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Relevant bibliographies by topics / Optimal control designs

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Academic literature on the topic 'Optimal control designs'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Optimal control designs"

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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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Dissertations / Theses on the topic "Optimal control designs"

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Umemura, Yoshio, Noboru Sakamoto, and Yuto Yuasa. "Optimal Control Designs for Systems with Input Saturations and Rate Limiters." IEEE, 2010. http://hdl.handle.net/2237/14447.

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Jha, Sumit Kumar. "Filter-based adaptive optimal control designs for uncertain linear time invariant systems." Thesis, IIT Delhi, 2019. http://eprint.iitd.ac.in:80//handle/2074/8062.

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Bortnick, Steven M. "Optimal block designs for simultaneous comparison of test treatments with a control /." The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488192447429755.

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Mohagheghi, Salman. "Adaptive Critic Designs Based Neurocontrollers for Local and Wide Area Control of a Multimachine Power System with a Static Compensator." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/16216.

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Modern power systems operate much closer to their stability limits than before. With the introduction of highly sensitive industrial and residential loads, the loss of system stability becomes increasingly costly. Reinforcing the power grid by installing additional transmission lines, creating more complicated meshed networks and increasing the voltage level are among the effective, yet expensive solutions. An alternative approach is to improve the performance of the existing power system components by incorporating more intelligent control techniques. This can be achieved in two ways: introducing intelligent local controllers for the existing components in the power network in order to employ their utmost capabilities, and implementing global intelligent schemes for optimizing the performance of multiple local controllers based on an objective function associated with the overall performance of the power system. Both these aspects are investigated in this thesis. In the first section, artificial neural networks are adopted for designing an optimal nonlinear controller for a static compensator (STATCOM) connected to a multimachine power system. The neurocontroller implementation is based on the adaptive critic designs (ACD) technique and provides an optimal control policy over the infinite horizon time of the problem. The ACD based neurocontroller outperforms a conventional controller both in terms of improving the power system dynamic stability and reducing the control effort required. The second section investigates the further improvement of the power system behavior by introducing an ACD based neurocontroller for hierarchical control of a multimachine power system. The proposed wide area controller improves the power system dynamic stability by generating optimal control signals as auxiliary reference signals for the synchronous generators automatic voltage regulators and the STATCOM line voltage controller. This multilevel hierarchical control scheme forces the different controllers throughout the power system to optimally respond to any fault or disturbance by reducing a predefined cost function associated with the power system performance.

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Park, Jung Wook. "Adaptive/optimal neurocontrol based on adaptive critic designs for synchronous generators and facts devices in power systems using artificial neural networks." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/13872.

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Liang, Jiaqi. "Wind energy and power system interconnection, control, and operation for high penetration of wind power." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/47570.

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High penetration of wind energy requires innovations in different areas of power engineering. Methods for improving wind energy and power system interconnection, control, and operation are proposed in this dissertation. A feed-forward transient compensation control scheme is proposed to enhance the low-voltage ride-through capability of wind turbines equipped with doubly fed induction generators. Stator-voltage transient compensation terms are introduced to suppress rotor-current overshoots and torque ripples during grid faults. A dynamic stochastic optimal power flow control scheme is proposed to optimally reroute real-time active and reactive power flow in the presence of high variability and uncertainty. The performance of the proposed power flow control scheme is demonstrated in test power systems with large wind plants. A combined energy-and-reserve wind market scheme is proposed to reduce wind production uncertainty. Variable wind reserve products are created to absorb part of the wind production variation. These fast wind reserve products can then be used to regulate system frequency and improve system security.

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Ma, Yuan. "Optimal mems plate design and control for large channel count optical switches." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/2071.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2004.
Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Godoy, Rodrigo Juliani Corrêa de. "Plantwide control: a review and proposal of an augmented hierarchical plantwide control design technique." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-07112017-140120/.

