. Throughout this work, a procedure ensuring a state-feedback controller from a parameterized linear matrix inequality (PLMI) solution is presented. As the main contribution of this paper, the controller is designed by considering the time-varying parameter rate as a tuning parameter with a continuous control gain in such a way that the closed-loop eigenvalues lie in a complex plane subset, with high-order time-varying paramet

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10

Szabó, Ádám, Tamás Bécsi, Szilárd Aradi, and Péter Gáspár. "LPV-Based Controller Design of a Floating Piston Pneumatic Actuator." Actuators 9, no. 4 (2020): 98. http://dx.doi.org/10.3390/act9040098.

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The paper presents the modeling and control design of a floating piston pneumatic gearbox actuator using a grid-based Linear Parameter Varying approach. First, the nonlinear model of the pneumatic actuator is presented, then it is transformed into a 6th order Linear Parameter Varying representation with endogenous scheduling parameters. The model is simplified based on empirical considerations to solve the controller synthesis and allow fast controller tuning. The developed Linear Parameter Varying controller is tested in simulations. Moreover, using a balanced truncation-model order reduction

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11

Bouazizi, Mohamed Hechmi. "An observer-based H∞ linear parameter varying controller for time delayed linear parameter varying systems using dilated linear matrix inequalities and Wirtinger inequality." Transactions of the Institute of Measurement and Control 43, no. 9 (2021): 1915–23. http://dx.doi.org/10.1177/0142331220983629.

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In this study, we give a method for the design of linear parameter varying (LPV) observers in order to perform an LPV time delayed state feedback control for LPV systems with time varying delay. We derive some tractable analysis and synthesis conditions expressed in terms of linear matrix inequalities (LMIs). We show how it is possible to reduce significantly the conservatism of the quadratic approach by using parameter dependent Lyapunov-Krasovskii functional and LMI dilation techniques jointed to the Wirtinger integral inequality. We also present a method that makes it possible to do without

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12

Chin, Robert, Alejandro I. Maass, Nalika Ulapane, et al. "Active Learning for Linear Parameter-Varying System Identification." IFAC-PapersOnLine 53, no. 2 (2020): 989–94. http://dx.doi.org/10.1016/j.ifacol.2020.12.1274.

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13

Marcos, Andrés, and Gary J. Balas. "Development of Linear-Parameter-Varying Models for Aircraft." Journal of Guidance, Control, and Dynamics 27, no. 2 (2004): 218–28. http://dx.doi.org/10.2514/1.9165.

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14

Toth, Roland, Jan C. Willems, Peter S. C. Heuberger, and Paul M. J. Van den Hof. "The Behavioral Approach to Linear Parameter-Varying Systems." IEEE Transactions on Automatic Control 56, no. 11 (2011): 2499–514. http://dx.doi.org/10.1109/tac.2011.2109439.

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15

Fujimori, A., and L. Ljung. "Model Identification of Linear Parameter Varying Aircraft Systems." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 220, no. 4 (2006): 337–46. http://dx.doi.org/10.1243/09544100jaero28.

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16

Tóth, R., P. M. J. Van den Hof, and P. S. C. Heuberger. "Discretisation of linear parameter-varying state-space representations." IET Control Theory & Applications 4, no. 10 (2010): 2082–96. http://dx.doi.org/10.1049/iet-cta.2009.0572.

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17

Verdult, Vincent, and Michel Verhaegen. "Subspace identification of multivariable linear parameter-varying systems." Automatica 38, no. 5 (2002): 805–14. http://dx.doi.org/10.1016/s0005-1098(01)00268-0.

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18

Shamma, Jeff S., and Dapeng Xiong. "Set-valued methods for linear parameter varying systems." Automatica 35, no. 6 (1999): 1081–89. http://dx.doi.org/10.1016/s0005-1098(99)00010-2.

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19

Schoukens, Maarten, and Roland Tóth. "Frequency Response Functions of Linear Parameter-Varying Systems." IFAC-PapersOnLine 52, no. 28 (2019): 32–37. http://dx.doi.org/10.1016/j.ifacol.2019.12.344.

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20

Vanek, Bálint, Gary J. Balas, and Roger E. A. Arndt. "Linear, parameter-varying control of a supercavitating vehicle." Control Engineering Practice 18, no. 9 (2010): 1003–12. http://dx.doi.org/10.1016/j.conengprac.2010.04.006.

