Journal articles: 'Optimal control designs'

1

Chen, Kani. "Optimal sequential designs of case-control studies." Annals of Statistics 28, no. 5 (October 2000): 1452–71. http://dx.doi.org/10.1214/aos/1015957402.

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Mukkula, Anwesh Reddy Gottu, and Radoslav Paulen. "Robust design of optimal experiments considering consecutive re-designs." IFAC-PapersOnLine 55, no. 7 (2022): 13–18. http://dx.doi.org/10.1016/j.ifacol.2022.07.415.

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Wu, Z., M. Shamsuzzaman, and Q. Wang. "Designs of control charts with optimal manpower deployment." International Journal of Production Research 44, no. 11 (June 2006): 2119–32. http://dx.doi.org/10.1080/00207540500478413.

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Chen, Tongwen, and Bruce A. Francis. "H∞-optimal sampled-data control: Computation and designs." Automatica 32, no. 2 (February 1996): 223–28. http://dx.doi.org/10.1016/0005-1098(96)85551-8.

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Lee, Feng-Chi, Yuan-Wei Tseng, Rong-Ching Wu, Wen-Chuan Chen, and Chin-Sheng Chen. "Inverse Optimal Control in State Derivative Space System with Applications in Motor Control." Energies 14, no. 6 (March 23, 2021): 1775. http://dx.doi.org/10.3390/en14061775.

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This paper mathematically explains how state derivative space (SDS) system form with state derivative related feedback can supplement standard state space system with state related feedback in control designs. Practically, inverse optimal control is attractive because it can construct a stable closed-loop system while optimal control may not have exact solution. Unlike the previous algorithms which mainly applied state feedback, in this paper inverse optimal control are carried out utilizing state derivative alone in SDS system. The effectiveness of proposed algorithms are verified by design examples of DC motor tracking control without tachometer and very challenging control problem of singular system with impulse mode. Feedback of direct measurement of state derivatives without integrations can simplify implementation and reduce cost. In addition, the proposed design methods in SDS system with state derivative feedback are analogous to those in state space system with state feedback. Furthermore, with state derivative feedback control in SDS system, wider range of problems such as singular system control can be handled effectively. These are main advantages of carrying out control designs in SDS system.

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PUIGJANER, J., M. CASCANTE, and A. SORRIBAS. "ASSESSING OPTIMAL DESIGNS IN METABOLIC PATHWAYS." Journal of Biological Systems 03, no. 01 (March 1995): 197–206. http://dx.doi.org/10.1142/s0218339095000198.

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The evolution of metabolic pathways is characterized by the search of the optimum reaction network, both as for chemical transformations and for the associated pattern of regulation. Understanding this process requires the evaluation of alternative designs for a given function. After this evaluation, we would be in a good situation for drawing general conclusions on the evolution of the considered system. This goal can be undertaken by means of different complementary approaches. The method of Control Comparisons, first developed within Biochemical Systems Analysis, has produced some valuable insights on this kind of problems. In this contribution, we present this method within the context of Metabolic Control Analysis.

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Abdul-Wahab, A. A. A. "Robustness measure bounds for optimal model matching control designs." IEEE Transactions on Automatic Control 33, no. 12 (1988): 1178–80. http://dx.doi.org/10.1109/9.14447.

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Bau, Uwe, Pooya Hoseinpoori, Stefan Graf, Heike Schreiber, Franz Lanzerath, Christian Kirches, and André Bardow. "Dynamic optimisation of adsorber-bed designs ensuring optimal control." Applied Thermal Engineering 125 (October 2017): 1565–76. http://dx.doi.org/10.1016/j.applthermaleng.2017.07.073.

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Likaj, Rame, and Ahmet Shala. "Optimisation and Control of Vehicle Suspension Using Linear Quadratic Gaussian Control." Strojnícky casopis – Journal of Mechanical Engineering 68, no. 1 (April 1, 2018): 61–68. http://dx.doi.org/10.2478/scjme-2018-0006.