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The problem of designing control systems for entire plants is studied. A review of previous works, available techniques and current research challenges is presented, followed by the description of some theoretical tools to improve plantwide control, including the proposal of an augmented lexicographic multi-objective optimization procedure. With these, an augmented hierarchical plantwide control design technique and an optimal multi-objective technique for integrated control structure selection and controller tuning are proposed. The main contributions of these proposed techniques are the inclusion of system identification and optimal control tuning as part of the plantwide design procedure for improved results, support to multi-objective control specifications and support to any type of plant and controllers. Finally, the proposed techniques are applied to industrial benchmarks to demonstrate and validate its applicability.
O problema de projetar sistemas de controle para plantas inteiras é estudado. Uma revisão de trabalhos anteriores, técnicas disponíveis e atuais desafios de pesquisa é apresentada, seguida da descrição de algumas ferramentas teóricas para melhorar o controle plantwide, incluindo a proposta de um procedimento de otimização multi-objetivo lexicográfico aumentado. Com tais elementos, são propostas uma nova técnica hierárquica aumentada de projeto de sistemas de controle plantwide e uma técnica multi-objetivo para seleção de estrutura de controlador integrada à sintonia ótima do controlador. As principais contribuições das técnicas propostas são a inclusão de identificação de sistemas e sintonia ótima de controladores como parte do procedimento de projeto de controle plantwide para melhores resultados, suporte a especificações multi-objetivo e suporte a quaisquer tipos de plantas e controladores. Finalmente, as técnicas propostas são aplicadas a benchmarks industriais para demonstrar e validar sua aplicabilidade.

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Carlsson, Jesper. "Optimal Control of Partial Differential Equations in Optimal Design." Doctoral thesis, KTH, Numerisk Analys och Datalogi, NADA, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-9293.

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This thesis concerns the approximation of optimally controlled partial differential equations for inverse problems in optimal design. Important examples of such problems are optimal material design and parameter reconstruction. In optimal material design the goal is to construct a material that meets some optimality criterion, e.g. to design a beam, with fixed weight, that is as stiff as possible. Parameter reconstrucion concerns, for example, the problem to find the interior structure of a material from surface displacement measurements resulting from applied external forces. Optimal control problems, particularly for partial differential equations, are often ill-posed and need to be regularized to obtain good approximations. We here use the theory of the corresponding Hamilton-Jacobi-Bellman equations to construct regularizations and derive error estimates for optimal design problems. The constructed Pontryagin method is a simple and general method where the first, analytical, step is to regularize the Hamiltonian. Next its Hamiltonian system is computed efficiently with the Newton method using a sparse Jacobian. An error estimate for the difference between exact and approximate objective functions is derived, depending only on the difference of the Hamiltonian and its finite dimensional regularization along the solution path and its L² projection, i.e. not on the difference of the exact and approximate solutions to the Hamiltonian systems. Another treated issue is the relevance of input data for parameter reconstruction problems, where the goal is to determine a spacially distributed coefficient of a partial differential equation from partial observations of the solution. It is here shown that the choice of input data, that generates the partial observations, affects the reconstruction, and that it is possible to formulate meaningful optimality criteria for the input data that enhances the quality of the reconstructed coefficient. In the thesis we present solutions to various applications in optimal material design and reconstruction.
Denna avhandling handlar om approximation av optimalt styrda partiella differentialekvationer för inversa problem inom optimal design. Viktiga exempel på sådana problem är optimal materialdesign och parameterskattning. Inom materialdesign är målet att konstruera ett material som uppfyller vissa optimalitetsvillkor, t.ex. att konstruera en så styv balk som möjligt under en given vikt, medan ett exempel på parameterskattning är att hitta den inre strukturen hos ett material genom att applicera ytkrafter och mäta de resulterande förskjutningarna. Problem inom optimal styrning, speciellt för styrning av partiella differentialekvationer,är ofta illa ställa och måste regulariseras för att kunna lösas numeriskt. Teorin för Hamilton-Jacobi-Bellmans ekvationer används här för att konstruera regulariseringar och ge feluppskattningar till problem inom optimaldesign. Den konstruerade Pontryaginmetoden är en enkel och generell metod där det första analytiska steget är att regularisera Hamiltonianen. I nästa steg löses det Hamiltonska systemet effektivt med Newtons metod och en gles Jacobian. Vi härleder även en feluppskattning för skillnaden mellan den exakta och den approximerade målfunktionen. Denna uppskattning beror endast på skillnaden mellan den sanna och den regulariserade, ändligt dimensionella, Hamiltonianen, båda utvärderade längst lösningsbanan och dessL²-projektion. Felet beror alltså ej på skillnaden mellan den exakta och denapproximativa lösningen till det Hamiltonska systemet. Ett annat fall som behandlas är frågan hur indata ska väljas för parameterskattningsproblem. För sådana problem är målet vanligen att bestämma en rumsligt beroende koefficient till en partiell differentialekvation, givet ofullständiga mätningar av lösningen. Här visas att valet av indata, som genererarde ofullständiga mätningarna, påverkar parameterskattningen, och att det är möjligt att formulera meningsfulla optimalitetsvillkor för indata som ökar kvaliteten på parameterskattningen. I avhandlingen presenteras lösningar för diverse tillämpningar inom optimal materialdesign och parameterskattning.
QC 20100712

