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Journal articles on the topic 'Rmpc'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Li, Zexin, Feng Xu, Dongsheng Guo, Pingjiang Wang, and Bo Yuan. "New P-type RMPC Scheme for Redundant Robot Manipulators in Noisy Environment." Robotica 38, no. 5 (2019): 775–86. http://dx.doi.org/10.1017/s0263574719001036.

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SUMMARYRepetitive motion planning and control (RMPC) is a significant issue in the research of redundant robot manipulators. Moreover, noise from rounding error, truncation error, and robot uncertainty is an important factor that greatly affects RMPC schemes. In this study, the RMPC of redundant robot manipulators in a noisy environment is investigated. By incorporating the proportional and integral information of the desired path, a new RMPC scheme with pseudoinverse-type (P-type) formulation is proposed. Such a P-type RMPC scheme possesses the suppression of constant and bounded time-varying

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Eedara, Aswani K., Chandra S. Koritala, and Srinivasa R. Rayapudi. "Refined Model Predictive Control of Back-to-back 3L-NPC Converter Interfacing a PMSG Based WECS with Grid for Blocking High Jumps in Voltages." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 1 (2020): 43–51. http://dx.doi.org/10.2174/2213111607666190124093856.

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Background: For controlling a back-to-back three-level (3L) Neutral-Point-Clamped (NPC) converter of a Permanent-Magnet Synchronous Generator (PMSG) based Wind Energy Conversion System (WECS), a Refined Model Predictive Control (RMPC) strategy is presented in this paper. Methods: The RMPC strategies of PMSG-side and network-side converters aim at prevention of the high jumps in line and pole voltages of both the converters. A suitable subset of Switching States (SSs), which can prevent these high jumps, is predetermined for each SS. In each control cycle, the RMPC algorithm determines an optim

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Wang, Di, Xiao Wu, and Jiong Shen. "An Efficient Robust Predictive Control of Main Steam Temperature of Coal-Fired Power Plant." Energies 13, no. 15 (2020): 3775. http://dx.doi.org/10.3390/en13153775.

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Regulating performance of the main steam temperature (MST) system concerns the economy and safety of the coal-fired power plant (CFPP). This paper develops an offset-free offline robust model predictive control (RMPC) strategy for the MST system of CFPP. Zonotope-type uncertain model is utilized as the prediction model in the proposed RMPC design owing to its features of higher accuracy, compactness of representation and less complexity. An offline RMPC aiming at the system robustness and computational efficiency is then developed to maintain the desired steam temperature in case of wide opera

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Moradi, Shahab M., Ahmad Akbari, and Mehdi Mirzaei. "An offline LMI-based robust model predictive control of vehicle active suspension system with parameter uncertainty." Transactions of the Institute of Measurement and Control 41, no. 6 (2018): 1699–711. http://dx.doi.org/10.1177/0142331218787599.

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In vehicle active suspension design, it is desirable to improve performance criteria, such as ride comfort and road holding, subject to constraints on some states and control input. To tackle this constrained optimization problem, an offline robust model predictive control (RMPC) using linear matrix inequalities (LMIs) is proposed. In conventional model predictive control (MPC), an optimization problem is solved at each sampling interval, which might lead to task overrun and hence could prevent its real-time implementation. The proposed offline RMPC approach overcomes the problem by offline op

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5

Minh, Vu Trieu, and Fakhruldin Bin Mohd Hashim. "Robust Model Predictive Control Schemes for Tracking Setpoints." Journal of Control Science and Engineering 2010 (2010): 1–9. http://dx.doi.org/10.1155/2010/649461.

