Journal articles: 'LPV approach'

1

Fauchet, Floris, Jean-Marc Treluyer, Silvia M. Illamola, Claire Pressiat, Gabrielle Lui, Elodie Valade, Laurent Mandelbrot, et al. "Population Approach To Analyze the Pharmacokinetics of Free and Total Lopinavir in HIV-Infected Pregnant Women and Consequences for Dose Adjustment." Antimicrobial Agents and Chemotherapy 59, no. 9 (July 6, 2015): 5727–35. http://dx.doi.org/10.1128/aac.00863-15.

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ABSTRACTThe aims of this study were to describe the unbound and total lopinavir (LPV) pharmacokinetics in pregnant women in order to evaluate if a dosing adjustment is necessary during pregnancy. Lopinavir placental transfer is described, and several genetic covariates were tested to explain its variability. A total of 400 maternal, 79 cord blood, and 48 amniotic fluid samples were collected from 208 women for LPV concentration determinations and pharmacokinetics analysis. Among the maternal LPV concentrations, 79 samples were also used to measure the unbound LPV concentrations. Population pharmacokinetics models were developed by using NONMEM software. Two models were developed to describe (i) unbound and total LPV pharmacokinetics and (ii) LPV placental transfer. The pharmacokinetics was best described by a one-compartment model with first-order absorption and elimination. A pregnancy effect was found on maternal clearance (39% increase), whereas the treatment group (monotherapy versus triple therapy) or the genetic polymorphisms did not explain the pharmacokinetics or placental transfer of LPV. Efficient unbound LPV concentrations in nonpregnant women were similar to those measured during the third trimester of pregnancy. Our study showed a 39% increase of maternal total LPV clearance during pregnancy, whereas unbound LPV concentrations were similar to those simulated in nonpregnant women. The genetic polymorphisms selected did not influence the LPV pharmacokinetics or placental transfer. Thus, we suggest that the LPV dosage should not be increased during pregnancy.

2

Briat, C., O. Sename, and J. F. Lafay. "Design of LPV observers for LPV time-delay systems: an algebraic approach." International Journal of Control 84, no. 9 (September 2011): 1533–42. http://dx.doi.org/10.1080/00207179.2011.611950.

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Liu, Jizhen, Yang Hu, and Zhongwei Lin. "State-FeedbackH∞Control for LPV System Using T-S Fuzzy Linearization Approach." Mathematical Problems in Engineering 2013 (2013): 1–18. http://dx.doi.org/10.1155/2013/169454.

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This paper discusses the linear parameter varying (LPV) gain scheduling control problem based on the Takagi-Sugeno (T-S) fuzzy linearization approach. Firstly, the affine nonlinear parameter varying (ANPV) description of a class of nonlinear dynamic processes is defined; that is, at any scheduling parameter, the corresponding system is affine nonlinear as usual. For such a class of ANPV systems, a kind of developed T-S fuzzy modeling procedure is proposed to deal with the nonlinearity, instead of the traditional Jacobian linearization approach. More concretely, the evaluation system for the approximation ability of the novelly developed T-S fuzzy modeling procedure is established. Consequently, the LPV T-S fuzzy system is obtained which can approximate the ANPV system with required accuracy. Secondly, the notion of piecewise parameter-dependent Lyapunov function is introduced, and then the stabilization problem and the state-feedbackH∞control problem of the LPV T-S fuzzy system are studied. The sufficient conditions are given in linear matrix inequalities (LMIs) form. Finally, a numerical example is provided to demonstrate the availability of the above approaches. The simulation results show the high approximation accuracy of the LPV T-S fuzzy system to the ANPV system and the effectiveness of the LPV T-S fuzzy gain scheduling control.

4

Hooshmandi, Kaveh, Farhad Bayat, and Andrzej Bartoszewicz. "Sampled-Data Linear Parameter Variable Approach for Voltage Regulation of DC–DC Buck Converter." Electronics 11, no. 19 (October 6, 2022): 3208. http://dx.doi.org/10.3390/electronics11193208.

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This paper addresses the new method for output voltage regulation of DC–DC buck converter nonlinear systems by a sampled-data linear parameter varying (LPV) controller. For this purpose, an output-error state-space affine LPV model is presented for DC–DC buck converter nonlinear systems. The sampled-data structure of the controller is considered as a time delay in the input, and stabilization conditions are obtained for LPV systems with affine dependence on the parameter by using a parameter-dependent Lyapunov–Krasovskii functional. Then, the design condition of the sampled-data LPV controller with an appropriate sampling period is derived to guarantee that the output voltage of the DC–DC buck converter can be adjusted to the desired voltage. Finally, simulation results are provided to show the validity of the presented approach in practical control applications where there are limitations on the value of the sampling period and the cost of the digital implementation.

5

Sala, Antonio. "Stability analysis of LPV systems: Scenario approach." Automatica 104 (June 2019): 233–37. http://dx.doi.org/10.1016/j.automatica.2019.01.032.

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Lu, Qiugang, Hamid Reza Karimi, and Kjell Gunnar Robbersmyr. "A Data-Based Approach for Modeling and Analysis of Vehicle Collision by LPV-ARMAX Models." Journal of Applied Mathematics 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/452391.

