Relevant bibliographies by topics / MPC

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'MPC'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "MPC"

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Firsov, Alexander A., Elena N. Strukova, Darya S. Shlykova, et al. "Bacterial Resistance Studies UsingIn VitroDynamic Models: the Predictive Power of the Mutant Prevention and Minimum Inhibitory Antibiotic Concentrations." Antimicrobial Agents and Chemotherapy 57, no. 10 (2013): 4956–62. http://dx.doi.org/10.1128/aac.00578-13.

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ABSTRACTIn light of the concept of the mutant selection window, i.e., the range between the MIC and the mutant prevention concentration (MPC), MPC-related pharmacokinetic indices should be more predictive of bacterial resistance than the respective MIC-related indices. However, experimental evidence of this hypothesis remains limited and contradictory. To examine the predictive power of the ratios of the area under the curve (AUC24) to the MPC and the MIC, the selection of ciprofloxacin-resistant mutants of fourEscherichia colistrains with different MPC/MIC ratios was studied. Each organism wa
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Strukova, Elena N., Yury A. Portnoy, Andrey V. Romanov, Mikhail V. Edelstein, Stephen H. Zinner, and Alexander A. Firsov. "Searching for the Optimal Predictor of Ciprofloxacin Resistance in Klebsiella pneumoniae by UsingIn VitroDynamic Models." Antimicrobial Agents and Chemotherapy 60, no. 3 (2015): 1208–15. http://dx.doi.org/10.1128/aac.02334-15.

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There is growing evidence of applicability of the hypothesis of the mutant selection window (MSW), i.e., the range between the MIC and the mutant prevention concentration (MPC), within which the enrichment of resistant mutants is most probable. However, it is not clear if MPC-based pharmacokinetic variables are preferable to the respective MIC-based variables as interstrain predictors of resistance. To examine the predictive power of the ratios of the area under the curve (AUC24) to the MPC and to the MIC, the selection of ciprofloxacin-resistant mutants of threeKlebsiella pneumoniaestrains wi
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Meena, Lakshmipathy, Krishnan Selvi, A. V. Kavitha, Sunderesan Anand, and Durgadevi Parthasarathy. "A pilot study on comparative analysis of minimum inhibitory concentration and mutant prevention concentration of conjunctival bacterial isolates against fluoroquinolones." Indian Journal of Microbiology Research 11, no. 3 (2024): 180–85. http://dx.doi.org/10.18231/j.ijmr.2024.033.

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The aim of this study was to compare the Minimum Inhibitory Concentration (MIC) and Mutant Prevention Concentration (MPC) of fluoroquinolones, including ciprofloxacin, moxifloxacin, and gatifloxacin, against and coagulase-negative Staphylococci (CONS) isolated from conjunctival swabs.25 isolates of spp., obtained from conjunctival swabs submitted to the Department of Microbiology, Vision Research Foundation, Sankara Nethralaya, were included in this study. The identification and confirmation of spp. were performed using standard microbiological techniques. The MIC and MPC were determined using
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Palupi, Maria Fatima, Eli Nugraha, Meutia Hayati, and Neneng Atikah. "Mutant Prevention Concentration Siprofloksasin Terhadap Escherichia coli Patogen dari Kloaka Broiler Secara In Vitro." Jurnal Sain Veteriner 39, no. 1 (2021): 20. http://dx.doi.org/10.22146/jsv.57040.

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Mutant prevention concentration (MPC) is an in vitro test used to determine the lowest drug concentration needed to inhibit the growth of a single-step-mutant bacterial subpopulation. The purpose of this study was to determine the MPC value of ciprofloxacin against pathogenic Escherichia coli to obtained the range of mutant selection windows (MSW) of ciprofloxacin. Ciprofloxacin is a quinolone group that is included in the Highest Priority Critically Important Antimicrobials for Human Medicine but is also used for the treatment of bacterial infections in production animals. Twenty-four of path
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Salunke, Prafulla, and Lloyd E. Metzger. "Transglutaminase Crosslinked Milk Protein Concentrate and Micellar Casein Concentrate: Impact on the Functionality of Imitation Mozzarella Cheese Manufactured on a Small Scale Using a Rapid Visco Analyzer." Foods 13, no. 17 (2024): 2720. http://dx.doi.org/10.3390/foods13172720.