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This paper briefly reviews the development of nontracking robust model predictive control (RMPC) schemes for uncertain systems using linear matrix inequalities (LMIs) subject to input saturated and softened state constraints. Then we develop two new tracking setpoint RMPC schemes with common Lyapunov function and with zero terminal equality subject to input saturated and softened state constraints. The novel tracking setpoint RMPC schemes are able to stabilize uncertain systems once the output setpoints lead to the violation of the state constraints. The state violation can be regulated by cha

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Al-Azzawi, Waleed Khalid. "Artificial pancreas techniques based on robust model predictive controller." IAES International Journal of Robotics and Automation (IJRA) 8, no. 3 (2019): 189. http://dx.doi.org/10.11591/ijra.v8i3.pp189-193.

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Diabetes is known as the major cause of death in the world leading to kidney, retinopathy and cardiovascular diseases as well. In this paper, a Robust Model Predictive Controller (RMPC) is introduced to design artificial pancreas that solved the model uncertainty and keep the blood glucose level in the normal range by regulating the size of insulin infusion from pump based on RMPC. The simulation results will present a good performance of the proposed controller to avoid disturbance and robustness against uncertainties.

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7

Jarmolowitz, Fabian, Christopher Groß-Weege, Thomas Lammersen, and Dirk Abel. "Robust Output Model Predictive Control of an Unstable Rijke Tube." Journal of Combustion 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/927345.

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This work investigates the active control of an unstable Rijke tube using robust output model predictive control (RMPC). As internal model a polytopic linear system with constraints is assumed to account for uncertainties. For guaranteed stability, a linear state feedback controller is designed using linear matrix inequalities and used within a feedback formulation of the model predictive controller. For state estimation a robust gain-scheduled observer is developed. It is shown that the proposed RMPC ensures robust stability under constraints over the considered operating range.

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8

Wu, Xuan, Hui Wang, Xiaofang Yuan, Shoudao Huang, and Derong Luo. "Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/431734.

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In order to control the permanent-magnet synchronous motor system (PMSM) with different disturbances and nonlinearity, an improved current control algorithm for the PMSM systems using recursive model predictive control (RMPC) is developed in this paper. As the conventional MPC has to be computed online, its iterative computational procedure needs long computing time. To enhance computational speed, a recursive method based on recursive Levenberg-Marquardt algorithm (RLMA) and iterative learning control (ILC) is introduced to solve the learning issue in MPC. RMPC is able to significantly decrea

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9

Cavalca, Mariana Santos Matos, Roberto Kawakami Harrop Galvão, and Takashi Yoneyama. "Robust Model Predictive Control Using Linear Matrix Inequalities for the Treatment of Asymmetric Output Constraints." Journal of Control Science and Engineering 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/485784.

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One of the main advantages of predictive control approaches is the capability of dealing explicitly with constraints on the manipulated and output variables. However, if the predictive control formulation does not consider model uncertainties, then the constraint satisfaction may be compromised. A solution for this inconvenience is to use robust model predictive control (RMPC) strategies based on linear matrix inequalities (LMIs). However, LMI-based RMPC formulations typically consider only symmetric constraints. This paper proposes a method based on pseudoreferences to treat asymmetric output

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10

Daoud, R. M., S. I. Kolesnikov, A. A. Kuzina, K. Sh Kaseev, and Yu V. Akimenko. "Development of Regional Maximum Permissible Concentrations of Oil in the Soils of Arid Ecosystems in the South of Russia." Ecology and Industry of Russia 23, no. 9 (2019): 66–71. http://dx.doi.org/10.18412/1816-0395-2019-9-66-71.

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Objective difficulties and incorrect use of a single maximum permissible concentration of oil for all soils of Russia are considered. It is more expedient to use regional maximum permissible concentrations (RMPC) of oil in different soils of Russia, taking into account their regional ecological-genetic and ecological-geographical features. RMPC of oil in arid soils of the South of Russia was developed on the basis of violation of their ecosystem functions. Regional MPC of oil in dark chestnut soils (haplic kastanozems) is 0.40 % of oil in soil, chestnut (haplic kastanozems) and light chestnut

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11

Nguyen, Thi Lien, Yuuki Kawata, Kazuhiko Ishihara, and Shin-ichi Yusa. "Synthesis of Amphiphilic Statistical Copolymers Bearing Methoxyethyl and Phosphorylcholine Groups and Their Self-Association Behavior in Water." Polymers 12, no. 8 (2020): 1808. http://dx.doi.org/10.3390/polym12081808.