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Abstract The paper deals with the optimal design and analysis of quarter car vehicle suspension system based on the theory of linear optimal control because Linear Quadratic Gaussian (LQG) offers the possibility to emphasize quantifiable issues like ride comfort or road holding very easily by altering the weighting factor of a quadratic criterion. The theory used assumes that the plant (vehicle model + road unevenness model) is excited by white noise with Gaussian distribution. The term quadratic is related to a quadratic goal function. The goal function is chosen to provide the possibility to emphasize three main objectives of vehicle suspensions; ride comfort, suspension travel and road holding. Minimization of this quadratic goal function results in a law of feedback control. For optimal designs are used the optimal parameters which have been derived by comparison of two optimisation algorithms: Sequential Quadratic Program (SQP) and Genetic Algorithms (GA's), for a five chosen design parameters. LQG control is considered to control active suspension for the optimal parameters derived by GA's, while the main focus is to minimise the vertical vehicle body acceleration

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Reddy, Yiza-srikanth, and Sung-ho Hur. "Comparison of Optimal Control Designs for a 5 MW Wind Turbine." Applied Sciences 11, no. 18 (September 21, 2021): 8774. http://dx.doi.org/10.3390/app11188774.

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Optimal controllers, namely Model Predictive Control (MPC), H∞ Control (H∞), and Linear Quadratic Gaussian control (LQG), are designed for a 5 MW horizontal-axis variable-speed wind turbine. The control design models required as part of the optimal control design are obtained by using a high fidelity aeroelastic model (i.e., DNV Bladed). The optimal controllers are eventually designed in three operating modes: below-rated, just below-rated, and above rated-wind speeds, based on linearized control design models. The linearized models are reduced by using a model reduction technique to facilitate the design of optimal controllers. The controllers are analyzed not only in the time domain but also in the frequency domain and on the torque/speed plane. Simulation results demonstrated that optimal controllers perform better than the standard proportional-integral-derivative (PID) controller, particularly for removing oscillation due to the drive-train mode without incorporating a drive-train damper.

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Dette, Holger, Christine Kiss, Norbert Benda, and Frank Bretz. "Optimal designs for dose finding studies with an active control." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 76, no. 1 (August 12, 2013): 265–95. http://dx.doi.org/10.1111/rssb.12030.

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Shamsuzzaman, M., Zhang Wu, and M. Reaz-us Salam Elias. "Designs of &S control charts with optimal manpower deployment." Computers & Industrial Engineering 56, no. 4 (May 2009): 1589–96. http://dx.doi.org/10.1016/j.cie.2008.10.007.

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Annaswamy, A. M., M. Fleifil, J. W. Rumsey, R. Prasanth, J. P. Hathout, and A. F. Ghoniem. "Thermoacoustic instability: model-based optimal control designs and experimental validation." IEEE Transactions on Control Systems Technology 8, no. 6 (2000): 905–18. http://dx.doi.org/10.1109/87.880593.

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14

Chang, C. C. "Mass dampers and their optimal designs for building vibration control." Engineering Structures 21, no. 5 (May 1999): 454–63. http://dx.doi.org/10.1016/s0141-0296(97)00213-7.

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15

Blanck, N. E. "Two Time-Variant Control Designs for a Manipulator: Optimal Control and Pole-Placement." IFAC Proceedings Volumes 19, no. 14 (December 1986): 199–203. http://dx.doi.org/10.1016/s1474-6670(17)59477-x.

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Chen, Yung-Yue, Tzu-Ching Chang, Yung Hsiang Chen, and Qi-Xian Chen. "Nonlinear hybrid control design of three-joint dual finger robots." International Journal of Advanced Robotic Systems 14, no. 1 (January 1, 2017): 172988141668712. http://dx.doi.org/10.1177/1729881416687129.

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The difficulty of finger robot grasping control designs is the inevitable coupling in the dynamics of finger joints and finger tips because this dynamics coupling effect lets the overall motion of the finger robots to be constrained by the object states when they are controlled to manipulate an object’s postures. Besides, from the practical implementation point of view, a stable and easy-to-implement control structure is also an important task for this topic. For solving these two design issues, an optimal hybrid control design which combines feedback linearization and nonlinear H2 control concepts for grasping design of three-joint dual finger robots is investigated in this study. This investigation makes two main contributions to the finger robot grasping control design: (1) an effective and acceptable control performance for finger robot grasping control designs under the effect of dynamics coupling is delivered and (2) a really simple nonlinear optimal control scheme is obtained.