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In dairy-based imitation mozzarella cheese (IMC) formulations, intact casein is critical and imparts IMC with a firm and elastic, stringy, melted texture. Rennet casein (RCN) is the desired ingredient to provide intact casein in IMC and is preferred over milk protein concentrate (MPC) and micellar casein concentrate (MCC). Transglutaminase (TGase), a crosslinking enzyme, alters the physical properties of MPC or MCC and may change IMC functionality. The objective of this study was to determine the effect of TGase-crosslinked MPC and MCC powders on the functionality of IMCs. The TGase treatment
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Firsov, Alexander A., Maria V. Golikova, Elena N. Strukova, et al. "In VitroResistance Studies with Bacteria That Exhibit Low Mutation Frequencies: Prediction of “Antimutant” Linezolid Concentrations Using a Mixed Inoculum Containing both Susceptible and Resistant Staphylococcus aureus." Antimicrobial Agents and Chemotherapy 59, no. 2 (2014): 1014–19. http://dx.doi.org/10.1128/aac.04214-14.

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ABSTRACTBacterial resistance studies usingin vitrodynamic models are highly dependent on the starting inoculum that might or might not contain spontaneously resistant mutants (RMs). To delineate concentration-resistance relationships with linezolid-exposedStaphylococcus aureus, a mixed inoculum containing both susceptible cells and RMs was used. An RM selected after the 9th passage of the parent strain (MIC, 2 μg/ml) on antibiotic-containing media (RM9; MIC, 8 μg/ml) was chosen for the pharmacodynamic studies, because the mutant prevention concentration (MPC) of linezolid against the parent st
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Guan, Weide, Shoudao Huang, Derong Luo, and Fei Rong. "A Reverse Model Predictive Control Strategy for a Modular Multilevel Converter." Energies 12, no. 2 (2019): 297. http://dx.doi.org/10.3390/en12020297.

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In recent years, modular multilevel converters (MMCs) have developed rapidly, and are widely used in medium and high voltage applications. Model predictive control (MPC) has attracted wide attention recently, and its advantages include straightforward implementation, fast dynamic response, simple system design, and easy handling of multiple objectives. The main technical challenge of the conventional MPC for MMC is the reduction of computational complexity of the cost function without the reduction of control performance of the system. Some modified MPC scan decrease the computational complexi
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Serrano-Rodríguez, J. M., C. Cárceles-García, C. M. Cárceles-Rodríguez, M. L. Gabarda, J. M. Serrano-Caballero, and E. Fernández-Varón. "Susceptibility and PK/PD relationships of Staphylococcus aureus strains isolated from the milk of sheep and goats with clinical mastitis to five veterinary fluoroquinolones." Veterinary Record 180, no. 15 (2017): 376. http://dx.doi.org/10.1136/vr.103964.

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Minimum inhibitory concentration (MIC) and mutant prevention concentration (MPC) of veterinary fluoroquinolones as enrofloxacin, its metabolite ciprofloxacin, danofloxacin, difloxacin and marbofloxacin against Staphylococcus aureus strains (n=24) isolated from milk of sheep and goats affected by clinical mastitis were evaluated. The authors have used the MIC and MPC, as well as the pharmacokinetic-pharmacodynamic relationships in plasma and milk. MIC values were significantly different between drugs, unlike MPC values. Lower MIC values were obtained for danofloxacin and difloxacin, middle and
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Chen, Lianghua, Jianping Zhou, Jiayu Zhai, Lisheng Yang, Xudong Qian, and Zhiyong Tao. "Continuous-Control-Set Model Predictive Control Strategy for MMC-UPQC Under Non-Ideal Conditions." Energies 18, no. 11 (2025): 2946. https://doi.org/10.3390/en18112946.