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21

Cox, Pepijn Bastiaan, and Roland Tóth. "Linear parameter-varying subspace identification: A unified framework." Automatica 123 (January 2021): 109296. http://dx.doi.org/10.1016/j.automatica.2020.109296.

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22

Hoffmann, Christian, and Herbert Werner. "Linear Parameter-Varying Control of Complex Mechanical Systems." IFAC Proceedings Volumes 47, no. 3 (2014): 6147–52. http://dx.doi.org/10.3182/20140824-6-za-1003.00118.

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23

Gaspar, P., I. Szaszi, and J. Bokor. "Active suspension design using linear parameter varying control." International Journal of Vehicle Autonomous Systems 1, no. 2 (2003): 206. http://dx.doi.org/10.1504/ijvas.2003.003539.

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24

Ramezanifar, Amin, Javad Mohammadpour, and Karolos M. Grigoriadis. "Sampled-data filtering for linear parameter varying systems." International Journal of Systems Science 46, no. 3 (2013): 474–87. http://dx.doi.org/10.1080/00207721.2013.786156.

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25

Luspay, Tamás, Balázs Kulcsar, Jan-Willem van Wingerden, Michel Verhaegen, and József Bokor. "Linear Parameter Varying Identification of Freeway Traffic Models." IEEE Transactions on Control Systems Technology 19, no. 1 (2011): 31–45. http://dx.doi.org/10.1109/tcst.2010.2063705.

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26

Guo, Di, and Wilson J. Rugh. "A stability result for linear parameter-varying systems." Systems & Control Letters 24, no. 1 (1995): 1–5. http://dx.doi.org/10.1016/0167-6911(94)00013-l.

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27

Abbas, Hossam S., Sandy Rahme, Nader Meskin, Christian Hoffmann, Roland Tóth, and Javad Mohammadpour. "Linear Parameter-Varying Control of a Copolymerization Reactor." IFAC-PapersOnLine 48, no. 26 (2015): 200–206. http://dx.doi.org/10.1016/j.ifacol.2015.11.137.

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28

Blanchini, Franco, Daniele Casagrande, Stefano Miani, and Umberto Viaro. "Robust linear parameter-varying control of induction motors." International Journal of Robust and Nonlinear Control 25, no. 12 (2014): 1783–800. http://dx.doi.org/10.1002/rnc.3174.

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29

Malloy, David, and B. C. Chang. "Stabilizing Controller Design for Linear Parameter-Varying Systems Using Parameter Feedback." Journal of Guidance, Control, and Dynamics 21, no. 6 (1998): 891–98. http://dx.doi.org/10.2514/2.4322.

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30

Altun, Yusuf, and Kayhan Gulez. "Linear parameter varying feedforward control synthesis using parameter-dependent Lyapunov function." Nonlinear Dynamics 78, no. 4 (2014): 2293–307. http://dx.doi.org/10.1007/s11071-014-1544-5.

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31

Muhammad, Kamran Shereen, Iftikhar Khan Muhammad, Khan Naeem, and Ullah Wasi. "By the Design and Implementation of Modified Kalman Filter for LPV Systems." International Journal of Engineering Works (ISSN:2409-2770) 3, no. 4 (2016): 26–31. https://doi.org/10.5281/zenodo.59756.

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Linear Parameter Varying (LPV) system is an important class of system, as it covers many physical systems. In this paper, the routine Kalman filtering scheme derivations are entertained to modify for generalized LPV systems. The original system is unstable, for controlling purpose a state-feedback controller is employed. For simulation purpose, a real time case study of Boeing-747 model is adopted. The results comprehend attractive features for modified Kalman filtering scheme.

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32

Bakka, Tore, та Hamid Reza Karimi. "Robustℋ∞Dynamic Output Feedback Control Synthesis with Pole Placement Constraints for Offshore Wind Turbine Systems". Mathematical Problems in Engineering 2012 (2012): 1–18. http://dx.doi.org/10.1155/2012/616507.