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Carbonell, Pablo, Jean-Loup Faulon, and Rainer Breitling. "Efficient learning in metabolic pathway designs through optimal assembling." IFAC-PapersOnLine 52, no. 26 (2019): 7–12. http://dx.doi.org/10.1016/j.ifacol.2019.12.228.

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Parker, J. K., and F. W. Paul. "Controlling Impact Forces in Pneumatic Robot Hand Designs." Journal of Dynamic Systems, Measurement, and Control 109, no. 4 (December 1, 1987): 328–34. http://dx.doi.org/10.1115/1.3143862.

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Robot hands capable of applying controllable forces to a wide variety of objects would increase the number of robotic applications in manufacturing. One frequently overlooked part of the force control problem is the initial impact between the robot hand “finger” and the object. Experimentally determined impact forces for a variety of hand fingertip and object surface stiffnesses are presented. Impact forces predicted from low order, lumped parameter linear models are also presented for comparison. These results are used to justify velocity control as the means for reducing impact forces. Minimum time optimal control of a robot hand finger with a zero final velocity constraint would give rapid grasping with zero impact force between the finger and object. Experimental and numerical optimal control results for a pneumatically actuated finger are presented. A proof-of-concept robot hand which implements a “near-optimal” control strategy for grasping objects at imprecisely known locations is presented and discussed with experimental results.

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19

Grigoriadis, K. M., G. Zhu, and R. E. Skelton. "Optimal Redesign of Linear Systems." Journal of Dynamic Systems, Measurement, and Control 118, no. 3 (September 1, 1996): 598–605. http://dx.doi.org/10.1115/1.2801186.

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This paper proposes a redesign procedure for linear systems. We suppose that an initial satisfactory controller which yields the desired performance is given. Then both the plant and the controller are redesigned to minimize the required active control effort. Either the closed-loop system matrix or the closed-loop covariance matrix of the initial design can be preserved under the redesign. Convex quadratic programming solves this problem. In addition, an iterative approach for integrated plant and controller design is proposed, which uses the above optimal plant/controller redesign in each iterative step. The algorithm has guaranteed convergence and provides a sequence of designs with monotonically decreasing active control effort. Examples are included to illustrate the procedure.

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LEE, M. H., and MICHAEL B. C. KHOO. "OPTIMAL STATISTICAL DESIGNS OF A MULTIVARIATE CUSUM CHART BASED ON ARL AND MRL." International Journal of Reliability, Quality and Safety Engineering 13, no. 05 (October 2006): 479–97. http://dx.doi.org/10.1142/s0218539306002380.

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Optimal statistical designs of the multivariate CUSUM (MCUSUM) chart for multivariate individual observations based on ARL and MRL are proposed. Statistical design procedures refer to choices of the reference value, k and the control limit, H to ensure that the MCUSUM chart's performance meets certain statistical criteria. The primary criterion is the average run length (ARL) which is the most commonly used measure of a control chart's performance, while the median run length (MRL) which is the 50th percentage point of the run length distribution is suggested to be used as a potential alternative to the ARL or as a secondary criterion in the evaluation of the performance of the MCUSUM control chart. Although the MRL is used in the optimal design of the univariate EWMA and univariate CUSUM charts but the design of an optimal multivariate CUSUM chart based on MRL is not yet given in any literature. This paper also suggests a systematic approach of designing an optimal MCUSUM chart based on the average run length (ARL). The MRL profiles are considered as supplements to the ARL profiles for the control scheme. Examples of optimal designs of the MCUSUM chart based on both MRL and ARL are also presented. Tables are provided to determine the optimal chart parameters for the design of the chart based on both ARL and MRL.

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21

Cheng, Yu, Hong Wei Zhao, Song Wang, Wei Lv, and Tao Sun. "A Software Design of Data Acquisition System Based on Optimal Control AMT." Advanced Materials Research 765-767 (September 2013): 1969–73. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1969.