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Cardoso, de Castro Nicolas. "Energy-aware control and communication co-design in wireless net-worked control systems." Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENT113/document.

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L'énergie est une ressource clé dans les systèmes commandés en réseau, en particulier dans les applications concernant les réseaux sans fil. Cette thèse étudie comment économiser l'énergie dans les capteurs sans fil avec une co-Conception contrôle et communication. Cette thèse examine les techniques et les approches existantes qui sont utilisées pour économiser l'énergie d'un point de vue de la communication et du contrôle. Cet étude est organisée selon une architecture de communication par couches couvrant de bas en haut les couches Physique, Liaison, Réseau, et Application. Puis, à partir de la conclusion que la puce radio est un important consommateur d'énergie, une loi conjointe de gestion des modes radio et de contrôle en boucle fermée est établie. La gestion des modes radio exploite les capacités de la puce radio à communter dans des modes de basses consommation pour économiser l'énergie, et d'adapter la puissance de transmission aux conditions du canal. Il en résulte un système de contrôle basé sur des événements où le système fonctionne en boucle ouverte à certains moments. Un compromis naturel apparaît entre l'économie d'énergie et les performances de contrôle. La loi conjointe est établie avec une formulation de contrôle optimal utilisant la Programmation Dynamique. Cette thèse résout le problème optimal dans les deux cas d'horizon infini et fini. La stabilité du système en boucle fermée est étudiée avec la formulation Input-To-State Stability (ISS). La principale conclusion de cette thèse, également illustrée dans la simulation, est que la conception à travers différentes couches dans les systèmes commandés en réseau est essentielle pour économiser l'énergie dans les noeuds sans fil
Energy is a key resource in Networked Control Systems, in particular in applications concerning wireless networks. This thesis investigates how to save energy in wireless sensor nodes with control and communication co-Design. This thesis reviews existing techniques and approaches that are used to save energy from a communication and a control point of view. This review is organized according to the layered communication architecture covering from bottom to top the Physical, Data Link, Network, and Application layers. Then, from the conclusion that the radio chip is an important energy consumer, a joint radio-Mode management and feedback law policy is derived. The radio-Mode management exploits the capabilities of the radio chip to switch to low consuming radio-Modes to save energy, and to adapt the transmission power to the channel conditions. This results in an event-Based control scheme where the system runs open loop at certain time. A natural trade-Off appears between energy savings and control performance. The joint policy is derived in the framework of Optimal Control with the use of Dynamic Programming. This thesis solves the optimal problem in both infinite and finite horizon cases. Stability of the closed loop system is investigated with Input-To-State Stability framework. The main conclusion of this thesis, also shown in simulation, is that cross-Layer design in Networked Control System is essential to save energy in the wireless nodes

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Books on the topic "Optimal control designs"

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J, Lagnese, Russell David L, and White Luther William, eds. Control and optimal design of distributed parameter systems. New York: Springer-Verlag, 1995.

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Ignaciuk, Przemysław. Congestion Control in Data Transmission Networks: Sliding Mode and Other Designs. London: Springer London, 2013.

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Borggaard, Jeffrey, John Burkardt, Max Gunzburger, and Janet Peterson, eds. Optimal Design and Control. Boston, MA: Birkhäuser Boston, 1995. http://dx.doi.org/10.1007/978-1-4612-0839-6.

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Feng, Lin. Robust control design: An optimal control approach. Chichester, England: John Wiley/RSP, 2007.

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Borggaard, Jeff, John Burns, Eugene Cliff, and Scott Schreck, eds. Computational Methods for Optimal Design and Control. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-1780-0.

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Applied optimal control & estimation: Digital design & implementation. Englewood Cliffs, N.J: Prentice Hall, 1992.