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In the MMC-based unified power quality conditioner (MMC-UPQC), the computational burden of finite-control-set model predictive control (FCS-MPC) increases rapidly with the number of MMC submodules. Meanwhile, conventional linear and nonlinear control methods suffer from limited compensation accuracy. To address this, a control strategy combining continuous-control-set model predictive control (CCS-MPC) and phase-shifted carrier pulse-width modulation (PSC-PWM) is proposed. CCS-MPC performs repeated time-domain optimization based on the system model. It offers advantages such as fast dynamic re
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Credito, Kim, Klaudia Kosowska-Shick, and Peter C. Appelbaum. "Mutant Prevention Concentrations of Four Carbapenems against Gram-Negative Rods." Antimicrobial Agents and Chemotherapy 54, no. 6 (2010): 2692–95. http://dx.doi.org/10.1128/aac.00033-10.

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ABSTRACT We tested the propensities of four carbapenems to select for resistant Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii mutants by determining the mutant prevention concentrations (MPCs) for 100 clinical strains with various ß-lactam phenotypes. Among the members of the Enterobacteriaceae family and A. baumannii strains, the MPC/MIC ratios were mostly 2 to 4. In contrast, for P. aeruginosa the MPC/MIC ratios were 4 to ≥16. The MPC/MIC ratios for β-lactamase-positive K. pneumoniae and E. coli isolates were much higher (range, 4 to >16 μg/m
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Dissertations / Theses on the topic "MPC"

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Lima, Marcelo Lopes de. "Distributed satisficing MPC." reponame:Repositório Institucional da UFSC, 2014. https://repositorio.ufsc.br/xmlui/handle/123456789/122752.

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Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Automação e Sistemas, Florianópolis, 2013.<br>Made available in DSpace on 2014-08-06T17:19:47Z (GMT). No. of bitstreams: 1 325382.pdf: 1772540 bytes, checksum: 52b8f812eaccad89bad0282c1c7c5db4 (MD5)<br>Abstract : To obtain a Pareto-optimal solution, the classical cooperative MPC implementsa categorical altruism imposed by a fixed global cost sharedby all the local controllers. Instead, this thesis implements a situationalaltruism where a global cost, neither imposed nor fix
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Kück, Corvin. "MPC Design For Autonomous Drifting." Thesis, KTH, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215873.

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The goal of this thesis is to evaluate the performance of different controllers to keep a remotecontrolledvehicle in a sustained drift. A bicycle model and an empirical tyre model are used formodelling the vehicle. The parameters for the used Fiala tyre model are experimentally identifiedand the simulation results of the modelled vehicle are compared to measured experimental data. Itfollows a stability analysis of the modelled system. The system is then linearized around one ofthe drift equilibria to allow controller design. A state feedback controller is designed to stabilizethe system, the c
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Torabi, Zahra. "Distributed non-cooperative robust economic predictive control for dynamically coupled linear systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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In this thesis, a tube-based Distributed Economic Predictive Control (DEPC) scheme is presented for a group of dynamically coupled linear subsystems. These subsystems are components of a large scale system and control inputs are computed based on optimizing a local economic objective. Each subsystem is interacting with its neighbors by sending its future reference trajectory, at each sampling time. It solves a local optimization problem in parallel, based on the received future reference trajectories of the other subsystems. To ensure recursive feasibility and a performance bound, each subsys
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Jimoh, Mohammed Tajudeen. "A vision for MPC performance maintenance." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4739/.