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Biocompatible amphiphilic statistical copolymers P(MEA/MPCm) composed of 2-methoxyethyl acrylate (MEA) and 2-methacryloyloxyethyl phosphorylcholine (MPC) were prepared with three different mol% of the hydrophilic unit MPC (m = 6, 12 and 46 mol%). The monomer reactivity ratios of MEA (rMEA) and MPC (rMPC) were 0.53 and 2.21, respectively. The rMEA × rMPC value of 1.17 demonstrated that statistical copolymerization was successful. P(MEA/MPC12) and P(MEA/MPC46) copolymers did not undergo aggregation in water, whereas the P(MEA/MPC6) copolymer formed micelles in water with a hydrodynamic radius (R

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Liu, Shuting, and Jiuxiang Dong. "Robust online model predictive control for image-based visual servoing in polar coordinates." Transactions of the Institute of Measurement and Control 42, no. 4 (2020): 890–903. http://dx.doi.org/10.1177/0142331219895074.

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In this paper, a novel robust online model predictive control (RMPC) method for image-based visual servoing (IBVS) in polar coordinates is proposed. First, the Jacobian matrix is transformed into a weighted combination of vertex matrices of convex polytopic by tensor product (TP) model transformation method. Then, a new IBVS control design condition for 6-DOF manipulator submitting to robot physical limitations and visibility constraints is obtained in polar coordinates by using RMPC technique. The optimal value of the control signal can be solved online when carrying out the convex optimizati

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13

Jiang, Wei, Hong-li Wang, Jing-hui Lu, Wei-wei Qin, and Guang-bin Cai. "Nonfragile Robust Model Predictive Control for Uncertain Constrained Systems with Time-Delay Compensation." Mathematical Problems in Engineering 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/1945964.

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This study investigates the problem of asymptotic stabilization for a class of discrete-time linear uncertain time-delayed systems with input constraints. Parametric uncertainty is assumed to be structured, and delay is assumed to be known. In Lyapunov stability theory framework, two synthesis schemes of designing nonfragile robust model predictive control (RMPC) with time-delay compensation are put forward, where the additive and the multiplicative gain perturbations are, respectively, considered. First, by designing appropriate Lyapunov-Krasovskii (L-K) functions, the robust performance inde

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14

Huang, Gongsheng, and Tin-Tai Chow. "Uncertainty shift in robust predictive control design for application in CAV air-conditioning systems." Building Services Engineering Research and Technology 32, no. 4 (2011): 329–43. http://dx.doi.org/10.1177/0143624411399686.

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Constant-air-volume (CAV) air-conditioning systems consist mainly of two local processes: an air-handling process and a room temperature process. A robust model predictive control (RMPC) strategy was developed for CAV air-conditioning systems, which adopted two uncertain first-order plus time-delay models to describe the dynamics of the local processes and used a linear matrix inequality (LMI)-based optimisation technique to optimise the control law. This paper develops a new control design, which reformulates the prediction models by shifting the uncertainties of the first model into the seco

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15

Stona, A. C., C. Kogan, J. Keeley, S. Evans, and G. Reed. "Étude de terrain sur les troubles de l’alimentation et des conduites alimentaires dans le cadre du développement de la CIM 11." European Psychiatry 29, S3 (2014): 568. http://dx.doi.org/10.1016/j.eurpsy.2014.09.249.

