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Journal articles on the topic 'Sensitivity of optimum control'

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Published: 30 May 2022

Last updated: 31 May 2022

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1

Kajiwara, Itsurou, and Akio Nagamatsu. "Simultaneous optimum design of structure and control systems by sensitivity analysis." Finite Elements in Analysis and Design 14, no. 2-3 (October 1993): 187–95. http://dx.doi.org/10.1016/0168-874x(93)90019-m.

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2

Craven, B. D. "Optimal control on an infinite domain." ANZIAM Journal 47, no. 2 (October 2005): 143–53. http://dx.doi.org/10.1017/s1446181100009950.

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AbstractFor an optimal control problem with an infinite time horizon, assuming various terminal state conditions (or none), terminal conditions for the costate are obtained when the state and costate tend to limits with a suitable convergence rate. Under similar hypotheses, the sensitivity of the optimum to small perturbations is analysed, and in particular the stability of the optimum when the infinite horizon is truncated to a large finite horizon. An infinite horizon version of Pontryagin's principle is also obtained. The results apply to various economic models.

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3

Jalili, Nader, and Nejat Olgac. "A Sensitivity Study on Optimum Delayed Feedback Vibration Absorber." Journal of Dynamic Systems, Measurement, and Control 122, no. 2 (August 10, 1998): 314–21. http://dx.doi.org/10.1115/1.482457.

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A sensitivity analysis is presented for a novel tuned vibration absorber. The active tuning of the absorber is achieved using partial state feedback with a controlled time delay. The final structure, which is named Delayed Feedback Vibration Absorber (DFVA), is optimized to yield minimum Mpeak of the primary system involved for a given wide band of excitation frequencies. The optimization is performed over the absorber’s structural properties and the feedback control parameters. An optimal tuning over optimally designed passive absorber is conducted first, and separately a collective optimization over both the absorber structure and the control is studied. The assurance of the stability of the time-delayed system, which forms a critical constraint on the optimization, is also discussed. Regardless of the nature of the optimal operation, the parametric variations in the structure can influence the vibration absorption performance significantly. This concern is addressed via a sensitivity analysis. Primarily, the variations on the absorber stiffness and damping properties are studied. The findings of this effort provide tools for determining the acceptable tolerance limits of the absorber properties. [S0022-0434(00)02202-4]

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4

KAJIWARA, Itsurou, Tohru INAGAKI, and Akio NAGAMATSU. "Optimum Design of Vibration Control System using Modal Analysis and Sensitivity Analysis." Transactions of the Japan Society of Mechanical Engineers Series C 58, no. 552 (1992): 2365–72. http://dx.doi.org/10.1299/kikaic.58.2365.

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5

Xue, S. D., J. M. Ko, and Y. L. Xu. "Optimal Performance of the TLCD in Structural Pitching Vibration Control." Journal of Vibration and Control 8, no. 5 (May 2002): 619–42. http://dx.doi.org/10.1177/1077546029287.

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A detailed optimal parametric study is performed for a tuned liquid column damper (TLCD) in suppressing the pitching vibration of structures. Due to the difficulty of finding analytical solutions for the damped structure, a numerical optimization approach is proposed and applied to the system to find the optimum TLCD parameters. The variations of the optimum control parameter with system parameters are determined and discussed. Using various numerical searching data, a set of practical design formulas for the optimum tuning ratio and optimum head loss coefficient of the TLCD are then derived through regression analysis. The comparison between practical design formula and numerical optimization shows a very close agreement between the two results. The practical design formulas provide a convenient tool for designers. In order to account for the possible effects of structural uncertainties, a parametric sensitivity study on the de-tuning of optimum damper parameters is also carried out. It is found that the detuning effect is more severe for low damped structure with lower ratios of mass moment of inertia, especially for the detuning of tuning ratio.

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6

Ohsaki, M., and Tsuneyoshi Nakamura. "Optimum design with imperfection sensitivity coefficients for limit point loads." Structural Optimization 8, no. 2-3 (October 1994): 131–37. http://dx.doi.org/10.1007/bf01743310.

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7

Lowen, Philip D. "Parameter sensitivity in stochastic optimal control∗." Stochastics 22, no. 1 (September 1987): 1–40. http://dx.doi.org/10.1080/17442508708833465.

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8

Fonseca, Ijar M., and Peter M. Bainum. "Integrated Structural and Control Optimization." Journal of Vibration and Control 10, no. 10 (October 2004): 1377–91. http://dx.doi.org/10.1177/1077546304042043.