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The problem of robustℋ∞dynamic output feedback control design with pole placement constraints is studied for a linear parameter-varying model of a floating wind turbine. A nonlinear model is obtained and linearized using the FAST software developed for wind turbines. The main contributions of this paper are threefold. Firstly, a family of linear models are represented based on an affine parameter-varying model structure for a wind turbine system. Secondly, the bounded parameter-varying parameters are removed using upper bounded inequalities in the control design process. Thirdly, the control p

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33

Han, Seungyong, and Sangmoon Lee. "Sampled‐parameter dependent stabilization for linear parameter varying systems with asynchronous parameter sampling." International Journal of Robust and Nonlinear Control 31, no. 8 (2021): 3279–309. http://dx.doi.org/10.1002/rnc.5454.

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34

Wang, Jianhong, Yunfeng Zhang, Ricardo A. Ramirez-Mendoza, et al. "Subspace Data-Driven Control for Linear Parameter Varying Systems." International Journal of Service Science, Management, Engineering, and Technology 14, no. 1 (2023): 1–25. http://dx.doi.org/10.4018/ijssmet.321198.

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In this research, a unique subspace data driven control for linear parameter changing system with scheduling parameters is presented. This control paves the way for investigating the nonlinear system based on the results regarding the linear system that are already known. Only the data matrix is utilized to represent the output prediction value in the future various time instants, while the input-output observation data matrix is used to identify Markov parameters in the form of state space forms. The cost function in data-driven control is then adjusted using the output prediction value. The

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35

Wirth, Fabian. "THE GELFAND FORMULA FOR LINEAR PARAMETER-VARYING AND LINEAR SWITCHING SYSTEMS." IFAC Proceedings Volumes 38, no. 1 (2005): 495–500. http://dx.doi.org/10.3182/20050703-6-cz-1902.00653.

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36

Huang, Yiqing, Shouchen Shao, Kai Peng, and Ming Jiang. "Observer-based linear parameter varying H∞ tracking control for hypersonic vehicles." International Journal of Advanced Robotic Systems 13, no. 6 (2016): 172988141667111. http://dx.doi.org/10.1177/1729881416671116.

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This article aims to develop observer-based linear parameter varying output feedback H∞ tracking controller for hypersonic vehicles. Due to the complexity of an original nonlinear model of the hypersonic vehicle dynamics, a slow–fast loop linear parameter varying polytopic model is introduced for system stability analysis and controller design. Then, a state observer is developed by linear parameter varying technique in order to estimate the unmeasured attitude angular for slow loop system. Also, based on the designed linear parameter varying state observer, a kind of attitude tracking control

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37

Tan, K., K. M. Grigoriadis, and F. Wu. "H∞ and L2 - to - L∞ gain control of linear parameter-varying systems with parameter-varying delays." IEE Proceedings - Control Theory and Applications 150, no. 5 (2003): 509–17. http://dx.doi.org/10.1049/ip-cta:20030708.

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38

Téczely, Zoltán, and Bálint Kiss. "Switching linear parameter varying control for a robotic manipulator." Acta IMEKO 14, no. 2 (2025): 1–8. https://doi.org/10.21014/actaimeko.v14i2.1741.

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This paper introduces a synthesis study of a switching Linear Parameter Varying (LPV) controller with multiple polytopic subregions, considering separate parameter-dependent Lyapunov functions. The parameter space setup is designed with overlapping subregions in which safe controller switching is ensured by hysteresis switching logic. Robotic manipulators, like any mechatronic systems, are burdened with unmodelled characteristics such as friction phenomena and actuator dynamics, as well as nonlinear dynamics. These effects might be countered by LPV controllers, although they may be too conserv

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39

Lee, Lawton H., and Kameshwar Poolla. "Identification of Linear Parameter-Varying Systems Using Nonlinear Programming." Journal of Dynamic Systems, Measurement, and Control 121, no. 1 (1999): 71–78. http://dx.doi.org/10.1115/1.2802444.

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This paper deals with the identification of a linear parameter-varying (LPV) system whose parameter dependence can be written as a linear-fractional transformation (LFT). We formulate an output-error identification problem and present a parameter estimation scheme in which a prediction error-based cost function is minimized using nonlinear programming; its gradients and (approximate) Hessians can be computed using LPV filters and inner products, and identifiable model sets (i.e., local canonical forms) are obtained efficiently using a natural geometrical approach. Some computational issues and

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40

Cetinkaya, Ahmet, and Tomohisa Hayakawa. "Sampled-Parameter Feedback Control of Discrete-time Linear Stochastic Parameter-Varying Systems." IFAC Proceedings Volumes 47, no. 3 (2014): 8146–51. http://dx.doi.org/10.3182/20140824-6-za-1003.02766.