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Vehicle crash test is considered to be the most direct and common approach to assess the vehicle crashworthiness. However, it suffers from the drawbacks of high experiment cost and huge time consumption. Therefore, the establishment of a mathematical model of vehicle crash which can simplify the analysis process is significantly attractive. In this paper, we present the application of LPV-ARMAX model to simulate the car-to-pole collision with different initial impact velocities. The parameters of the LPV-ARMAX are assumed to have dependence on the initial impact velocities. Instead of establishing a set of LTI models for vehicle crashes with various impact velocities, the LPV-ARMAX model is comparatively simple and applicable to predict the responses of new collision situations different from the ones used for identification. Finally, the comparison between the predicted response and the real test data is conducted, which shows the high fidelity of the LPV-ARMAX model.

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Tanaudommongkon, Irin, Asama Tanaudommongkon, and Xiaowei Dong. "Development of In Situ Self-Assembly Nanoparticles to Encapsulate Lopinavir and Ritonavir for Long-Acting Subcutaneous Injection." Pharmaceutics 13, no. 6 (June 18, 2021): 904. http://dx.doi.org/10.3390/pharmaceutics13060904.

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Most antiretroviral medications for human immunodeficiency virus treatment and prevention require high levels of patient adherence, such that medications need to be administered daily without missing doses. Here, a long-acting subcutaneous injection of lopinavir (LPV) in combination with ritonavir (RTV) using in situ self-assembly nanoparticles (ISNPs) was developed to potentially overcome adherence barriers. The ISNP approach can improve the pharmacokinetic profiles of the drugs. The ISNPs were characterized in terms of particle size, drug entrapment efficiency, drug loading, in vitro release study, and in vivo pharmacokinetic study. LPV/RTV ISNPs were 167.8 nm in size, with a polydispersity index of less than 0.35. The entrapment efficiency was over 98% for both LPV and RTV, with drug loadings of 25% LPV and 6.3% RTV. A slow release rate of LPV was observed at about 20% on day 5, followed by a sustained release beyond 14 days. RTV released faster than LPV in the first 5 days and slower than LPV thereafter. LPV trough concentration remained above 160 ng/mL and RTV trough concentration was above 50 ng/mL after 6 days with one subcutaneous injection. Overall, the ISNP-based LPV/RTV injection showed sustained release profiles in both in vitro and in vivo studies.

8

Sanjuan, Adrián, Damiano Rotondo, Fatiha Nejjari, and Ramon Sarrate. "An Lmi–Based Heuristic Algorithm for Vertex Reduction in LPV Systems." International Journal of Applied Mathematics and Computer Science 29, no. 4 (December 1, 2019): 725–37. http://dx.doi.org/10.2478/amcs-2019-0054.

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Abstract The linear parameter varying (LPV) approach has proved to be suitable for controlling many non-linear systems. However, for those which are highly non-linear and complex, the number of scheduling variables increases rapidly. This fact makes the LPV controller implementation not feasible for many real systems due to memory constraints and computational burden. This paper considers the problem of reducing the total number of LPV controller gains by determining a heuristic methodology that combines two vertices of a polytopic LPV model such that the same gain can be used in both vertices. The proposed algorithm, based on the use of the Gershgorin circles, provides a combinability ranking for the different vertex pairs, which helps in solving the reduction problem in fewer attempts. Simulation examples are provided in order to illustrate the main characteristics of the proposed approach.

9

Grzegorzewski, Marek, and Karol Krzysztof Śliwak. "The GNSS System Application in the LPV-200 Landing Approach Procedure. Part I : Approach to Practical Verification." Annual of Navigation 23, no. 1 (December 1, 2016): 251–58. http://dx.doi.org/10.1515/aon-2016-0018.

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Abstract Current RNAV GNSS approach procedures are widely used in Europe and worldwide. The development of the GNSS systems as well as the study and control of satellite signals result in the increasing number of approach types with increasingly higher demands and lower operating minimums. LPV-200 is the precision approach with the most stringent requirements, and operational minimums of up to 200ft. For the purposes of Part I of this paper static measurements were performed in order to compare the signal characteristics with ICAO requirements. On the basis of the measurements′ results, it can be assumed that, within the analyzed period of time, the GNSS signal at the airport in Dęblin only partially met the requirements set for LPV-200 approaches. The data collected were processed and analyzed using Matlab environment.

10

Tran, Gia Quoc Bao, Thanh-Phong Pham, Olivier Sename, Eduarda Costa, and Peter Gaspar. "Integrated Comfort-Adaptive Cruise and Semi-Active Suspension Control for an Autonomous Vehicle: An LPV Approach." Electronics 10, no. 7 (March 30, 2021): 813. http://dx.doi.org/10.3390/electronics10070813.

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This paper presents an integrated linear parameter-varying (LPV) control approach of an autonomous vehicle with an objective to guarantee driving comfort, consisting of cruise and semi-active suspension control. First, the vehicle longitudinal and vertical dynamics (equipped with a semi-active suspension system) are presented and written into LPV state-space representations. The reference speed is calculated online from the estimated road type and the desired comfort level (characterized by the frequency weighted vertical acceleration defined in the ISO 2631 norm) using precomputed polynomial functions. Then, concerning cruise control, an LPV H2 controller using a linear matrix inequality (LMI) based polytopic approach combined with the compensation of the estimated disturbance forces is developed to track the comfort-oriented reference speed. To further enhance passengers’ comfort, a decentralized LPV H2 controller for the semi-active suspension system is proposed, minimizing the effect of the road profile variations. The interaction with cruise control is achieved by the vehicle’s actual speed being a scheduling parameter for suspension control. To assess the strategy’s performance, simulations are conducted using a realistic nonlinear vehicle model validated from experimental data. The simulation results demonstrate the proposed approach’s capability to improve driving comfort.