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This paper focuses on the integrated structural/control optimization of a large space structure with a robot arm subject to the gravity-gradient torque through a semi-analytical approach. It is well known that the computer effort to compute numerically derivatives of the constraints with respect to design variables makes the process expensive and time-consuming. In this sense, a semi-analytical approach may represent a good alternative when optimizing systems that require sensitivity calculations with respect to design parameters. In this study, constraints from the structure and control disciplines are imposed on the optimization process with the aim of obtaining the structure’s minimum weight and the optimum control performance. In the process optimization, the sensitivity of the constraints is computed by a semi-analytical approach. This approach combines the use of analytical derivatives of the mass and stiffness matrices with the numerical solution of the eigenvalue problem to obtain the eigenvalue derivative with respect to the design variables. The analytical derivatives are easy to obtain since our space structure is a long one-dimensional beam-like spacecraft.

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9

Kajiwara, I., and A. Nagamatsu. "Optimum Design of Optical Pick-Up by Elimination of Resonance Peaks." Journal of Vibration and Acoustics 115, no. 4 (October 1, 1993): 377–83. http://dx.doi.org/10.1115/1.2930360.

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A method for structural dynamic optimization is proposed using sensitivity analysis of resonance and anti-resonance frequencies. The sensitivity of the anti-resonance frequency is newly defined. An approach for eliminating the resonance peak from the frequency response function (FRF) is proposed using this sensitivity, modifying both the frequencies of this resonance and the neighboring anti-resonance bottom to the same value. The proposed method is applied to determine the optimum thickness of a plate in order to eliminate resonance peaks from its FRF. Effectiveness of this method is verified experimentally. Optimum design of an optical actuator for a compact disk player is performed practically by eliminating resonance peaks which deteriorates its servo control function. The player, with this optimized actuator, shows an excellent performance of sound playback.

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10

Moita, P. P., J. B. Cardoso, and A. J. Valido. "A Space-Time Finite Element Model for Design and Control Optimization of Nonlinear Dynamic Response." Shock and Vibration 15, no. 3-4 (2008): 307–14. http://dx.doi.org/10.1155/2008/721760.

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A design and control sensitivity analysis and multicriteria optimization formulation is derived for flexible mechanical systems. This formulation is implemented in an optimum design code and it is applied to the nonlinear dynamic response. By extending the spatial domain to the space-time domain and treating the design variables as control variables that do not change with time, the design space is included in the control space. Thus, one can unify in one single formulation the problems of optimum design and optimal control. Structural dimensions as well as lumped damping and stiffness parameters plus control driven forces, are considered as decision variables. The dynamic response and its sensitivity with respect to the design and control variables are discretized via space-time finite elements, and are integrated at-once, as it is traditionally used for static response. The adjoint system approach is used to determine the design sensitivities. Design optimization numerical examples are performed. Nonlinear programming and optimality criteria may be used for the optimization process. A normalized weighted bound formulation is used to handle multicriteria problems.

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11

Du, Lin, Manli Wang, Hui Li, Na Li, and Fang Wang. "Identification of CCL20 and LCN2 as Efficient Serological Tools for Detection of Hepatocellular Carcinoma." Disease Markers 2022 (March 10, 2022): 1–7. http://dx.doi.org/10.1155/2022/7758735.

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Objectives. To discover a more powerful diagnostic tool for the detection of hepatocellular carcinoma (HCC). Methods. 16 extracellularly located candidates were selected by analyzing the expression array datasets in GEO. 10 of them were validated in clinical samples by ELISA. Differences of each variable were compared by one-way ANOVA or Kruskal-Wallis test. CCL20 and LCN2 were determined in all samples (HCC, 167; liver cirrhosis, 106; and healthy control, 106) and finally chosen for the construction of the combination model by binary logistic regression. The models were first built using a comprehensive control, including both liver cirrhosis (LC) and healthy donors. Then, the models were rebuilt by using the LC group alone as a control. ROC analysis was performed to compare the diagnostic efficiency of each indicator. Results. Levels of CCL20 and LCN2 in HCC sera were significantly higher than those in all controls. Using the comprehensive control, ROC curves showed that the optimum diagnostic cutoff of the CCL20 and LCN2 combination was 0.443 (area under curve (AUC) of 0.927 (95% CI 0.896-0.951), sensitivity of 0.808, specificity of 0.892, and accuracy of 0.859). For detection of HCC from LC control, the optimum diagnostic cutoff was 0.590 (AUC of 0.919 (95% CI 0.880-0.948), sensitivity of 0.814, specificity of 0.868, and accuracy of 0.834). Furthermore, the model maintained diagnostic accuracy for patients with HCC in the early stage, with the sensitivity and specificity of 0.75 and 0.77 from LC control, yet the AFP only reached 0.5 and 0.67, respectively. Conclusion. A combination model composed of CCL20 and LCN2 may serve as a more efficient tool for distinguishing HCC from nonmalignant liver diseases.