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41

FUJIMORI, Atsushi, and Lennart LJUNG. "Parameter Estimation of Polytopic Models for a Linear Parameter Varying Aircraft System." TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 49, no. 165 (2006): 129–36. http://dx.doi.org/10.2322/tjsass.49.129.

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42

Stoica, A. M., and I. Yaesh. "STATIC OUTPUT FEEDBACK CONTROL OF LINEAR PARAMETER VARYING SYSTEMS." Annals of the Academy of Romanian Scientists Series on Mathematics and Its Application 15, no. 1-2 (2023): 427–42. http://dx.doi.org/10.56082/annalsarscimath.2023.1-2.427.

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The synthesis problem of static output feedback controllers within the anisotropic-norm setup for Linear Parameter Varying system is considered. A synthesis approach involving iterations over a convex optimisation problem is suggested, leading to a gain-scheduled con¬troller. The results are formulated by a couple of Linear Matrix In¬equalities and a coupling bilinear equality, using a parameter depen¬dent Lyapunov function. Following LPVTOOL, the problem which is continuous in the gain-scheduling parameter, and hence infinite dimen¬sional, is approximated by a finite grid leading to a tractab

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43

Hong, Boe-S., Asok Ray, and Vigor Yang. "Output Feedback Linear Parameter Varying (LPV) L2-gain Control." Journal of Dynamic Systems, Measurement, and Control 125, no. 3 (2003): 485–89. http://dx.doi.org/10.1115/1.1591805.

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This brief paper synthesizes an output feedback L2-gain Control law for linear parameter varying (LPV) systems. The control law is embedded with an observer that does not require on-line measurements of the scheduling parameter variation rate. Results of simulation experiments are presented to evaluate the control law on a simulation experiments on a two-degree-of-freedom mass-spring-damper system.

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44

Wirth, Fabian. "A Converse Lyapunov Theorem for Linear Parameter-Varying and Linear Switching Systems." SIAM Journal on Control and Optimization 44, no. 1 (2005): 210–39. http://dx.doi.org/10.1137/s0363012903434790.

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45

Whidborne, James F., and Philippe Chevrel. "Optimal Finite-precision Implementations of Linear Parameter Varying Controllers." IFAC Proceedings Volumes 41, no. 2 (2008): 15220–25. http://dx.doi.org/10.3182/20080706-5-kr-1001.02574.

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46

Facerias, Marc, Vicenç Puig, and Eugenio Alcala. "Zonotopic Linear Parameter Varying SLAM Applied to Autonomous Vehicles." Sensors 22, no. 10 (2022): 3672. http://dx.doi.org/10.3390/s22103672.

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This article presents an approach to address the problem of localisation within the autonomous driving framework. In particular, this work takes advantage of the properties of polytopic Linear Parameter Varying (LPV) systems and set-based methodologies applied to Kalman filters to precisely locate both a set of landmarks and the vehicle itself. Using these techniques, we present an alternative approach to localisation algorithms that relies on the use of zonotopes to provide a guaranteed estimation of the states of the vehicle and its surroundings, which does not depend on any assumption of th

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47

Silvestre, Daniel. "Set-valued estimators for Uncertain Linear Parameter-Varying systems." Systems & Control Letters 166 (August 2022): 105311. http://dx.doi.org/10.1016/j.sysconle.2022.105311.

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48

Verhoek, Chris, Hossam S. Abbas, Roland Tóth, and Sofie Haesaert. "Data-Driven Predictive Control for Linear Parameter-Varying Systems." IFAC-PapersOnLine 54, no. 8 (2021): 101–8. http://dx.doi.org/10.1016/j.ifacol.2021.08.588.

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49

Formentin, Simone, and Sergio M. Savaresi. "Virtual Reference Feedback Tuning for linear parameter-varying systems." IFAC Proceedings Volumes 44, no. 1 (2011): 10219–24. http://dx.doi.org/10.3182/20110828-6-it-1002.01184.

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50

Shin, Jong-Yeob, N. Eva Wu, and Christine Belcastro. "Adaptive Linear Parameter Varying Control Synthesis for Actuator Failure." Journal of Guidance, Control, and Dynamics 27, no. 5 (2004): 787–94. http://dx.doi.org/10.2514/1.9430.

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