11

Stegel, Vida, Ana Blatnik, Erik Škof, Vita Šetrajčič Dragoš, Mateja Krajc, Brigita Gregorič, Petra Škerl, et al. "Real-World Data on Detection of Germline and Somatic Pathogenic/Likely Pathogenic Variants in BRCA1/2 and Other Susceptibility Genes in Ovarian Cancer Patients Using Next Generation Sequencing." Cancers 14, no. 6 (March 10, 2022): 1434. http://dx.doi.org/10.3390/cancers14061434.

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Detection of germline and somatic pathogenic/likely pathogenic variants (PV/LPV) in BRCA genes is at the moment a prerequisite for use of PARP inhibitors in different treatment settings of different tumors. The aim of our study was to determine the most appropriate testing workflow in epithelial ovarian cancer (EOC) patients using germline and tumor genotyping of BRCA and other hereditary breast and/or ovarian cancer (HBOC) susceptibility genes. Consecutive patients with advanced non-mucinous EOC, who responded to platinum-based chemotherapy, were included in the study. DNA extracted from blood and FFPE tumor tissue were genotyped using NGS panels TruSightCancer/Hereditary and TruSight Tumor 170. Among 170 EOC patients, 21.8% had BRCA germline or somatic PV/LPV, and additionally 6.4% had PV/LPV in other HBOC genes. Sensitivity of tumor genotyping for detection of germline PV/LPV was 96.2% for BRCA genes and 93.3% for HBOC genes. With germline genotyping-only strategy, 58.8% of HBOC PV/LPV and 68.4% of BRCA PV/LPV were detected. By tumor genotyping-only strategy, 96.1% of HBOC PV/LPV and 97.4% of BRCA PV/LPV were detected. Genotyping of tumor first, followed by germline genotyping seems to be a reasonable approach for detection of PV/LPV in breast and/or ovarian cancer susceptibility genes in non-mucinous EOC patients.

12

Droppa, Tomáš, and Jakub Kraus. "Analysis for the Implementation of LPV Approaches in the Czech Republic." MAD - Magazine of Aviation Development 2, no. 10 (July 15, 2014): 4. http://dx.doi.org/10.14311/mad.2014.10.01.

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<span style="font-family: 'Times New Roman','serif'; font-size: 10pt; mso-fareast-font-family: 'MS Mincho'; mso-ansi-language: EN-GB; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-GB">This paper deals with the implementation of LPV approaches in the Czech Republic. The main aim of the research is to create a detailed analysis, specifying the appropriate parameters in line with the selected implementation options of the LPV approach, as component of IFR and with the possibility of using them as advisory system based on LPV approach for VFR segment of general aviation.</span>

13

Cuzzola, Francesco A., Ivan Boriani, and Alessandro Gentile. "AN LPV APPROACH FOR ACTIVE ROLL ECCENTRICITY COMPENSATION." IFAC Proceedings Volumes 35, no. 1 (2002): 289–94. http://dx.doi.org/10.3182/20020721-6-es-1901.00050.

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14

Huang, Yun, and Ali Jadbabaie. "Nonlinear H∞ control: an enhanced quasi-LPV approach." IFAC Proceedings Volumes 32, no. 2 (July 1999): 2754–59. http://dx.doi.org/10.1016/s1474-6670(17)56469-1.

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15

Bianchi, Fernando D., and Ricardo S. Sánchez-Peña. "A novel design approach for switched LPV controllers." International Journal of Control 83, no. 8 (August 2010): 1710–17. http://dx.doi.org/10.1080/00207179.2010.490599.

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Proimadis, I., H. J. Bijl, and J. W. van Wingerden. "A kernel based approach for LPV subspace identification." IFAC-PapersOnLine 48, no. 26 (2015): 97–102. http://dx.doi.org/10.1016/j.ifacol.2015.11.120.

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17

Wen, Nuan, Zhenghua Liu, Yang Sun, and Lingpu Zhu. "Design of LPV-Based Sliding Mode Controller with Finite Time Convergence for a Morphing Aircraft." International Journal of Aerospace Engineering 2017 (2017): 1–20. http://dx.doi.org/10.1155/2017/8426348.

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This paper proposes a finite time convergence sliding mode control (FSMC) strategy based on linear parameter-varying (LPV) methodology for the stability control of a morphing aircraft subject to parameter uncertainties and external disturbances. Based on the Kane method, a longitudinal dynamic model of the morphing aircraft is built. Furthermore, the linearized LPV model of the aircraft in the wing transition process is obtained, whose scheduling parameters are wing sweep angle and wingspan. The FSMC scheme is developed into LPV systems by applying the previous results for linear time-invariant (LTI) systems. The sufficient condition in form of linear matrix inequality (LMI) constraints is derived for the existence of a reduced-order sliding mode, in which the dynamics can be ensured to keep robust stability and L2 gain performance. The tensor-product (TP) model transformation approach can be directly applied to solve infinite LMIs belonging to the polynomial parameter-dependent LPV system. Then, by the parameter-dependent Lyapunov function stability analysis, the synthesized FSMC is proved to drive the LPV system trajectories toward the predefined switching surface with a finite time arrival. Comparative simulation results in the nonlinear model demonstrate the robustness and effectiveness of this approach.