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Model predictive control (MPC) is an advanced control that has found widespread use in industries, particularly in process industries like oil refining and petrochemicals. Although the basic premise behind MPC is easy to comprehend, its inner workings are still generally viewed or regarded as too advanced for actual plant operator understanding. This lack of understanding is exposed when MPC performance deteriorates sometime after commissioning, as is often the case in some commercially operated process plants. Currently operators might have difficulty over reasoning about MPC performance degr
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Klaesson, Filip, and John Friberg. "Autonomous Overtaking Using Reachability Analysisand MPC." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230162.

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The era of autonomous cars is on the rise. Asdrivers lose control of the steering wheel, it is crucial that thecars themselves can guarantee safety for all traffic participants.This study aims to design a complete control system that cansafely perform an overtaking maneuver. To guarantee safety ofthe maneuver, reachability calculations will be carried out andanalyzed. The overtaking will be planned by using the modelpredictive control, MPC, framework. To complete the controlsystem a modified proportional controller will be designed totrack the planned path. The control system is implemented in
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Andersson, Amanda, and Elin Näsholm. "Fast Real-Time MPC for Fighter Aircraft." Thesis, Linköpings universitet, Reglerteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148580.

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The main topic of this thesis is model predictive control (MPC) of an unstable fighter aircraft. When flying it is important to be able to reach, but not exceed the aircraft limitations and to consider the physical boundaries on the control signals. MPC is a method for controlling a system while considering constraints on states and control signals by formulating it as an optimization problem. The drawback with MPC is the computational time needed and because of that, it is primarily developed for systems with a slowly varying dynamics. Two different methods are chosen to speed up the process
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Bin, Elisa. "MPC-based Visual Servo Control for UAVs." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284503.

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Vision information is essential for planning and control of autonomous systems.Vision-based control systems leverage rich visual input for motion planningand manipulation tasks. This thesis studies the problem of Image-BasedVisual Servo (IBVS) control for quadrotor UAVs. Despite the effectiveness ofvision-based systems, the control of quadrotors with IBVS presents the nontrivialchallenge of matching the 6 DoF control output obtained by the IBVSwith the 4DoF of the quadrotor. The novelty of this work lies in addressing theunder-actuation problem of quadrotors using linear Model Predictive Contr
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Maguire, Emma. "Monitoring of Lubricant Degradation with RULER and MPC." Thesis, Linköping University, Department of Physics, Chemistry and Biology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57846.

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<p>Traditional oil analysis methods - e.g. acidity and viscosity measurements - have been used to monitor lubricant conditions. These methods can detect when the useful life of a lubricant is over but fall short when trying to gain insight on how long a lubricant in current use could last. This makes it difficult to make proactive decisions and estimate oil drain periods. Lubricants do not start to degrade until the antioxidants, which prevent from oxidation, have depleted to a certain level where they no longer can protect the base oil from degradation. During the degradation process insolubl
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Meum, Patrick. "Optimal Reservoir control using nonlinear MPC and ECLIPSE." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9610.

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<p>Recent years advances within well deployment and instrumentation technology offers huge potentials for increased oil recovery from reservoir production. Wells can now be equipped with controllable valves at reservoir depth, which may possibly alter the production profitability of the field completely, if the devices are used in an intelligent manner. This thesis investigates this potential by using model predictive control to maximize reservoir production performance and total oil production. The report describes an algorithm for nonlinear model predictive control, using a single shooting,
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Fleming, James. "Robust and stochastic MPC of uncertain-parameter systems." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:c19ff07c-0756-45f6-977b-9d54a5214310.

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Constraint handling is difficult in model predictive control (MPC) of linear differential inclusions (LDIs) and linear parameter varying (LPV) systems. The designer is faced with a choice of using conservative bounds that may give poor performance, or accurate ones that require heavy online computation. This thesis presents a framework to achieve a more flexible trade-off between these two extremes by using a state tube, a sequence of parametrised polyhedra that is guaranteed to contain the future state. To define controllers using a tube, one must ensure that the polyhedra are a sub-set of th
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Books on the topic "MPC"

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C, Yanchyshyn Anne, ed. MPC flashbacks. A.C. Yanchyshyn, 1989.