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12

Busch, Florian A., and Rowan F. Sage. "The sensitivity of photosynthesis to O2and CO2concentration identifies strong Rubisco control above the thermal optimum." New Phytologist 213, no. 3 (October 21, 2016): 1036–51. http://dx.doi.org/10.1111/nph.14258.

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13

Kowalewski, Adam, Irena Lasiecka, and Jan Sokołowski. "Sensitivity analysis of hyperbolic optimal control problems." Computational Optimization and Applications 52, no. 1 (November 20, 2010): 147–79. http://dx.doi.org/10.1007/s10589-010-9375-x.

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14

KIM, Hyoung-Jin, Chongam KIM, and Oh-Hyun RHO. "Optimal Flow Control Using Unsteady Sensitivity Analysis." TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 48, no. 160 (2005): 102–9. http://dx.doi.org/10.2322/tjsass.48.102.

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15

Marinković, Boban. "Sensitivity analysis for discrete optimal control problems." Mathematical Methods of Operations Research 63, no. 3 (November 10, 2005): 513–24. http://dx.doi.org/10.1007/s00186-005-0029-1.

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16

Baldomir, Aitor, Santiago Hernandez, Jacobo Diaz, and Arturo Fontan. "Sensitivity analysis of optimum solutions by updating active constraints: application in aircraft structural design." Structural and Multidisciplinary Optimization 44, no. 6 (June 3, 2011): 797–814. http://dx.doi.org/10.1007/s00158-011-0665-4.

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17

Zhang, Chun Yu, Zhen Qing Wang, and Mu Qiao. "An Optimization Analysis of Prestressed Space Grid Structures Based on System Reliability." Advanced Materials Research 97-101 (March 2010): 3294–98. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3294.

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The system reliability of prestressed space grid structures were using as control parameters. Branch-bound method was used to determine main failure modes. The reliability of system was calculated by PNET method. Improved genetic algorithm was used in the minimum weight optimum design of the structure system under reliability constraint. Using this method, the complex sensitivity analysis of structural systems could be avoided and made optimum design of the structure system easy. The result of an example showed that the effectiveness of the method.

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18

de Sanctis, Massimo, Gianfranco Lovicu, Randa Ishak, Maria Richetta, and Alessandra Varone. "Novel Methodology for the Selection, Dosing and On-Line Control of Corrosion Inhibitors for Industrial Acid Pickling." Materials Science Forum 941 (December 2018): 1698–704. http://dx.doi.org/10.4028/www.scientific.net/msf.941.1698.

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A novel methodology based on electrochemical hydrogen permeation tests is proposed to study the efficiency of commercial inhibitors for industrial acid pickling of iron and mild steels. Weight loss measurements and hydrogen permeation tests have been carried out in order to compare the sensitivity of different techniques to variations of low inhibitor dosages. It has been found a close dependence between low amounts of filming inhibitors and hydrogen uptake in the metallic surface with related permeation currents. The high sensitivity of permeation currents may be very useful to establish and also control the optimum amount of active substances in industrial pickling baths, with related cost savings. The implementation of the proposed methodology to improve the control of industrial pickling plants is also envisaged, since it would be possible to improve both sensitivity and time response of experimental permeation curves.

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19

Mehrabi, Pouria, Justin Hui, Sajjad Janfaza, Allen O’Brien, Nishat Tasnim, Homayoun Najjaran, and Mina Hoorfar. "Fabrication of SnO2 Composite Nanofiber-Based Gas Sensor Using the Electrospinning Method for Tetrahydrocannabinol (THC) Detection." Micromachines 11, no. 2 (February 12, 2020): 190. http://dx.doi.org/10.3390/mi11020190.