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As the developing of the automatic manipulate control technique of automobile, the research and development of Automated Transmission have abstracted more and more attention. In numerous Automated Transmission productions, AMT (Automated Mechanical Transmission) plays an absolutely important role. This system is a AMT data collection system based on electro-hydraulic control. According to the design of the system software program, we can collect and analyze the data of driving, and then mark the electro-hydraulic valve. This paper designs and realizes the total structure of data collection and processing system, analyses and designs the function of all modules elaborately. It is the summary of the front period work of the whole AMT system, and is the foundation of the work of function realization and running and debugging of AMT system.

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22

Liu, Xiaofeng. "Statistical Power and Optimum Sample Allocation Ratio for Treatment and Control Having Unequal Costs per Unit of Randomization." Journal of Educational and Behavioral Statistics 28, no. 3 (September 2003): 231–48. http://dx.doi.org/10.3102/10769986028003231.

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This article considers optimal sample allocation between the treatment and control condition in multilevel designs when the costs per sampling unit vary due to treatment assignment. Optimal unequal allocation may reduce the cost from that of a balanced design without sacrificing any power. The optimum sample allocation ratio depends only on the cost ratio between the treatment and control regardless of whether the randomization of sampling units occurs at levels 1, 2, or 3. Power functions for the exact tests for the main effect of treatment are derived for prototypical multilevel designs with unequal sample sizes in the treatment and control condition.

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Phan, Khoa Tran, Jaeok Park, and Mihaela van der Schaar. "Near-Optimal Deviation-Proof Medium Access Control Designs in Wireless Networks." IEEE/ACM Transactions on Networking 20, no. 5 (October 2012): 1581–94. http://dx.doi.org/10.1109/tnet.2011.2182359.

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Peps, Tim K., and Martin S. Levy. "Optimal control designs using predicting densities for the multivariate linear model." Communications in Statistics - Theory and Methods 25, no. 6 (January 1996): 1351–74. http://dx.doi.org/10.1080/03610929608831769.

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25

Majumdar, Dibyen. "Optimal repeated measurements designs for comparing test treatments with a control." Communications in Statistics - Theory and Methods 17, no. 11 (January 1988): 3687–703. http://dx.doi.org/10.1080/03610928808829828.

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Ablay, Günyaz. "Robust estimator-based optimal control designs for U-tube steam generators." Transactions of the Institute of Measurement and Control 37, no. 5 (May 19, 2014): 636–44. http://dx.doi.org/10.1177/0142331214534292.

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Cheng, Ching-Shui, Dibyen Majumdar, John Stufken, and Tahsin Erkan Türe. "Optimal Step-Type Designs for Comparing Test Treatments with a Control." Journal of the American Statistical Association 83, no. 402 (June 1988): 477–82. http://dx.doi.org/10.1080/01621459.1988.10478620.

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Rosa, Samuel, and Radoslav Harman. "Optimal approximate designs for comparison with control in dose-escalation studies." TEST 26, no. 3 (March 7, 2017): 638–60. http://dx.doi.org/10.1007/s11749-017-0529-3.

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Hedayat, A. S., and Dibyen Majumdar. "Model robust optimal designs for comparing test treatments with a control." Journal of Statistical Planning and Inference 18, no. 1 (January 1988): 25–33. http://dx.doi.org/10.1016/0378-3758(88)90013-4.

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Ting, Chao-Ping, and Yu-Yun Yang. "Bayes A-optimal designs for comparing test treatments with a control." Journal of Statistical Planning and Inference 53, no. 2 (August 1996): 237–51. http://dx.doi.org/10.1016/0378-3758(95)00146-8.

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Chung, Peter J., Heidi B. Goldfarb, and Douglas C. Montgomery. "Optimal Designs for Mixture-Process Experiments with Control and Noise Variables." Journal of Quality Technology 39, no. 3 (July 2007): 179–90. http://dx.doi.org/10.1080/00224065.2007.11917687.

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Stufken, John. "$A$-Optimal Block Designs for Comparing Test Treatments with a Control." Annals of Statistics 15, no. 4 (December 1987): 1629–38. http://dx.doi.org/10.1214/aos/1176350614.

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Sands, Timothy, Kevin Bollino, Isaac Kaminer, and Anthony Healey. "Autonomous Minimum Safe Distance Maintenance from Submersed Obstacles in Ocean Currents." Journal of Marine Science and Engineering 6, no. 3 (August 22, 2018): 98. http://dx.doi.org/10.3390/jmse6030098.