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Klaučo, Martin, and Michal Kvasnica. MPC-Based Reference Governors. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17405-7.

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Health, Malawi Ministry of, and Malawi Essential Drugs Programme, eds. The Malawi prescriber's companion (MPC). Malawi Govt., Ministry of Health, 1993.

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Ltd, Silvacom, Canadian Forestry Service, and Canada-Alberta Forest Resource Development Agreement., eds. MPC PSP catalogue: Program and catalogue. 3rd ed. Canadian Forestry Service, 1987.

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Hansen, Stephen. Delayed doves: MPC voting behaviour of externals. Centre for Economic Performance, London School of Economics and Political Science, 2008.

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Robinson, P. L. The metaplectic representation, Mpc structures, and geometric quantization. American Mathematical Society, 1989.

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Gallieri, Marco. Lasso-MPC – Predictive Control with ℓ1-Regularised Least Squares. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27963-3.

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Takács, Gergely. Model Predictive Vibration Control: Efficient Constrained MPC Vibration Control for Lightly Damped Mechanical Structures. Springer London, 2012.

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MPC '98 (1998 : Marstrand, Sweden). Mathematics of program construction: 4th international conference, MPC '98, Marstrand, Sweden, June 15-17, 1998 : proceedings. Springer Verlag, 1998.

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International, Conference on Mathematics of Program Construction (4th 1998 Marstrand Sweden). Mathematics of program construction: 4th international conference, MPC'98, Marstrand, Sweden, June 15-17, 1998 : proceedings. Springer, 1998.

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Book chapters on the topic "MPC"

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Völz, Andreas. "Unscented MPC." In Modellprädiktive Regelung nichtlinearer Systeme mit Unsicherheiten. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-16279-5_4.

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Frederiksen, Tore K., Benny Pinkas, and Avishay Yanai. "Committed MPC." In Public-Key Cryptography – PKC 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76578-5_20.

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Camacho, Eduardo F., and Carlos Bordons. "Multivariable MPC." In Model Predictive Control. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-3398-8_6.

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Camacho, Eduardo F., and Carlos Bordons. "Constrained MPC." In Model Predictive Control. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-3398-8_7.

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Camacho, Eduardo F., and Carlos Bordons. "Robust MPC." In Model Predictive Control. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-3398-8_8.

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Ławryńczuk, Maciej. "MPC Algorithms." In Studies in Systems, Decision and Control. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04229-9_1.

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Fernandez-Camacho, Eduardo, and Carlos Bordons-Alba. "Constrained MPC." In Model Predictive Control in the Process Industry. Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3008-6_6.

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Fernandez-Camacho, Eduardo, and Camacho Carlos Bordons-Alba. "Robust MPC." In Model Predictive Control in the Process Industry. Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3008-6_7.

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Holländer, Ulf, Axel Schroeder, and Ulrich Oldehaver. "MPC Capital AG." In Deutsche Standards Beispielhafte Geschäftsberichte. Gabler Verlag, 2004. http://dx.doi.org/10.1007/978-3-322-99378-6_60.

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Takács, Gergely, and Boris Rohal’-Ilkiv. "Basic MPC Formulation." In Model Predictive Vibration Control. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2333-0_6.

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Conference papers on the topic "MPC"

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Dušek, František, Daniel Honc, and Aleš Novotný. "RCDue - MPC Controller." In 2025 25th International Conference on Process Control (PC). IEEE, 2025. https://doi.org/10.1109/pc65047.2025.11047375.

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Garg, Radhika, Kang Yang, Jonathan Katz, and Xiao Wang. "Scalable Mixed-Mode MPC." In 2024 IEEE Symposium on Security and Privacy (SP). IEEE, 2024. http://dx.doi.org/10.1109/sp54263.2024.00106.