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This paper presents the development of a metal oxide semiconductor (MOS) sensor for the detection of volatile organic compounds (VOCs) which are of great importance in many applications involving either control of hazardous chemicals or noninvasive diagnosis. In this study, the sensor is fabricated based on tin dioxide (SnO2) and poly(ethylene oxide) (PEO) using electrospinning. The sensitivity of the proposed sensor is further improved by calcination and gold doping. The gold doping of composite nanofibers is achieved using sputtering, and the calcination is performed using a high-temperature oven. The performance of the sensor with different doping thicknesses and different calcination temperatures is investigated to identify the optimum fabrication parameters resulting in high sensitivity. The optimum calcination temperature and duration are found to be 350 °C and 4 h, respectively and the optimum thickness of the gold dopant is found to be 10 nm. The sensor with the optimum fabrication process is then embedded in a microchannel coated with several metallic and polymeric layers. The performance of the sensor is compared with that of a commercial sensor. The comparison is performed for methanol and a mixture of methanol and tetrahydrocannabinol (THC) which is the primary psychoactive constituent of cannabis. It is shown that the proposed sensor outperforms the commercial sensor when it is embedded inside the channel.

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20

DONG, BO, XIAOFENG LU, ZHENYU LI, HONGNAN ZHANG, ZONGXIN WANG, CE WANG, and ZONGWEN LIU. "EFFECT OF THE THICKNESS OF PAN/Au MODIFIED ELECTRODE ON BIOSENSOR SENSITIVITY." Functional Materials Letters 05, no. 03 (September 2012): 1250035. http://dx.doi.org/10.1142/s179360471250035x.

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A simple electrospinning method was used to control the thickness of polyacrylonitrile (PAN)/Au modified electrode. The influence of membrane thickness to modified electrode sensitivity was discussed. In our experiment, a 20-min electrospinning time and a mass ratio of 3:1 PAN/ HAuCl4 are the optimum parameters to generate the high performance PAN/Au membrane modified electrode for detecting H 2 O 2 which has a sensitivity of 145.63 mA M-1 cm-2) and a wide linear range of 20 μM–20 mM.

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21

Odriozola, Juan, Sergio Beltrán, Montse Dalmau, Luis Sancho, Joaquim Comas, Ignasi Rodríguez-Roda, and Eduardo Ayesa. "Model-based methodology for the design of optimal control strategies in MBR plants." Water Science and Technology 75, no. 11 (March 3, 2017): 2546–53. http://dx.doi.org/10.2166/wst.2017.135.

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This paper proposes a model-based methodology that allows synthesising the most appropriate strategies for optimising the operation of wastewater treatment plants (WWTPs). The methodology is applied with the aim of maximising the nitrogen removal in membrane bioreactors (MBRs). The proposed procedure is based on a systematic approach composed of four steps. First, a sensitivity analysis of the input variables is carried out in order to obtain a first assessment of the potential for operational improvements. Then, the optimum input variable values are calculated by a model-based optimisation algorithm that minimises a cost function associated with the effluent total nitrogen at different temperatures. Then, the optimum operational strategies are identified. Finally, these operational strategies form the conceptual knowledge base for designing automatic control laws. The obtained optimal control strategies have shown a significant improvement in performance in comparison with fixed operation for the studied case, reducing the total nitrogen by 40%.

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22

T. Betts, John, Stephen L. Campbell, and Claire Digirolamo. "Initial guess sensitivity in computational optimal control problems." Numerical Algebra, Control & Optimization 10, no. 1 (2020): 39–41. http://dx.doi.org/10.3934/naco.2019031.

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23

Malanowski, Kazimierz, and Helmut Maurer. "Sensitivity analysis for state constrained optimal control problems." Discrete & Continuous Dynamical Systems - A 4, no. 2 (1998): 241–72. http://dx.doi.org/10.3934/dcds.1998.4.241.

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24

Ofiţeru, Irina Dana, Vasile Lavric, and Alexandru Woinaroschy. "Continuous hybridoma bioreactor: sensitivity analysis and optimal control." Biotechnology and Applied Biochemistry 44, no. 2 (July 1, 2006): 81. http://dx.doi.org/10.1042/ba20050222.

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25

Henze, Gregor P., Thoi H. Le, Anthony R. Florita, and Clemens Felsmann. "Sensitivity Analysis of Optimal Building Thermal Mass Control." Journal of Solar Energy Engineering 129, no. 4 (May 19, 2006): 473–85. http://dx.doi.org/10.1115/1.2770755.