18

Patton, Ron, Lejun Chen, and Supat Klinkhieo. "An LPV pole-placement approach to friction compensation as an FTC problem." International Journal of Applied Mathematics and Computer Science 22, no. 1 (March 1, 2012): 149–60. http://dx.doi.org/10.2478/v10006-012-0011-z.

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An LPV pole-placement approach to friction compensation as an FTC problemThe concept of combining robust fault estimation within a controller system to achieve active Fault Tolerant Control (FTC) has been the subject of considerable interest in the recent literature. The current study is motivated by the need to develop model-based FTC schemes for systems that have no unique equilibria and are therefore difficult to linearise. Linear Parameter Varying (LPV) strategies are well suited to model-based control and fault estimation for such systems. This contribution involves pole-placement within suitable LMI regions, guaranteeing both stability and performance of a multi-fault LPV estimator employed within an FTC structure. The proposed design strategy is illustrated using a nonlinear two-link manipulator system with friction forces acting simultaneously at each joint. The friction forces, regarded as a special case of actuator faults, are estimated and their effect is compensated within a polytope controller system, yielding a robust form of active FTC that is easy to apply to real robot systems.

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de Oca, Saúl, Vicenç Puig, Marcin Witczak, and Łukasz Dziekan. "Fault-tolerant control strategy for actuator faults using LPV techniques: Application to a two degree of freedom helicopter." International Journal of Applied Mathematics and Computer Science 22, no. 1 (March 1, 2012): 161–71. http://dx.doi.org/10.2478/v10006-012-0012-y.

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Fault-tolerant control strategy for actuator faults using LPV techniques: Application to a two degree of freedom helicopter In this paper, a Fault Tolerant Control (FTC) strategy for Linear Parameter Varying (LPV) systems that can be used in the case of actuator faults is proposed. The idea of this FTC method is to adapt the faulty plant instead of adapting the controller to the faulty plant. This approach can be seen as a kind of virtual actuator. An integrated FTC design procedure for the fault identification and fault-tolerant control schemes using LPV techniques is provided as well. Fault identification is based on the use of an Unknown Input Observer (UIO). The FTC controller is implemented as a state feedback controller and designed using polytopic LPV techniques and Linear Matrix Inequality (LMI) regions in such a way as to guarantee the closed-loop behavior in terms of several LMI constraints. To assess the performance of the proposed approach, a two degree of freedom helicopter is used.

20

Wang, Xiao Ming, Alois Steiner, and Jan Fiala. "Linear Parameter-Varying Modeling of Electric Vehicle Air Conditioning System." Applied Mechanics and Materials 148-149 (December 2011): 318–25. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.318.

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This article presents the approach of quasi LPV (Linear Parameter-Varying) modeling techniques for an air conditioning system of an electric vehicle. Vehicle air conditioning systems are strongly non-linear systems and it is a challenging task to get a precise real time model for control purposes. Therefore, an LPV method is first introduced to estimate the air conditioning system. Experimental results show that the LPV model delivers a very high accuracy for the COP (Coefficient Of Performance) estimation, that can’t be reached by traditional identification methods. Some discussion about the model structure and its application are presented and a non-linear LPV model structure similar to the Hammerstein structure is proposed.

21

Li, Yanhui, Xiujie Zhou, Chang Zhang, and Hamid Reza Karimi. "A Parameter-Dependent Approach to Observer-BasedH∞Control for Networked Control LPV Systems." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/698075.

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We address the observer-basedH∞controller design problem for networked control LPV (NC LPV) systems, which are network-based systems that depend on unknown but measurable time-varying parameters. According to the analysis of the special issues brought by introducing network into LPV systems and the state reconstruction based on the observer, a new augmented model is established with two independent time-varying delays, which can carry out the controller and observer collaborative design effectively. Based on the parameter-dependent Lyapunov stability theory, a sufficient condition is proposed to ensure that the closed-loop system is asymptotically stable with a guaranteedH∞performance levelγ, in which the coupling between Lyapunov function matrices and the system matrices existed. By using the Projection Lemma and introducing a slack matrix, the decoupling is achieved successfully, which refers to reducing conservatism. In the present study, the condition for stability analysis and control synthesis is formulated in terms of the parameterized linear matrix inequality (PLMI), which is infinite-dimensional and can be transformed into finite by using the basis function method and gridding technique. A numerical example is given to demonstrate the high validity and merit of the proposed approach.

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Veselý, Vojtech, and Adrian Ilka. "Robust Gain–Scheduled PID Controller Design For Uncertain LPV Systems." Journal of Electrical Engineering 66, no. 1 (January 1, 2015): 19–25. http://dx.doi.org/10.1515/jee-2015-0003.