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ContexteDans le cadre du développement de la classification internationale des maladies (CIM-11), les groupes de travail ont développé des propositions avec pour objectif d’améliorer l’utilité clinique de la classification. Ces propositions sont testées via la plateforme internet « Réseau Mondial de Pratique Clinique (RMPC) » permettant de conduire à des études cliniques électroniques dans les langues officielles de l’OMS, dont le français. Cette étude s’intéresse aux catégories diagnostiques des troubles de l’alimentation et des conduites alimentaires (TCA). Des nouveaux diagnostics ont été p

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Shi, Huiyuan, Ping Li, Limin Wang, Chengli Su, Jingxian Yu, and Jiangtao Cao. "Delay-Range-Dependent Robust Constrained Model Predictive Control for Industrial Processes with Uncertainties and Unknown Disturbances." Complexity 2019 (January 15, 2019): 1–15. http://dx.doi.org/10.1155/2019/2152014.

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A delay-range-dependent robust constrained model predictive control is proposed for discrete-time system with uncertainties and unknown disturbances. The dynamic characteristic of the discrete-time system is established as a new extended state space model in which state variables and output tracking error are integrated and regulated independently. It is used as the design of control law of system, which cannot only guarantee the convergence and tracking performance but also offer more degrees of freedom for designed controller. Unlike the traditional robust model predictive control (RMPC), th

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17

Li, Dewei, Yugeng Xi, and Furong Gao. "Synthesis of dynamic output feedback RMPC with saturated inputs." Automatica 49, no. 4 (2013): 949–54. http://dx.doi.org/10.1016/j.automatica.2013.01.010.

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18

Mitsui, Ryoji, Yasuyoshi Sakai, Hisashi Yasueda, and Nobuo Kato. "A Novel Operon Encoding Formaldehyde Fixation: the Ribulose Monophosphate Pathway in the Gram-Positive Facultative Methylotrophic Bacterium Mycobacterium gastri MB19." Journal of Bacteriology 182, no. 4 (2000): 944–48. http://dx.doi.org/10.1128/jb.182.4.944-948.2000.

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ABSTRACT A 4.2-kb PstI fragment harboring the gene cluster of the ribulose monophosphate (RuMP) pathway for formaldehyde fixation was identified in the chromosome of a gram-positive, facultative methylotroph, Mycobacterium gastri MB19, by using the coding region of 3-hexulose-6-phosphate synthase (HPS) as the hybridization probe. The PstI fragment contained three complete open reading frames (ORFs) which encoded from the 5′ end, a DNA-binding regulatory protein (rmpR), 6-phospho-3-hexuloisomerase (PHI; rmpB), and HPS (rmpA). Sequence analysis suggested that rmpAand rmpB constitute an operon, a

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Hodgetts, Stuart I., Jun Han Yoon, Alysia Fogliani, et al. "Cortical AAV-CNTF Gene Therapy Combined with Intraspinal Mesenchymal Precursor Cell Transplantation Promotes Functional and Morphological Outcomes after Spinal Cord Injury in Adult Rats." Neural Plasticity 2018 (August 6, 2018): 1–15. http://dx.doi.org/10.1155/2018/9828725.

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Ciliary neurotrophic factor (CNTF) promotes survival and enhances long-distance regeneration of injured axons in parts of the adult CNS. Here we tested whether CNTF gene therapy targeting corticospinal neurons (CSN) in motor-related regions of the cerebral cortex promotes plasticity and regrowth of axons projecting into the female adult F344 rat spinal cord after moderate thoracic (T10) contusion injury (SCI). Cortical neurons were transduced with a bicistronic adeno-associated viral vector (AAV1) expressing a secretory form of CNTF coupled to mCHERRY (AAV-CNTFmCherry) or with control AAV only

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Théopihile, Maoudombaye, Mahamat Seid Ali, Gomoung Doloum, Ngatchic Metsagang Therese Josiane, and G. Ndoutamia. "An Evaluation of the Protein Digestibility of Flours and Derived Protein Rich Product of Three Varieties of Mucuna Pruriens (L.) From Rats (Rattus Norvegicus) Males in Growth." International Journal of Applied Sciences and Biotechnology 5, no. 3 (2017): 284–92. http://dx.doi.org/10.3126/ijasbt.v5i3.18119.