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Syntakas, Spyridon, and Kostas Vlachos. "Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics." In 2025 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2025. https://doi.org/10.1109/sii59315.2025.10870887.

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Chen, Yu, Zhen Wang, Dali Wu, Hua Fan, Yongmao Wang, and Yingxiang Guo. "Improved MPC Method Based on Model Parameter Online Estimation for MMC." In 2024 7th International Conference on Renewable Energy and Power Engineering (REPE). IEEE, 2024. https://doi.org/10.1109/repe62578.2024.10809846.

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Belvedere, Tommaso, Nicola Scianca, Leonardo Lanari, and Giuseppe Oriolo. "Joint-Level IS-MPC: a Whole-Body MPC with Centroidal Feasibility for Humanoid Locomotion." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10801628.

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Puthumanaillam, Gokul, Manav Vora, and Melkior Ornik. "ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10801659.

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Lin, Guopeng, Xiaoning Du, Lushan Song, et al. "Is MPC Secure? Leveraging Neural Network Classifiers to Detect Data Leakage Vulnerabilities in MPC Implementations." In 2025 IEEE Symposium on Security and Privacy (SP). IEEE, 2025. https://doi.org/10.1109/sp61157.2025.00181.

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Liu, Hong, Leibo Liu, Wenping Zhu, Qiang Li, Huiyu Mo, and Shaojun Wei. "L-MPC." In DAC '19: The 56th Annual Design Automation Conference 2019. ACM, 2019. http://dx.doi.org/10.1145/3316781.3317854.

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Luo, Yinghui, Xiaoshi Deng, Yilin Wu, and Junhuan Wang. "MPC-DPOS." In ICBTA 2019: 2019 2nd International Conference on Blockchain Technology and Applications. ACM, 2019. http://dx.doi.org/10.1145/3376044.3376061.

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Vale, Jonny, Jon Favreau, and Adam Valdez. "MPC presents." In SIGGRAPH '17: Special Interest Group on Computer Graphics and Interactive Techniques Conference. ACM, 2017. http://dx.doi.org/10.1145/3078280.3101033.

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Reports on the topic "MPC"

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Lajoie, John. PHENIX Muon Piston Calorimeter (MPC) APD and Prototype MPC Extension (MPC-EX) Tests. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1128068.

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Christelis, Dimitris, Dimitris Georgarakos, Tullio Jappelli, Luigi Pistaferri, and Maarten van Rooij. Wealth Shocks and MPC Heterogeneity. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w25999.

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Michael A. Bender, Martin Farach-Colton, and Bradley C. Kuszmaul. Final Report: Efficient Databases for MPC Microdata. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1048538.

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Ramsey, Monica, Dylan Scott, Charles Weiss, and Jeb Tingle. Development of magnesium phosphate cement (MPC) concrete mixture proportioning for airfield pavements : laboratory and field validation MPC test report. Engineer Research and Development Center (U.S.), 2020. http://dx.doi.org/10.21079/11681/35475.

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J. Davis. 12 PWR ASSEMBLY MPC WASTE PACKAGE CRITICALITY ANALYSIS. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/891573.

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Ampudia, Miguel, Russell Cooper, Julia Le Blanc, and Guozhong Zhu. MPC Heterogeneity in Europe: Sources and Policy Implications. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w25082.

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W.E. Wallin. ANALYSIS OF MPC WEIGHT, DIMENSIONAL ENVELOPE, AND CONFIGURATION REQUIREMENTS. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/883429.

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W. Wallin. ANALYSIS OF MPC ACCESS REQUIREMENTS FOR ADDITION OF FILLER MATERIALS. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/891532.

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Beck, David Franklin, and Carol L. Stoy-McLeod. MPC&A training needs of the NIS/Baltics States. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/893149.

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J.K. McCoy. ANALYSIS OF DEGRADATION DUE TO WATER AND GASES IN MPC. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/862234.

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