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In order to avoid high utility demand charges from cooling during the summer and to level a building’s electrical demand profile, precooling of the building’s massive structure can be applied to shift cooling-related thermal loads in response to utility pricing signals. Several previous simulation and experimental studies have shown that proper precooling can attain considerable reduction of operating cost in buildings. This paper systematically evaluates the merits of the passive building thermal capacitance to minimize energy cost for a design day using optimal control. The evaluation is conducted by means of a sensitivity analysis utilizing a dynamic building energy simulation program coupled to a popular technical computing environment. The optimal controller predicts the required extent of precooling (zone temperature set-point depression), depending on the utility rate structure, occupancy and on-peak period duration and onset, internal gains, building mass, occupancy period temperature set-point range, and weather as characterized by diurnal temperature and relative humidity swings. In addition to quantifying the building response, energy consumption, and utility cost, this paper extracts the dominant features of the optimal precooling strategies for each of the investigated cases so that guidelines for near-optimal building thermal mass savings may be developed in the future.

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26

ROSEN, OSCAR, IMANUDIN, and REIN LUUS. "Final-state sensitivity for time-optimal control problems." International Journal of Control 45, no. 4 (April 1987): 1371–81. http://dx.doi.org/10.1080/00207178708933813.

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27

Bettiol, Piernicola, Hélène Frankowska, and Richard B. Vinter. "Improved Sensitivity Relations in State Constrained Optimal Control." Applied Mathematics & Optimization 71, no. 2 (July 10, 2014): 353–77. http://dx.doi.org/10.1007/s00245-014-9260-6.

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28

Bijwe, P. R., D. P. Kothari, J. Nanda, and K. S. Lingamurthy. "Optimal voltage control using a constant sensitivity matrix." Electric Power Systems Research 11, no. 3 (December 1986): 195–203. http://dx.doi.org/10.1016/0378-7796(86)90034-9.

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29

Toan, N. T., and L. Q. Thuy. "Sensitivity Analysis of Multi-objective Optimal Control Problems." Applied Mathematics & Optimization 84, no. 3 (February 18, 2021): 3517–45. http://dx.doi.org/10.1007/s00245-021-09755-x.

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30

Bizon, Nicu, Alin Gheorghita Mazare, Laurentiu Mihai Ionescu, Phatiphat Thounthong, Erol Kurt, Mihai Oproescu, Gheorghe Serban, and Ioan Lita. "Better Fuel Economy by Optimizing Airflow of the Fuel Cell Hybrid Power Systems Using Fuel Flow-Based Load-Following Control." Energies 12, no. 14 (July 19, 2019): 2792. http://dx.doi.org/10.3390/en12142792.

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In this paper, the results of the sensitivity analysis applied to a fuel cell hybrid power system using a fuel economy strategy is analyzed in order to select the best values of the parameters involved in fuel consumption optimization. The fuel economy strategy uses the fuel and air flow rates to efficiently operate the proton-exchange membrane (PEM) fuel cell (FC) system based on the load-following control and the global extremum seeking (GES) algorithm. The load-following control will ensure the charge-sustained mode for the batteries’ stack, improving its lifetime. The optimization function’s optimum, which is defined to improve the fuel economy, will be tracked in real-time by two GES algorithms that will generate the references for the controller of the boost DC-DC converter and air regulator. The optimization function and performance indicators (such as FC net power, FC electrical efficiency, fuel efficiency, and fuel economy) have a multimodal behavior in dithers’ frequency. Furthermore, the optimum in the considered range of frequencies depends on the load level. So, the best value could be selected as the frequency where the optimum is obtained for the most load levels. Considering a dither frequency of 100 Hz selected as the best value, the sensitivity analysis of the fuel economy is further analyzed for different values of the weighting parameter keff, highlighting the multimodal feature in the parameters for the optimization function and fuel economy as well. A keff value around of 20 lpm/W seems to give the best fuel economy in the full range of load.

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Uray, Esra, Serdar Carbas, Zong Woo Geem, and Sanghun Kim. "Parameters Optimization of Taguchi Method Integrated Hybrid Harmony Search Algorithm for Engineering Design Problems." Mathematics 10, no. 3 (January 21, 2022): 327. http://dx.doi.org/10.3390/math10030327.