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The objective of the present study is to evaluate the proteinaceous digestibility of crude flours and derived protein rich product of three varieties of Mucuna pruriens of the male albino rats in growth. 48 rats have been taken randomly split up into 8 groups where 6 each according to their formulated feedings; those foods are: foods without protein (RSP), foods with casein (RC), food with the black macuna derived protein rich product (RMNc), food with the scratch macuna derived protein rich product (RMRc), food with the white macuna derived protein rich product (RMBc), food with the black mac

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21

Zhou, Feng, Peidong Zhu, Yemei Qin, and Yu Zheng. "An RBF-ARX Model-Based Variable-Gain Feedback RMPC Algorithm." IEEE Access 8 (2020): 107124–33. http://dx.doi.org/10.1109/access.2020.2999621.

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Shi, Ting, Renquan Lu, and Qiang Lv. "Robust static output feedback infinite horizon RMPC for linear uncertain systems." Journal of the Franklin Institute 353, no. 4 (2016): 891–902. http://dx.doi.org/10.1016/j.jfranklin.2016.01.012.

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Da Silva Moreira, Thalita Brenna, Marcus Vinicius Silverio Costa, and Fabricio Gonzalez Nogueira. "Output Feedback T-S Fuzzy RMPC Applied to 3SSC Boost Converter." IEEE Latin America Transactions 19, no. 9 (2021): 1520–27. http://dx.doi.org/10.1109/tla.2021.9468445.

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Nguyen, Tien Dung, Bich Hue Trieu, and Xuan Vu Nguyen. "Identification of Cis-regulator elements (CREs) of pollen-specific gene RMP1 and RMP2 in rice." Ministry of Science and Technology, Vietnam 63, no. 7 (2021): 48–52. http://dx.doi.org/10.31276/vjst.63(7).48-52.

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Tissue and organ-specific expression genes induced by Cis-regulator elements (CREs) are distributed in the promoter region of a gene. In rice, pollen-specific genes have been investigated to identify CREs related to specific expression in anther and pollen grain such as GTGANTG10, POLLEN1LELAT52... RMP1 and RMP2genes that specifically express the early stage of pollen development were analysed their promoter region using NEW PLACE and PlantCARE tools. Results showed that 80 CREs were located in the RMP1 promoter and 95 CREs in the RMP2. Among them, 6 CREs are abundant distribution with from 12

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Wang, Minghao. "An Off-line RMPC Algorithm for Uncertain Systems Using Polyhedral Invariant Sets." Journal of Information and Computational Science 10, no. 4 (2013): 1093–103. http://dx.doi.org/10.12733/jics20101491.

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Hu, Chaofang, Xianpeng Zhou, Yanli Ren, and Ye Tao. "Output feedback polytopic LPV Tube-RMPC control for air-breathing hypersonic vehicles." International Journal of Modelling, Identification and Control 28, no. 4 (2017): 336. http://dx.doi.org/10.1504/ijmic.2017.087052.

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Tao, Ye, Chaofang Hu, Yanli Ren, and Xianpeng Zhou. "Output feedback polytopic LPV Tube-RMPC control for air-breathing hypersonic vehicles." International Journal of Modelling, Identification and Control 28, no. 4 (2017): 336. http://dx.doi.org/10.1504/ijmic.2017.10007328.

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Shi, Ting, Zheng-Guang Wu, and Hongye Su. "Improved dynamic output feedback RMPC for linear uncertain systems with input constraints." International Journal of Robust and Nonlinear Control 26, no. 12 (2015): 2729–42. http://dx.doi.org/10.1002/rnc.3484.

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Yao, Deyin, Hamid Reza Karimi, Yiyong Sun, and Qing Lu. "Robust Model Predictive Control of Networked Control Systems under Input Constraints and Packet Dropouts." Abstract and Applied Analysis 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/478567.