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Batch distillation: Simulation, optimal design, and control. Washington, DC: Taylor & Francis, 1995.

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Batch distillation: Simulation, optimal design, and control. 2nd ed. Boca Raton: CRC Press, 2011.

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Optimization and optimal control in automotive systems. Cham: Springer, 2014.

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Bram, Demeulenaere, and Swevers Jan, eds. Optimal linear controller design for periodic inputs. Berlin: Springer, 2009.

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Book chapters on the topic "Optimal control designs"

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Başar, Tamer, and Pierre Bernhard. "A General Introduction to Minimax (H∞-Optimal) Designs." In H∞-Optimal Control and Related, 1–12. Boston, MA: Birkhäuser Boston, 1991. http://dx.doi.org/10.1007/978-1-4899-3561-8_1.

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Zhang, Huaguang, Derong Liu, Yanhong Luo, and Ding Wang. "Several Special Optimal Feedback Control Designs Based on ADP." In Communications and Control Engineering, 257–307. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4757-2_7.

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Başar, Tamer, and Pierre Bernhard. "A General Introduction to Minimax (H∞-Optimal) Designs." In H∞-Optimal Control and Related Minimax Design Problems, 1–32. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4757-5_1.

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Hassler, Edgar, Douglas C. Montgomery, and Rachel T. Silvestrini. "Bayesian D-Optimal Design Issues for Binomial Generalized Linear Model Screening Designs." In Frontiers in Statistical Quality Control 11, 337–53. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12355-4_20.

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Yasui, Seiichi, and Yoshikazu Ojima. "D-Optimal Three-Stage Unbalanced Nested Designs for the Determination of Measurement Precision." In Frontiers in Statistical Quality Control 12, 293–303. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75295-2_16.

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Liao, Zehua, and Qinglai Wei. "Adaptive Critic Designs of Optimal Control for Ice Storage Air Conditioning Systems." In Neural Information Processing, 180–88. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04239-4_16.

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Mikulski, Leszek. "Optimal Design of Elastic Bars." In Optimal Control, 265–72. Basel: Birkhäuser Basel, 1993. http://dx.doi.org/10.1007/978-3-0348-7539-4_19.

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Callies, Rainer. "Optimal Design of a Mission to Neptune." In Optimal Control, 341–49. Basel: Birkhäuser Basel, 1993. http://dx.doi.org/10.1007/978-3-0348-7539-4_25.

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Halperin, Ido, Grigory Agranovich, and Yuri Ribakov. "Optimal Control." In Design of Optimal Feedback for Structural Control, 25–37. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9780429346330-3.

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Kulkarni, V. G. "Optimal Control." In Modeling, Analysis, Design, and Control of Stochastic Systems, 317–51. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3098-2_10.

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Conference papers on the topic "Optimal control designs"

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Xu, Mingkuan, Yang Yu, and Chenye Wu. "Rule Designs for Optimal Online Game Matchmaking." In 2021 40th Chinese Control Conference (CCC). IEEE, 2021. http://dx.doi.org/10.23919/ccc52363.2021.9549977.

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Chiu, Wei-Yu. "Pareto optimal controller designs in differential games." In 2014 International Automatic Control Conference (CACS). IEEE, 2014. http://dx.doi.org/10.1109/cacs.2014.7097184.

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Qin, Zhi-Chang, and Jian-Qiao Sun. "Cluster Analysis and Switching Control: A Post-Processing of Multi-Objective Optimal Designs." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9633.

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The multi-objective optimal control design usually generates hundreds or thousands of Pareto optimal solutions. How to assist an user to select an appropriate controller to implement is a post-processing issue. In this paper, we develop a method of cluster analysis of the Pareto optimal designs to discover the similarity of the optimal controllers. After we identify the clusters of optimal controllers, we then develop a switching strategy to select controls from different clusters to improve the performance. Numerical results show that the switching control algorithm is quite promising.

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Papailiopoulos, Dimitris S., Alexandros G. Dimakis, and Viveck R. Cadambe. "Repair optimal erasure codes through hadamard designs." In 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2011. http://dx.doi.org/10.1109/allerton.2011.6120328.