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Performance of convergence to the optimum value is not completely a known process due to characteristics of the considered design problem and floating values of optimization algorithm control parameters. However, increasing robustness and effectiveness of an optimization algorithm may be possible statistically by estimating proper algorithm parameters values. Not only the algorithm which utilizes these estimated-proper algorithm parameter values may enable to find the best fitness in a shorter time, but also it may supply the optimum searching process with a pragmatical manner. This study focuses on the statistical investigation of the optimum values for the control parameters of the harmony search algorithm and their effects on the best solution. For this purpose, the Taguchi method integrated hybrid harmony search algorithm has been presented as an alternative method for optimization analyses instead of sensitivity analyses which are generally used for the investigation of the proper algorithm parameters. The harmony memory size, the harmony memory considering rate, the pitch adjustment rate, the maximum iteration number, and the independent run number of entire iterations have been debated as the algorithm control parameters of the harmony search algorithm. To observe the effects of design problem characteristics on control parameters, the new hybrid method has been applied to different engineering optimization problems including several engineering-optimization examples and a real-size engineering optimization design. End of extensive optimization and statistical analyses to achieve optimum values of control parameters providing rapid convergence to optimum fitness value and handling constraints have been estimated with reasonable relative errors. Employing the Taguchi method integrated hybrid harmony search algorithm in parameter optimization has been demonstrated as it is a reliable and efficient manner to obtain the optimum results with fewer numbers of run and iteration.

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32

Malanowski, Kazimierz. "Stability and sensitivity analysis for optimal control problems with control-state constraints." Dissertationes Mathematicae 394 (2001): 1–51. http://dx.doi.org/10.4064/dm394-0-1.

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Sokołowski, Jan. "Sensitivity Analysis of Control Constrained Optimal Control Problems for Distributed Parameter Systems." SIAM Journal on Control and Optimization 25, no. 6 (November 1987): 1542–56. http://dx.doi.org/10.1137/0325085.

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34

Liu, Wei Wei, Dong Fang Wang, Feng Li, Hao Chen, Cheng Zhou Wang, and Jun Xue Ren. "Research on Milling Parameters Optimization Based on Surface Residual Stress for Aviation Stainless Steel." Applied Mechanics and Materials 526 (February 2014): 3–8. http://dx.doi.org/10.4028/www.scientific.net/amm.526.3.

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In order to control surface residual stress in milling aviation stainless steel, orthogonal experiments were conducted to investigate the effects of milling parameters on surface residual stress in milling of 1Cr11Ni2W2MoV. The empirical formula of surface residual stress was established to analyze the sensitivity of surface residual stress on milling parameters. The milling parameters stability region and instability region were acquired. Using the extreme difference analysis method, the optimum selection of the milling parameters interval was proceeded. The results show that residual stress along X direction is most sensitive to the feed per tooth, residual stress along Y direction is most sensitive to the milling speed. The optimum milling speed ranges from 25m/min to 40m/min, the optimum milling depth ranges from 0.4mm to 0.45mm, and the optimum feed per tooth ranges from 0.06 mm/z to 0.08mm/z, surface residual stress can be effectively controlled.

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35

Precup, Radu-Emil, and Stefan Preitl. "Control solutions in mechatronics systems." Facta universitatis - series: Electronics and Energetics 18, no. 3 (2005): 379–94. http://dx.doi.org/10.2298/fuee0503379p.

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This paper presents control solutions dedicated to a class of controlled plants widely used in mechatronics systems, characterized by simplified mathematical models of second-order and third-order plus integral type. The conventional control solution is focused on the Extended Symmetrical Optimum method proposed by the authors in 1996. There are proposed six fuzzy control solutions employing PI-fuzzy controllers. These solutions are based on the approximate equivalence in certain conditions between fuzzy control systems and linear ones, on the application of the modal equivalence principle, and on the transfer of results from the continuous-time conventional solution to the fuzzy solutions via a discrete-time expression of the controller where Prof. Milic R. Stojic's book [1] is used. There is performed the sensitivity analysis of the fuzzy control systems with respect to the parametric variations of the controlled plant, which enables the development of the fuzzy controllers. In addition, the paper presents aspects concerning Iterative Feedback Tuning and Iterative Learning Control in the framework of fuzzy control systems. The theoretical results are validated by considering a real-world application.

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36

Badhwar, Shruti, and K. S. Narayan. "Optimum Design of Organic Electrochemical Type Transistors for Applications in Biochemical Sensing." Journal of Sensors 2008 (2008): 1–5. http://dx.doi.org/10.1155/2008/702161.

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This paper addresses the issue of optimizing various performance parameters involved in the design of organic electrochemical type transistors based on the conducting polymer, poly (3,4-ethylenedioxythiophene): poly(styrene sulfonate)(PEDOT:PSS) for applications in biochemical sensing. We report the effect of device contact geometry, gate to channel length ratio “Lg/L,” and analyte distance from the source electrode “x,” on the device sensitivity and response time.