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Abstract A novel methodology is proposed for robust gain-scheduled PID controller design for uncertain LPV systems. The proposed design procedure is based on the parameter-dependent quadratic stability approach. A new uncertain LPV system model has been introduced in this paper. To access the performance quality the approach of a parameter varying guaranteed cost is used which allowed to reach for different working points desired performance. Numerical examples show the benefit of the proposed method.

23

Peña Fernández, César A. "Control of Flexible Manipulator Robots Based on Dynamic Confined Space of Velocities: Dynamic Programming Approach." Journal of Robotics and Control (JRC) 3, no. 6 (December 4, 2022): 743–53. http://dx.doi.org/10.18196/jrc.v3i6.16454.

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Linear Parameter Varying models-based Model Predictive Control (LPV-MPC) has stood out in manipulator robots because it presents well-rejection to dynamic uncertainties in flexible joints. However, it has become too weak when the MPC's optimization problem does not include kinematic constraints-based conditions. This paper uses dynamic confined space of velocities (DCSV) to include these conditions as a recursive polytopic constraint, guaranteeing optimal dependency on a simplex scheduling parameter. To this end, the local frame's velocities and torque/force preload of joints (related to violation of kinematic constraints) are associated with different time scale dynamics such that DCSV correlates them as a polytope. So, a classical LPV-MPC will be updated using a dynamic programming approach according to the DCSV-based polytope. As a result, one lemma about DCSV-based recursive polytope and a five-step procedure for two decoupled close-loop schemes with different time scales compose the LPV-MPC proposed method. Numerical validation shows that even for relevant flexibility situations, trajectory tracking performance is improved by tuning finite horizons and optimization problem constraints regarding DCSV's behavior.

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Azizi, Soroush, Mohammad Hassan Asemani, Navid Vafamand, Saleh Mobayen, and Mohammad Hassan Khooban. "A Linear Parameter Varying Control Approach for DC/DC Converters in All-Electric Boats." Complexity 2021 (February 24, 2021): 1–12. http://dx.doi.org/10.1155/2021/8848904.

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Utilization of renewable energies in association with energy storage is increased in different applications such as electrical vehicles (EVs), electric boats (EBs), and smart grids. A robust controller strategy plays a significant role to optimally utilize the energy resources available in a power system. In this paper, a suitable controller for the energy resources of an EB which consists of a 5 kW solar power plant, 5 kW fuel cell, and 2 kW battery package is designed based on the linear parameter varying (LPV) controller design approach. Initially, all component dynamics are augmented, and by exploiting the sector-nonlinearity approach, the LPV representation is derived. Then, the LPV control method determines the suitable gains of the states’ feedbacks to provide the required pulse commands of the boost converters of the energy resources to regulate the DC-link voltage and supply the power of EB loads. Comparing with the state-of-the-art nonlinear control methods, the developed control approach assures the stability of the overall system, as it considers all component dynamics in the design procedure. The real-time simulation results demonstrate the performance of the designed controller in the creation of a constant DC-link voltage.

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Bugorkova, S. A., S. N. Klyueva, O. M. Kudryavtseva, V. P. Toporkov, T. N. Shchukovskaya, A. L. Kravtsov, N. I. Mikshis, M. A. Tarasov, S. A. Shcherbakova, and V. V. Kutyrev. "Immunologic monitoring over people vaccinated against plague in caspian sand natural focus in order to assess and manage health risks." Health Risk Analysis, no. 4 (December 2020): 121–29. http://dx.doi.org/10.21668/health.risk/2020.4.14.eng.

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To provide better opportunities for managing both risks caused by vaccination and risks of epidemiological complications, immunologic monitoring over people vaccinated with live dried plague vaccine (LPV) due to epidemiologic indications was performed. Our research goal was to assess whether immunologic monitoring over people vaccinated against plague yielded informative results; it was done to substantiate activities aimed at improving procedures for LPV application. Immunologic monitoring was performed from 2016 to 2019 in the Caspian sand natural plague focus according to conventional procedures for assessing humoral and cellular components in immunity. We determined immunologic parameters in 217 volunteers vaccinated with LPV and 130 healthy donors (the reference group) prior to and 1 and 12 months after vaccination. We suggested a methodical approach based on aggregated analysis of the summated immune response predictors chosen for estimation in volunteers vaccinated with LPV and giving score values to them; it allows revealing people who react to plague microbe antigens predominantly as per cellular, humoral, or mixed type. Immunologic monitoring results proved that it was safe to apply LPV; they allowed characterizing trends occurring in immunological restructuring in vaccinated volunteers, determining limits of fluctuation in individual parameters of an immune response to the vaccine, and revealing people with both normal and changed (reduced or increased) immunologic reactivity to LPV. If monitoring data are taken into account, it provides an opportunity to predict vaccination results as per epidemiological parameters, to reveal groups with normal, high, or low immune reactivity to plague microbe antigens in order to determine people in them who need an individual approach when it comes down to anti-plague vaccination.

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Bugorkova, S. A., S. N. Klyueva, O. M. Kudryavtseva, V. P. Toporkov, T. N. Shchukovskaya, A. L. Kravtsov, N. I. Mikshis, M. A. Tarasov, S. A. Shcherbakova, and V. V. Kutyrev. "Immunologic monitoring over people vaccinated against plague in caspian sand natural focus in order to assess and manage health risks." Health Risk Analysis, no. 4 (December 2020): 121–29. http://dx.doi.org/10.21668/health.risk/2020.4.14.