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This paper deals with the problem of robust model predictive control (RMPC) for a class of linear time-varying systems with constraints and data losses. We take the polytopic uncertainties into account to describe the uncertain systems. First, we design a robust state observer by using the linear matrix inequality (LMI) constraints so that the original system state can be tracked. Second, the MPC gain is calculated by minimizing the upper bound of infinite horizon robust performance objective in terms of linear matrix inequality conditions. The method of robust MPC and state observer design is

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HUANG, He, De-Wei LI, and Yu-Geng XI. "On Design of Mixed H2/H∞RMPC Based on Multi-step Control Strategy." Acta Automatica Sinica 38, no. 6 (2012): 944. http://dx.doi.org/10.3724/sp.j.1004.2012.00944.

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El-Ferik, Sami. "RMPC for Uncertain Nonlinear Systems With Non-Additive Dynamic Disturbances and Noisy Measurements." IEEE Access 8 (2020): 44846–57. http://dx.doi.org/10.1109/access.2020.2975535.

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Wang, Jianhua, Yan Song, and Guoliang Wei. "Dynamic output-feedback RMPC for systems with polytopic uncertainties under Round-Robin protocol." Journal of the Franklin Institute 356, no. 4 (2019): 2421–39. http://dx.doi.org/10.1016/j.jfranklin.2018.10.035.

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Zheng, Pengyuan, Dewei Li, Yugeng Xi, and Jun Zhang. "Improved model prediction and RMPC design for LPV systems with bounded parameter changes." Automatica 49, no. 12 (2013): 3695–99. http://dx.doi.org/10.1016/j.automatica.2013.09.024.

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Zhu, Kaiqun, Yan Song, and Derui Ding. "Resilient RMPC for polytopic uncertain systems under TOD protocol: A switched system approach." International Journal of Robust and Nonlinear Control 28, no. 16 (2018): 5103–17. http://dx.doi.org/10.1002/rnc.4307.

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Wahid, Abdul, and Fazza Imanuddin Harsya Ramadhani. "PENGENDALIAN REAKTOR ALIR TANGKI BERPENGADUK MENGGUNAKAN REPRESENTATIVE MODEL PREDICTIVE CONTROL." SINERGI 19, no. 3 (2015): 227. http://dx.doi.org/10.22441/sinergi.2015.3.010.

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Permasalahan terbesar dalam pengendalian reaktor alir tangki berpengaduk adalah sistem yang sangat tidak linear dan multivariabel. Sistem pengendalian konvensional tidak dapat mengkontrol sistem semacam ini dengan optimal, sehingga kemurnian produk yang dihasilkan rendah. Multiple Model Predictive Control (MMPC) digunakan untuk mengatasi masalah pengendalian proses yang nonlinear dan melibatkan banyak variabel. Beberapa MPC lokal digunakan pada MMPC diperoleh dengan metode yang baru dikembangkan, Representative Model Predictive Control (RMPC). Penelitian ini menggunakan model reaktor alir tang

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Khani, Fatemeh, and Mohammad Haeri. "Enlarging the region of stability in robust model predictive controller based on dual-mode control." Transactions of the Institute of Measurement and Control 43, no. 14 (2021): 3085–92. http://dx.doi.org/10.1177/01423312211012362.

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Industrial processes are inherently nonlinear with input, state, and output constraints. A proper control system should handle these challenging control problems over a large operating region. The robust model predictive controller (RMPC) could be an linear matrix inequality (LMI)-based method that estimates stability region of the closed-loop system as an ellipsoid. This presentation, however, restricts confident application of the controller on systems with large operating regions. In this paper, a dual-mode control strategy is employed to enlarge the stability region in first place and then

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Qin, Wei-Wei, Gang Liu, Li-Xin Wang, and Zhi-Qiang Zheng. "Memory State Feedback RMPC for Multiple Time-Delayed Uncertain Linear Systems with Input Constraints." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/409863.