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Zamir, Muhammad, Gul Zaman, and Ali Saleh Alshomrani. "Sensitivity Analysis and Optimal Control of Anthroponotic Cutaneous Leishmania." PLOS ONE 11, no. 8 (August 9, 2016): e0160513. http://dx.doi.org/10.1371/journal.pone.0160513.

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38

BABAD, H. R., and R. B. VINTER. "Sensitivity interpretations of the costate function of optimal control." IMA Journal of Mathematical Control and Information 10, no. 1 (1993): 21–31. http://dx.doi.org/10.1093/imamci/10.1.21.

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39

NIKOLAOU, M., and V. MANOUSIOUTHAKIS. "SENSITIVITY ANALYSIS OF OPTIMAL CONTROL POLICIES FOR BATCH PROCESSES." Chemical Engineering Communications 97, no. 1 (November 1990): 27–45. http://dx.doi.org/10.1080/00986449008911502.

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40

Lasiecka, Irena, and Jan Sokołowski. "Sensitivity Analysis of Optimal Control Problems for Wave Equations." SIAM Journal on Control and Optimization 29, no. 5 (September 1991): 1128–49. http://dx.doi.org/10.1137/0329060.

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41

Clarke, F. H., and P. R. Wolenski. "The Sensitivity of Optimal Control Problems to Time Delay." SIAM Journal on Control and Optimization 29, no. 5 (September 1991): 1176–215. http://dx.doi.org/10.1137/0329063.

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Backhoff, J., and F. J. Silva. "Sensitivity results in stochastic optimal control: A Lagrangian perspective." ESAIM: Control, Optimisation and Calculus of Variations 23, no. 1 (June 23, 2016): 39–70. http://dx.doi.org/10.1051/cocv/2015039.

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Bulinskaya, Ekaterina, and Julia Gusak. "Optimal Control and Sensitivity Analysis for Two Risk Models." Communications in Statistics - Simulation and Computation 45, no. 5 (August 21, 2014): 1451–66. http://dx.doi.org/10.1080/03610918.2014.930904.

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Stigter, J. D., and K. J. Keesman. "Optimal parametric sensitivity control of a fed-batch reactor." Automatica 40, no. 8 (August 2004): 1459–64. http://dx.doi.org/10.1016/j.automatica.2004.03.007.

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Sternberg, Kati, and Christof Büskens. "Optimal Control and Parametric Sensitivity Analysis in Cancer Chemotherapy." PAMM 3, no. 1 (December 2003): 525–26. http://dx.doi.org/10.1002/pamm.200310532.

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Wang, Bolin, Mingang Zhai, Xiaofei Yao, Qing Wu, Min Yang, Xiangyu Wang, Jizhuo Huang, and Hongyu Zhao. "Printable and Mechanical Performance of 3D Printed Concrete Employing Multiple Industrial Wastes." Buildings 12, no. 3 (March 17, 2022): 374. http://dx.doi.org/10.3390/buildings12030374.

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Three-dimensional concrete printing is a promising technology and attracts the significant attention of research and industry. However, printable and mechanical capacities are required for 3D printable cementitious materials. Moreover, the quantitative analysis methods of printable performance are limited and have low sensitivity. In this study, the orthogonal experiment through samples combining 3D concrete printing method with fly ash, silica fume, and ground granulated blast furnace slag was designed to obtain the printable and mechanical property influence of various mix proportions. Furthermore, multiple industrial wastes were utilized to improve material sustainability. Meanwhile, the static and dynamic extrusion pressure measured by the original 3D printing extrudability tester were verified to achieve a high-sensitivity evaluating indicator. Thereby, a novel high-sensitivity quantitative analysis method of printable capacity was established to explore the influence of industrial wastes usage on the printability of 3D printable mortars. The optimum dosage of fly ash, silica fume, and ground granulated blast furnace slag was 20 wt.%, 15 wt.%, and 10 wt.%, respectively, based on printable and mechanical property experiments. Furthermore, the optimum dosage was employed to print the sample and achieved a higher compressive strength (56.3 MPa) than the control cast.

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Martins, Alberto M. B., Luís M. C. Simões, João H. J. O. Negrão, and Adelino V. Lopes. "Sensitivity analysis and optimum design of reinforced concrete frames according to Eurocode 2." Engineering Optimization 52, no. 12 (December 18, 2019): 2011–32. http://dx.doi.org/10.1080/0305215x.2019.1693554.

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Gunawan, S., and S. Azarm. "A Feasibility Robust Optimization Method Using Sensitivity Region Concept." Journal of Mechanical Design 127, no. 5 (October 28, 2004): 858–65. http://dx.doi.org/10.1115/1.1903000.