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To provide better opportunities for managing both risks caused by vaccination and risks of epidemiological complications, immunologic monitoring over people vaccinated with live dried plague vaccine (LPV) due to epidemiologic indications was performed. Our research goal was to assess whether immunologic monitoring over people vaccinated against plague yielded informative results; it was done to substantiate activities aimed at improving procedures for LPV application. Immunologic monitoring was performed from 2016 to 2019 in the Caspian sand natural plague focus according to conventional procedures for assessing humoral and cellular components in immunity. We determined immunologic parameters in 217 volunteers vaccinated with LPV and 130 healthy donors (the reference group) prior to and 1 and 12 months after vaccination. We suggested a methodical approach based on aggregated analysis of the summated immune response predictors chosen for estimation in volunteers vaccinated with LPV and giving score values to them; it allows revealing people who react to plague microbe antigens predominantly as per cellular, humoral, or mixed type. Immunologic monitoring results proved that it was safe to apply LPV; they allowed characterizing trends occurring in immunological restructuring in vaccinated volunteers, determining limits of fluctuation in individual parameters of an immune response to the vaccine, and revealing people with both normal and changed (reduced or increased) immunologic reactivity to LPV. If monitoring data are taken into account, it provides an opportunity to predict vaccination results as per epidemiological parameters, to reveal groups with normal, high, or low immune reactivity to plague microbe antigens in order to determine people in them who need an individual approach when it comes down to anti-plague vaccination.

27

Bugorkova, S. A., S. N. Klyueva, O. M. Kudryavtseva, V. P. Toporkov, T. N. Shchukovskaya, A. L. Kravtsov, N. I. Mikshis, M. A. Tarasov, S. A. Shcherbakova, and V. V. Kutyrev. "Immunologic monitoring over people vaccinated against plague in caspian sand natural focus in order to assess and manage health risks." Health Risk Analysis, no. 4 (December 2020): 121–29. http://dx.doi.org/10.21668/health.risk/2020.4.14.eng.

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To provide better opportunities for managing both risks caused by vaccination and risks of epidemiological complications, immunologic monitoring over people vaccinated with live dried plague vaccine (LPV) due to epidemiologic indications was performed. Our research goal was to assess whether immunologic monitoring over people vaccinated against plague yielded informative results; it was done to substantiate activities aimed at improving procedures for LPV application. Immunologic monitoring was performed from 2016 to 2019 in the Caspian sand natural plague focus according to conventional procedures for assessing humoral and cellular components in immunity. We determined immunologic parameters in 217 volunteers vaccinated with LPV and 130 healthy donors (the reference group) prior to and 1 and 12 months after vaccination. We suggested a methodical approach based on aggregated analysis of the summated immune response predictors chosen for estimation in volunteers vaccinated with LPV and giving score values to them; it allows revealing people who react to plague microbe antigens predominantly as per cellular, humoral, or mixed type. Immunologic monitoring results proved that it was safe to apply LPV; they allowed characterizing trends occurring in immunological restructuring in vaccinated volunteers, determining limits of fluctuation in individual parameters of an immune response to the vaccine, and revealing people with both normal and changed (reduced or increased) immunologic reactivity to LPV. If monitoring data are taken into account, it provides an opportunity to predict vaccination results as per epidemiological parameters, to reveal groups with normal, high, or low immune reactivity to plague microbe antigens in order to determine people in them who need an individual approach when it comes down to anti-plague vaccination.

28

Abdalla, Musa, and Tamir Shagarin. "Industrial Process Control Using LPV." Modern Applied Science 11, no. 9 (August 11, 2017): 39. http://dx.doi.org/10.5539/mas.v11n9p39.

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An industrial process control application of level and temperature is considered. The nonlinear mathematical model of the system is cast as a linear parameter varying (LPV) system. A linear matrix inequality (LMI) type of controller is successfully designed using the LMI unified approach to regulating both controlled variables, namely; temperature and level. The closed loop system is then implemented through computer simulation to show the effectiveness of the controller in performing the combined level-temperature regulation. Basically, this combined level and temperature industrial control application is used to demonstrate the effectiveness of post-modern controllers; in this case LMI based controllers.

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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 (January 26, 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 the separation principle when determining the observer and the state feedback parameters. The synthesis problem is formulated without this principle. A numerical example is provided to illustrate the effectiveness of our approach that leads to a better H∞ level compared with other results, from literature, for the same example.

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Varga, Andreas, and Daniel Ossmann. "LPV-model based identification approach of oscillatory failure cases." IFAC Proceedings Volumes 45, no. 20 (January 2012): 1347–52. http://dx.doi.org/10.3182/20120829-3-mx-2028.00097.

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Do, Anh-Lam, and François Fauvel. "LPV approach for collision avoidance: Controller design and experiments." Control Engineering Practice 113 (August 2021): 104856. http://dx.doi.org/10.1016/j.conengprac.2021.104856.