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A considerable volume of research has recently blossomed in the literature on autonomous underwater vehicles accepting recent developments in mathematical modeling and system identification; pitch control; information filtering and active sensing, including inductive sensors of ELF emissions and also optical sensor arrays for position, velocity, and orientation detection; grid navigation algorithms; and dynamic obstacle avoidance, amongst others. In light of these modern developments, this article develops and compares integrative guidance, navigation, and control methodologies for the Naval Postgraduate School’s Phoenix submerged autonomous vehicle, where these methods are assumed available. The measure of merit reveals how well each of several proposed methodologies cope with known and unknown disturbances, such as currents that can be constant or harmonic, while maintaining a safe passage distance from underwater obstacles, in this case submerged mines. Classical pole-placement designs establish nominal baseline behaviors and are subsequently compared to performance of designs that are optimized to satisfy linear quadratic cost functions in regulators as well as linear-quadratic Gaussian designs. Feed-forward architectures and integral control designs are also evaluated. A noteworthy contribution is a very simple method to mimic optimal results with a “rule of thumb” criteria based on the design’s time constant. Since the rule-of-thumb method uses the assumed system model for computation of the control, it is particularly generic. Cited references each contain methods for online system parameter identification (with a motivation of use in the finding the control signal), permitting the rule of thumb’s generic applicability, since it is expressed in terms of the system parameters. This proposed method permits control design at sea where significant computation abilities are not available. Very simple waypoint guidance is also introduced to guide a vehicle along a preplanned path through a field of obstacles placed at random locations. The linear-quadratic Gaussian design proves best when augmented with integral control, and works well with reduced-order equations, while the “rule of thumb” design is seen to closely mimic the optimal performance. Feed-forward augmentation proves particularly efficient at rejecting constant disturbances, while augmentation with integral control is necessary to counter periodic disturbances, where the augmentations are also optimized in the linear-quadratic Gaussian procedures, yet can be closely mimicked by the proposed “rule of thumb” technique.

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Bai, Er-wei. "Minimizing Energy Cost in Electric Arc Furnace Steel Making by Optimal Control Designs." Journal of Energy 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/620695.

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Production cost in steel industry is a challenge issue and energy optimization is an important part. This paper proposes an optimal control design aiming at minimizing the production cost of the electric arc furnace steel making. In particular, it is shown that with the structure of an electric arc furnace, the production cost which is a linear programming problem can be solved by the tools of linear quadratic regulation control design that not only provides an optimal solution but also is in a feedback form. Modeling and control designs are validated by the actual production data sets.

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Qin, Zhi-Chang, Fu-Rui Xiong, Qian Ding, Carlos Hernández, Jesús Fernandez, Oliver Schütze, and Jian-Qiao Sun. "Multi-objective optimal design of sliding mode control with parallel simple cell mapping method." Journal of Vibration and Control 23, no. 1 (August 9, 2016): 46–54. http://dx.doi.org/10.1177/1077546315574948.

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This paper presents a study of the multi-objective optimal design of a sliding mode control for an under-actuated nonlinear system with the parallel simple cell mapping method. The multi-objective optimal design of the sliding mode control involves six design parameters and five objective functions. The parallel simple cell mapping method finds the Pareto set and Pareto front efficiently. The parallel computing is done on a graphics processing unit. Numerical simulations and experiments are done on a rotary flexible arm system. The results show that the proposed multi-objective designs are quite effective.

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Yu, Jingjing, Qi Xi, Runlei Li, Hui Tian, and Yaxi Xie. "Stochastic allocation strategy for irregular arrays based on geometric feature control." International Journal of Distributed Sensor Networks 16, no. 5 (May 2020): 155014772092177. http://dx.doi.org/10.1177/1550147720921775.

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Irregularities in microphone distribution enrich the diversity of spatial differences to decorrelate interferences from the beamforming target. However, the large degrees of freedom of irregular placements make it difficult to analyse and optimize array performance. This article proposes fast and feasible optimal irregular array design methods with improved beamforming performance for human speech. Important geometric features are extracted to be used as the input vector of the neural network structure to determine the optimal irregular arrangements of sensors. In addition, a hyperbola design method is proposed to directly cluster microphones in the hyperbola areas to produce rich differential distance entropies and yield significant signal-to-noise ratio improvements. These methods can be easily applied to guide non-computer-aided optimal irregular array designs for human speech in acoustic scenes such as immersive cocktail party environments.