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This paper focuses on the problem of asymptotic stabilization for a class of discrete-time multiple time-delayed uncertain linear systems with input constraints. Then, based on the predictive control principle of receding horizon optimization, a delayed state dependent quadratic function is considered for incorporating MPC problem formulation. By developing a memory state feedback controller, the information of the delayed plant states can be taken into full consideration. The MPC problem is formulated to minimize the upper bound of infinite horizon cost that satisfies the sufficient condition

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Razi, Maryam, and Mohammad Haeri. "Design of an RMPC with a time-varying terminal constraint set for tracking problem." International Journal of Robust and Nonlinear Control 26, no. 12 (2015): 2623–42. http://dx.doi.org/10.1002/rnc.3464.

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Qin, Weiwei, Bing He, Pengtao Zhao, and Gang Liu. "An Improved Memory State Feedback RMPC for Uncertain Constrained Linear Systems with Multiple Uncertain Delays." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/659176.

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The problem of robust asymptotic stabilization is considered for a class of discrete-time uncertain linear systems with multiple uncertain time-delayed states and input constraints. Compared with other works in the literature, the proposed approach takes the information of the delayed states with the estimated time-delays indices into full consideration. Based on the predictive control principle of receding horizon optimization and Lyapunov stability theory combined with linear matrix inequalities (LMIs) techniques, a time-delayed state dependent quadratic function is considered for incorporat

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Liu, Shuai, Yan Song, Guoliang Wei, and Xuegang Huang. "RMPC-based security problem for polytopic uncertain system subject to deception attacks and persistent disturbances." IET Control Theory & Applications 11, no. 10 (2017): 1611–18. http://dx.doi.org/10.1049/iet-cta.2017.0153.

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Zheng, Pengyuan, Dewei Li, and Yugeng Xi. "Constrained feedback RMPC for LPV systems with bounded rates of parameter variations and measurement errors." International Journal of System Control and Information Processing 1, no. 2 (2012): 164. http://dx.doi.org/10.1504/ijscip.2012.052187.

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Han, Pu, Miao Liu, Dongfeng Wang, and Hao Jia. "Design of H2/H∞ RMPC for Boiler Superheated Steam Temperature Based on Memoryless Feedback Multistep Strategy." Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/2192393.

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The collection of superheated steam temperature models of a thermal power plant under different loads can be approximated to “multimodel” linear uncertain systems. After transformation, the tracking system was obtained from “multimodel” linear uncertain systems. For this tracking uncertain system, a mixed H2/H∞ robust model predictive control (HRMPC) based on a memoryless feedback multistep strategy is proposed. A multistep control strategy combines the advantages of predictive control rolling optimization with memoryless feedback control thoughts. It could effectively decrease the controller

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Liu, Shuai, Yan Song, Guoliang Wei, Derui Ding, and Yurong Liu. "Event-triggered dynamic output feedback RMPC for polytopic systems with redundant channels: Input-to-state stability." Journal of the Franklin Institute 354, no. 7 (2017): 2871–92. http://dx.doi.org/10.1016/j.jfranklin.2017.02.008.

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Wang, Jianhua, and Yan Song. "Resilient RMPC for Cyber-Physical Systems With Polytopic Uncertainties and State Saturation Under TOD Scheduling: An ADT Approach." IEEE Transactions on Industrial Informatics 16, no. 7 (2020): 4900–4908. http://dx.doi.org/10.1109/tii.2019.2938889.

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Moradi, Mohammad Hassan, and Farhad Amiri. "Virtual inertia control in islanded microgrid by using robust model predictive control (RMPC) with considering the time delay." Soft Computing 25, no. 8 (2021): 6653–63. http://dx.doi.org/10.1007/s00500-021-05662-z.

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Hamdi, Walid, Wissal Bey, and Naceur Benhadj Braiek. "Constrained Uncertain System Stabilization with Enlargement of Invariant Sets." Complexity 2020 (August 10, 2020): 1–11. http://dx.doi.org/10.1155/2020/1468109.