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SAKAMOTO, Atsushi, Yuichi IKEDA, Isao YAMAGUCHI, and Takashi KIDA. "Nonlinear Tracking Control of Spacecraft with MPC: LPV Approach." AEROSPACE TECHNOLOGY JAPAN, THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 15 (2016): 133–40. http://dx.doi.org/10.2322/astj.15.133.

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Szabó, Z., J. Bokor, and G. Balas. "DETECTION FILTER DESIGN FOR LPV SYSTEMS – A GEOMETRIC APPROACH." IFAC Proceedings Volumes 35, no. 1 (2002): 371–76. http://dx.doi.org/10.3182/20020721-6-es-1901.00793.

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Forrai, Alexandru, Takaharu Ueda, and Takashi Yumura. "Electromagnetic Actuator Control: A Linear Parameter-Varying (LPV) Approach." IEEE Transactions on Industrial Electronics 54, no. 3 (June 2007): 1430–41. http://dx.doi.org/10.1109/tie.2007.893077.

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Bokor, J., and G. Balas. "Detection filter design for LPV systems—a geometric approach." Automatica 40, no. 3 (March 2004): 511–18. http://dx.doi.org/10.1016/j.automatica.2003.11.003.

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Farhat, Ahmad, Damien Koenig, and Olivier Sename. "Fault detection for LPV systems: Loop shaping H_ approach." IFAC-PapersOnLine 48, no. 26 (2015): 188–93. http://dx.doi.org/10.1016/j.ifacol.2015.11.135.

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Kraus, Jakub. "Implementation and certification of LPV approach and options for VFR aerodromes." MAD - Magazine of Aviation Development 1, no. 2 (March 15, 2013): 3. http://dx.doi.org/10.14311/mad.2013.02.01.

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This article focuses on general LPV approach certification for erodromes. It also indicates the problematic parts of the current certification rocess and shows the direction for possible certification of instrument approaches at uncontrolled aerodromes.

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Hasseni, Seif-El-Islam, and Latifa Abdou. "Robust LFT-LPV H∞ Control of an Underactuated Inverted Pendulum on a Cart with Optimal Weighting Functions Selection by GA and ES." Acta Mechanica et Automatica 14, no. 4 (December 1, 2020): 186–97. http://dx.doi.org/10.2478/ama-2020-0027.

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Abstract This article investigates the robust stabilization and control of the inverted pendulum on a cart against disturbances, measurement noises, and parametric uncertainties by the LFT-based LPV technique (Linear-Fractional-Transformation based Linear-Parameter-Varying). To make the applying of the LPV technique possible, the LPV representation of the inverted pendulum on a cart model is developed. Besides, the underactuated constraint of this vehicle is overcome by considering both degrees of freedom (the rotational one and the translational one) in the structure. Moreover, the selection of the weighting functions that represent the desired performance is solved by two approaches of evolutionary algorithms; Genetic Algorithms (GA) and Evolutionary Strategies (ES) to find the weighting functions’ optimal parameters. To validate the proposed approach, simulations are performed and they show the effectiveness of the proposed approach to obtain robust controllers against external signals, as well as the parametric uncertainties.

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Lao-atiman, Woranunt, Sorin Olaru, Sette Diop, Sigurd Skogestad, Amornchai Arpornwichanop, Rongrong Cheacharoen, and Soorathep Kheawhom. "Linear parameter-varying model for a refuellable zinc–air battery." Royal Society Open Science 7, no. 12 (December 2020): 201107. http://dx.doi.org/10.1098/rsos.201107.

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Due to the increasing trend of using renewable energy, the development of an energy storage system (ESS) attracts great research interest. A zinc–air battery (ZAB) is a promising ESS due to its high capacity, low cost and high potential to support circular economy principles. However, despite ZABs' technological advancements, a generic dynamic model for a ZAB, which is a key component for effective battery management and monitoring, is still lacking. ZABs show nonlinear behaviour where the steady-state gain is strongly dependent on operating conditions. The present study aims to develop a dynamic model, being capable of predicting the nonlinear dynamic behaviour of a refuellable ZAB, using a linear parameter-varying (LPV) technique. The LPV model is constructed from a family of linear time-invariant models, where the discharge current level is used as a scheduling parameter. The developed LPV model is benchmarked against linear and nonlinear model counterparts. Herein, the LPV model performs remarkably well in capturing the nonlinear behaviour of a ZAB. It significantly outperforms the linear model. Overall, the LPV approach provides a systematic way to construct a robust dynamic model which well represents the nonlinear behaviour of a ZAB.

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Hickman, Dean, Sudthida Vasavanonda, George Nequist, Lynn Colletti, Warren M. Kati, Richard Bertz, Ann Hsu, and Dale J. Kempf. "Estimation of Serum-Free 50-Percent Inhibitory Concentrations for Human Immunodeficiency Virus Protease Inhibitors Lopinavir and Ritonavir." Antimicrobial Agents and Chemotherapy 48, no. 8 (August 2004): 2911–17. http://dx.doi.org/10.1128/aac.48.8.2911-2917.2004.