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Yang, Lihong, and Mark D. Reckase. "The Optimal Item Pool Design in Multistage Computerized Adaptive Tests With the p-Optimality Method." Educational and Psychological Measurement 80, no. 5 (February 6, 2020): 955–74. http://dx.doi.org/10.1177/0013164419901292.

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The present study extended the p-optimality method to the multistage computerized adaptive test (MST) context in developing optimal item pools to support different MST panel designs under different test configurations. Using the Rasch model, simulated optimal item pools were generated with and without practical constraints of exposure control. A total number of 72 simulated optimal item pools were generated and evaluated by an overall sample and conditional sample using various statistical measures. Results showed that the optimal item pools built with the p-optimality method provide sufficient measurement accuracy under all simulated MST panel designs. Exposure control affected the item pool size, but not the item distributions and item pool characteristics. This study demonstrated that the p-optimality method can adapt to MST item pool design, facilitate the MST assembly process, and improve its scoring accuracy.

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Toleukhan, Imankul. "Optimal Control of the Rotor System Motion." Advanced Materials Research 705 (June 2013): 546–52. http://dx.doi.org/10.4028/www.scientific.net/amr.705.546.

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Among the problems of the rotor machines dynamics the special attention is given to the problems of creation of the automatic balancing devices (ABD) in form of a hollow rotor, filled by a liquid, and the liquid-solidbody ABD. The theoretical and experimental works on research of the ABD on the base of a hollow rotor filled partially with a liquid and of the liquid-solidbody ABD are not enough. Therefore development of the methods of research of dynamics of the rotor machines with the ABD and such machines designs is an actual, new and perspective problem. In the present work the mathematical model of the rotor system with the ABD taking into account of the engine characteristics is offered. Lets consider the model of the rotor with electric drive with one disk, set up at the flexible shaft without skew. The shaft is lean on two bearings (fig. 1).

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SHIf, YONG, and ZESHENG HEJ. "Dual contingency plans in optimal generalized linear designs." International Journal of Systems Science 25, no. 8 (July 1994): 1267–92. http://dx.doi.org/10.1080/00207729408949277.

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Chowdhury, M. A., S. Mandal, D. K. Ghosh, and S. C. Bagui. "Optimal Structure (ligkl/ig) Designs for Comparing Test Treatments with a Control." Journal of Statistical Theory and Applications 16, no. 1 (2017): 96. http://dx.doi.org/10.2991/jsta.2017.16.1.8.

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López-Fidalgo, Jesús, and Sandra A. Garcet-Rodríguez. "Optimal Experimental Designs When Some Independent Variables Are Not Subject to Control." Journal of the American Statistical Association 99, no. 468 (December 2004): 1190–99. http://dx.doi.org/10.1198/016214504000001736.

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Yang, Xiong, and Qinglai Wei. "Adaptive Critic Designs for Optimal Event-Driven Control of a CSTR System." IEEE Transactions on Industrial Informatics 17, no. 1 (January 2021): 484–93. http://dx.doi.org/10.1109/tii.2020.2972383.

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43

Sonneveldt, L., E. R. van Oort, Q. P. Chu, and J. A. Mulder. "Comparison of Inverse Optimal and Tuning Functions Designs for Adaptive Missile Control." Journal of Guidance, Control, and Dynamics 31, no. 4 (July 2008): 1176–82. http://dx.doi.org/10.2514/1.31316.

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Lin, Chun-Sui, and Mong-Na Lo Huang. "Optimal designs for estimating the control values in multi-univariate regression models." Journal of Multivariate Analysis 101, no. 5 (May 2010): 1055–66. http://dx.doi.org/10.1016/j.jmva.2009.12.021.

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45

Feoktistova, V., A. Matveev, E. Lefeber, and J. E. Rooda. "Designs of optimal switching feedback decentralized control policies for fluid queueing networks." Mathematics of Control, Signals, and Systems 24, no. 4 (April 11, 2012): 477–503. http://dx.doi.org/10.1007/s00498-012-0086-y.