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We present a robust optimization method that ensures feasibility of an optimized design when there are uncontrollable variations in design parameters. This method is developed based on the notion of a sensitivity region, which is a measure of how far a feasible design is from the boundary of a feasible domain in the parameter variation space. In this method, as the design moves further inside the feasible domain, and thus becoming more feasibly robust, the sensitivity region becomes larger. Our method is not sampling based so it does not require a presumed probability distribution as input and is reasonably efficient in terms of function evaluations. In addition, our method does not use gradient approximation and thus is applicable to problems that have nondifferentiable constraint functions and large parameter variations. As a demonstration, we applied our method to an engineering example, the design of a control valve actuator linkage. In this example, we show that our method finds an optimum design which is feasibly robust.

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Lindquist, John L., Bruce D. Maxwell, Douglas D. Buhler, and Jeffrey L. Gunsolus. "Modeling the Population Dynamics and Economics of Velvetleaf (Abutilon theophrasti) Control in a Corn (Zea mays)-Soybean (Glycine max) Rotation." Weed Science 43, no. 2 (June 1995): 269–75. http://dx.doi.org/10.1017/s0043174500081169.

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A simulation model was developed to predict the population dynamics and economics of velvetleaf control in a corn-soybean rotation. Data compiled from the literature were used to parameterize the model for two situations, one in which velvetleaf was infected by aVerticilliumspp. wilt and one without infection.Verticilliumwas assumed to have no effect on corn or soybean yield. In the absence of control, simulated seedbank densities of aVerticillium-infected velvetleaf population were 5 to 50 times lower than for an uninfected velvetleaf population. The model was used to evaluate a threshold weed management strategy under the assumption that velvetleaf was the only weed and bentazon the only herbicide available for its control. In the absence ofVerticillium, an economic optimum threshold of 2.5 seedlings 100 m−2afforded the highest economic returns after 20 yr of simulation. Simulations in which velvetleaf was infected in 8 out of 20 randomly assigned years indicated a 6% increase in annualized net return and an 11 % reduction in the number of years that control was necessary. Sensitivity analysis indicated the parameter estimates having the greatest impact on economic optimum threshold were seedling emergence and survival, maximum seed production, and herbicide efficacy. Under an economic optimum threshold of 2.5 seedlings 100 m−2, management practices that manipulate the most sensitive demographic processes increased annualized net return by up to 13% and reduced long-term herbicide use by up to 26%. Results demonstrate that combining an economic optimum threshold with alternative weed management strategies may increase economic return and reduce herbicide use.

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Ahmed, Heba A., Ahmed M. Maklad, and Ashraf Elyamany. "Role of IL27 and IL35 as biomarkers and potential targets in acute myeloid leukemia." Journal of Clinical Oncology 37, no. 15_suppl (May 20, 2019): e18516-e18516. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e18516.

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e18516 Background: Acute myeloid leukemia (AML) is one of the most common leukemia affecting adult. Regulatory T cells (Tregs) are a subset of CD4 (+) T cells that plays a central role immune tolerance. Objective: We aimed to explore the role of interleukin- 27 (IL27) & interleukin- 35 (IL35) produced by T regs and its associations with clinical characteristics and prognostic markers of AML patients. Methods: The study included 70 patients with acute myeloid leukemia (AML) and 30 healthy controls. We used flowcytometry immunophenotyping to confirm the diagnosis of AML. Serum level of interleukin- 27 (IL 27) & interleukin- 35 (IL 35) were measured at diagnosis by enzyme-linked immunosorbentassay (ELISA). Results: Higher levels of IL27 and IL35 were detected in AML patients than the control group (p ≤ 0.001). We used Receiver operating characteristic (ROC) analysis for detection of optimum IL27 & IL35 cut off level needed for predicting AML. ROC curve analysis demonstrated IL27 optimum cutoff is > 43, AUC 0.926 with a sensitivity 74% and Specificity 96.6% (P-value <0.00). IL35 optimum cutoff was > 27.8 AUC 0.972 with 88% and 98% sensitivity and specificity respectively (P-value <0.001). Serum IL27 & IL35 could well identify AML patients from healthy individuals. More importantly IL27 & IL35 correlated with clinical variable, and could be served as an independent prognostic factor. Conclusions: IL27 & IL 35 might have an application as a diagnostic and prognostic indicator for AML patients and could be served as an independent prognostic factor.

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