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ABSTRACT Using measured free fraction and 50% inhibitory concentration (IC50) values for the human immunodeficiency virus protease inhibitors lopinavir (LPV) and ritonavir (RTV) in tissue culture media with various protein concentrations ranging from 5 to 50%, we estimated serum-free IC50 values for each drug. The range of serum-free IC50 values (0.64 to 0.77 ng/ml for LPV and 3.0 to 5.0 ng/ml for RTV) did not exhibit a trend with increasing protein concentrations, despite a 10-fold difference in the free fraction value (0.006 to 0.063) for LPV and a 5-fold difference in the free fraction value (0.013 to 0.057) for RTV. The mean serum-free IC50 by the MTT-MT4 assay (0.69 ng/ml for LPV and 4.0 ng/ml for RTV) may be the most accurate parameter for the estimation of the inhibitory quotient (IQ), a relative measure of in vivo potency defined as the ratio of the minimal free drug concentration in plasma (C trough,free) for a specific patient population and the serum-free IC50. Using this approach, we calculated the average IQs for protease inhibitor-naïve patients for LPV and RTV to be 67 and 5.6, respectively.

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Facerias, Marc, Vicenç Puig, and Eugenio Alcala. "Zonotopic Linear Parameter Varying SLAM Applied to Autonomous Vehicles." Sensors 22, no. 10 (May 11, 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 the noise nature other than its limits. LPV theory is used to model the dynamics of the vehicle and implement both an LPV-model predictive controller and a Zonotopic Kalman filter that allow localisation and navigation of the robot. The control and estimation scheme is validated in simulation using the Robotic Operating System (ROS) framework, where its effectiveness is demonstrated.

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Jamaaoui, Faycel, Vicenç Puig, and Mounir Ayadi. "Optimal Control of Hybrid Photovoltaic/Thermal Water System in Solar Panels Using the Linear Parameter Varying Approach." Processes 11, no. 12 (December 13, 2023): 3426. http://dx.doi.org/10.3390/pr11123426.

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During photovoltaic (PV) conversion in solar panels, a part of the solar radiation is not converted to electricity by the cells, producing heat that could increase their temperature. This increase in temperature deteriorates the performance of the PV panel. In this paper, a hybrid PV/thermal (PV/T) water system is proposed to mitigate this problem. This system combines a PV panel and a thermal collector. In this paper, we focused on the modeling and control of this hybrid system in the linear parameter varying (LPV) framework. An optimal linear quadratic regulator (LQR) is proposed to control the PV cell temperature around an optimal value that maximises electricity generation. Since the system model is nonlinear, an optimal LQR gain-scheduling state-feedback control approach based on an LPV representation of the nonlinear model is designed using the Linear Matrix Inequality (LMI) method. The goal is to obtain the maximum electrical power for each solar panel. Since a reduced number of sensors is available, an LPV Kalman filter is also proposed to estimate the system states required by the state-feedback controller. The obtained results in a laboratory setup in simulation are used to assess the proposed approach, showing promise in terms of control performance of the PV/T system.

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Rotondo, Damiano, Fatiha Nejjari, and Vicenç Puig. "Fault Estimation and Virtual Actuator FTC Approach for LPV Systems*." IFAC Proceedings Volumes 45, no. 20 (January 2012): 824–29. http://dx.doi.org/10.3182/20120829-3-mx-2028.00142.

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Grimble, M., S. Alotaibi, and P. Majecki. "Restricted Structure Polynomial Systems Approach to LPV Generalized Predictive Control." IFAC-PapersOnLine 54, no. 6 (2021): 36–42. http://dx.doi.org/10.1016/j.ifacol.2021.08.521.

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Khalate, Amol A., Xavier Bombois, Roland Tóth, and Robert Babuŝka. "Optimal experimental design for LPV identification using a local approach." IFAC Proceedings Volumes 42, no. 10 (2009): 162–67. http://dx.doi.org/10.3182/20090706-3-fr-2004.00027.

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Gerard, Benjamin, Harouna Souley Ali, Michel Zasadzinski, and Mohamed Darouach. "${\cal H}_{\infty }$ Filter for Bilinear Systems Using LPV Approach." IEEE Transactions on Automatic Control 55, no. 7 (July 2010): 1668–74. http://dx.doi.org/10.1109/tac.2010.2046075.

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Farhood, Mazen. "LPV Control of Nonstationary Systems: A Parameter-Dependent Lyapunov Approach." IEEE Transactions on Automatic Control 57, no. 1 (January 2012): 209–15. http://dx.doi.org/10.1109/tac.2011.2161793.

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Robert, David, Olivier Sename, and Daniel Simon. "SYNTHESIS OF A SAMPLING PERIOD DEPENDENT CONTROLLER USING LPV APPROACH." IFAC Proceedings Volumes 39, no. 9 (2006): 226–31. http://dx.doi.org/10.3182/20060705-3-fr-2907.00040.

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Wollnack, Simon, Hossam Seddik Abbas, Roland Tóth, and Herbert Werner. "Fixed-structure LPV-IO controllers: An implicit representation based approach." Automatica 83 (September 2017): 282–89. http://dx.doi.org/10.1016/j.automatica.2017.06.009.

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Motchon, K. M. D., L. H. Rajaoarisoa, L. Etienne, and S. Lecoeuche. "On experiment design for local approach identification of LPV systems." IFAC-PapersOnLine 51, no. 15 (2018): 221–26. http://dx.doi.org/10.1016/j.ifacol.2018.09.138.

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Journal articles on the topic 'LPV approach'

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