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Zhao, Yihong, and Shuang Wang. "Optimal DNA Pooling-Based Two-Stage Designs in Case-Control Association Studies." Human Heredity 67, no. 1 (October 17, 2008): 46–56. http://dx.doi.org/10.1159/000164398.

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47

Majumdar, Dibyen. "Optimal Designs for Comparing Test Treatments with a Control Utilizing Prior Information." Annals of Statistics 20, no. 1 (March 1992): 216–37. http://dx.doi.org/10.1214/aos/1176348519.

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48

Kamadan, Abdullah, Gullu Kiziltas, and Volkan Patoglu. "A Systematic Design Selection Methodology for System-Optimal Compliant Actuation." Robotica 37, no. 4 (November 29, 2018): 656–74. http://dx.doi.org/10.1017/s0263574718001248.

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SummaryThis work presents a systematic design selection methodology that utilizes a co-design strategy for system-level optimization of compliantly actuated robots that are known for their advantages over robotic systems driven by rigid actuators. The introduced methodology facilitates a decision-making strategy that is instrumental in making selections among system-optimal robot designs actuated by various degrees of variable or fixed compliance. While the simultaneous co-design method that is utilized throughout guarantees systems performing at their full potential, a homotopy technique is used to maintain integrity via generation of a continuum of robot designs actuated with varying degrees of variable and fixed compliance. Fairness of the selection methodology is ensured via utilization of common underlying (variable) compliant actuation principle and dynamical task requirements throughout the generated system designs. The direct consequence of the developed methodology is that it allows robot designers make informed selections among a variety of systems which are guaranteed to perform at their best. Applicability of the introduced methodology has been validated using a case study for system-optimal design of an active knee prosthesis that is driven by a mechanically adjustable compliance and controllable equilibrium position actuator (MACCEPA) under a periodic/real-life dynamical task.

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Atmani, Zoubir, Alexis Iung, Jean-Pierre Radoux, and Nadhir Lebaal. "Integration of digital imagery for topology optimization." International Journal for Simulation and Multidisciplinary Design Optimization 14 (2023): 4. http://dx.doi.org/10.1051/smdo/2023004.

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To manufacture high-quality products with low manufacturing costs and optimal performance, better design concepts are required. The initial design concept can lead to inefficient structural design and higher manufacturing costs if the topology is not optimal. Topology optimization enables designers to reach their design goals faster, more accurately, and cost-effectively. However, the geometry obtained through topology optimization is not manufacturing-ready due to non-smooth boundaries and gray level images, which require post-processing design implementation by engineers. Various researchers have used different image processing techniques to convert the gray image into a binary map to address this issue. This paper focuses on using image processing to evaluate the differences in optimal designs induced by meshing. This study aims to aid in the parametric understanding of different designs targeting the same application by introducing two new parameters: similarity ratio and conformity ratio. The results compare an optimal geometry obtained using structured and unstructured meshes. Topological optimization algorithms applied to mechanical problems allow for reducing a structure's mass while ensuring its rigidity. However, the final structures may differ for the same problem depending on whether they were meshed regularly or irregularly. This article characterizes the differences between the two final structures using an image processing approach.

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Zalkind, Daniel, Nikhar J. Abbas, John Jasa, Alan Wright, and Paul Fleming. "Floating wind turbine control optimization." Journal of Physics: Conference Series 2265, no. 4 (May 1, 2022): 042021. http://dx.doi.org/10.1088/1742-6596/2265/4/042021.

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Abstract We present a framework for optimizing the control parameters of floating offshore wind turbines (FOWTs). The framework combines aeroelastic simulations with a systems engineering model and control software. In an example of the optimization framework, we minimize tower damage equivalent loading with generator speed constraints. We also study the effect of thrust-limiting control and quantify the trade off between fatigue loading and energy capture using a set of optimal controller designs. Finally, we optimize the controller of four different FOWT models and compare their dynamic responses. Additional details and other use cases for the framework are presented, which can optimize different control problems and evaluate FOWT designs.

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Journal articles on the topic 'Optimal control designs'

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