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An enhanced method able to perform accurate stability of constrained uncertain systems is presented. The main objective of this method is to compute a sequence of feedback control laws which stabilizes the closed-loop system. The proposed approach is based on robust model predictive control (RMPC) and enhanced maximized sets algorithm (EMSA), which are applied to improve the performance of the closed-loop system and achieve less conservative results. In fact, the proposed approach is split into two parts. The first is a method of enhanced maximized ellipsoidal invariant sets (EMES) based on a

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Yuan, Chen, Ya Mo, Jie Yang, Mei Zhang, and Xuejun Xie. "Influences of advanced glycosylation end products on the inner blood–retinal barrier in a co-culture cell model in vitro." Open Life Sciences 15, no. 1 (2020): 619–28. http://dx.doi.org/10.1515/biol-2020-0067.

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AbstractAdvanced glycosylation end products (AGEs) are harmful factors that can damage the inner blood–retinal barrier (iBRB). Rat retinal microvascular endothelial cells (RMECs) were isolated and cultured, and identified by anti-CD31 and von Willebrand factor polyclonal antibodies. Similarly, rat retinal Müller glial cells (RMGCs) were identified by H&E staining and with antibodies of glial fibrillary acidic protein and glutamine synthetase. The transepithelial electrical resistance (TEER) value was measured with a Millicell electrical resistance system to observe the leakage of the barri

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Garcia-Tirado, Jose, Patricio Colmegna, John P. Corbett, Basak Ozaslan, and Marc D. Breton. "In Silico Analysis of an Exercise-Safe Artificial Pancreas With Multistage Model Predictive Control and Insulin Safety System." Journal of Diabetes Science and Technology 13, no. 6 (2019): 1054–64. http://dx.doi.org/10.1177/1932296819879084.

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Background: Maintaining glycemic equilibrium can be challenging for people living with type 1 diabetes (T1D) as many factors (eg, length, type, duration, insulin on board, stress, and training) will impact the metabolic changes triggered by physical activity potentially leading to both hypoglycemia and hyperglycemia. Therefore, and despite the noted health benefits, many individuals with T1D do not exercise as much as their healthy peers. While technology advances have improved glucose control during and immediately after exercise, it remains one of the key limitations of artificial pancreas (

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Naghavi, S. Vahid, A. A. Safavi, Mohammad Hassan Khooban, S. Pourdehi, and Valiollah Ghaffari. "A robust control strategy for a class of distributed network with transmission delays." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 35, no. 5 (2016): 1786–813. http://dx.doi.org/10.1108/compel-08-2015-0287.

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Purpose The purpose of this paper is to concern the design of a robust model predictive controller for distributed networked systems with transmission delays. Design/methodology/approach The overall system is composed of a number of interconnected nonlinear subsystems with time-varying transmission delays. A distributed networked system with transmission delays is modeled as a nonlinear system with a time-varying delay. Time delays appear in distributed systems due to the information transmission in the communication network or transport of material between the sub-plants. In real applications

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Kolesnikov, S. I., N. I. Tsepina, L. V. Sudina, T. V. Minnikova, K. Sh Kazeev, and Yu V. Akimenko. "Silver Ecotoxicity Estimation by the Soil State Biological Indicators." Applied and Environmental Soil Science 2020 (June 9, 2020): 1–9. http://dx.doi.org/10.1155/2020/1207210.

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The use of silver in various spheres of life and production leads to an increase in environmental pollution, including soil. At the same time, the environmental consequences of silver pollution of soils have been studied to a much lesser extent than those of other heavy metals. The aim of this study is to estimate silver ecotoxicity using the soil state biological indicators. We studied soils that are significantly different in resistance to heavy metal pollution: ordinary chernozem (Haplic Chernozems, Loamic), sierosands (Haplic Arenosols, Eutric), and brown forest acidic soil (Haplic Cambiso

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