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Treust, Mael Le, and Tobias J. Oechtering. "Optimal Control Designs for Vector-valued Witsenhausen Counterexample Setups." In 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2018. http://dx.doi.org/10.1109/allerton.2018.8635949.

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Wu, Y. A. "Applications of Optimal Stochastic Control Designs to a Ground-Based Tracking System." In 1989 American Control Conference. IEEE, 1989. http://dx.doi.org/10.23919/acc.1989.4790440.

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Jo, D. J., J. H. Lee, J. H. Kim, and M. J. Park. "Risk-Based Optimal CSOs Curve Designs for Stormwater Quality Control." In World Water and Environmental Resources Congress 2004. Reston, VA: American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40737(2004)62.

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Hu, S. D., H. Li, and H. S. Tzou. "Optimal Control of Piezoelectric Laminated Parabolic Cylindrical Panels." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12513.

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Vibration control of parabolic cylindrical shell panels by piezoelectric patches using optimal control algorithm is presented in this study. Laminated piezoelectric patches serve as distributed sensors and actuators. Dynamic behaviors and mode shape functions in three directions are obtained by the Rayleith-Ritz method. The sensing sensitivity of the piezoelectric sensor and the actuation force of the piezoelectric actuator are obtained. Feedback control gain between sensing and control signals is solved using the LQ optimal control algorithm. LQ controllers for independent modes are designed, and relative optimal control gains and control voltages are presented. Control results with respect to independent mode and optimal design parameters are evaluated in case studies. Numerical results show that the LQ optimal controller with optimal feedback control gain is effective for the vibration control of parabolic cylindrical shell panels. The damping ratio can be greatly enhanced; the maximal damping ratio reach 7.79% for mode (1,3). Studies on parametric designs suggest that relatively larger Q22 and/or smaller R results in rapider reduction of mechanical motion with more control energy cost, and vice versa. These results would provide a design reference in practical engineering.

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Pan, Ziheng, Xiaowu Zhang, Emilia Silvas, Huei Peng, and Nikhil Ravi. "Optimal Design of All-Wheel-Drive Hybrid Pick-Up Trucks." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9701.

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Both fuel economy and launching/towing performance are important for pick-up trucks. All-wheel-drive (AWD) and multimode operations are important to ensure efficient operations in a wide range of speeds and road loads. In this paper, a systematic methodology is developed and applied to the screening and evaluation of AWD multi-mode hybrid trucks. It is a four-step design process that uses automated modeling techniques, exhaustive search, and a near-optimal control strategy to obtain optimal designs. A case study was conducted to identify superior designs for an imagined hybrid electric Ford F-150 light truck.

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Wu, Chien-Hsun, Yi-Hsien Chiang, Wu-Yang Sean, Shih-Ming Lo, Jia-Cheng Ke, and Yi-Hsuan Hung. "Optimal designs and experimental verification for a hybrid energy storage system." In 2010 International Symposium on Computer, Communication, Control and Automation (3CA). IEEE, 2010. http://dx.doi.org/10.1109/3ca.2010.5533865.

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Reports on the topic "Optimal control designs"

1

Majumdar, Dibyen. Optimal Repeated Measurements Designs for Comparing Test Treatments with a Control. Fort Belvoir, VA: Defense Technical Information Center, January 1987. http://dx.doi.org/10.21236/ada185999.

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Cheng, C. S., D. Majumdar, J. Stufken, and T. E. Ture. Optimal Step Type Designs for Comparing Test Treatments with a Control. Fort Belvoir, VA: Defense Technical Information Center, June 1986. http://dx.doi.org/10.21236/ada170765.

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3

Stufken, John. A-Optimal Block Designs for Comparing Test Treatments with a Control. Fort Belvoir, VA: Defense Technical Information Center, July 1986. http://dx.doi.org/10.21236/ada174418.

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von Winckel, Gregory John. Optimal Design and Control of Qubits. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1475100.

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Seidman, Thomas I. Optimal Design and Control of Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada254947.

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Yeh, Edmund M. Theory, Design, and Algorithms for Optimal Control of wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, June 2010. http://dx.doi.org/10.21236/ada522224.

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Hedayat, A. S., Mike Jacroux, and Dibyen Majumdar. Recent Discoveries on Optimal Designs for Comparing Test Treatments with Controls. Fort Belvoir, VA: Defense Technical Information Center, March 1987. http://dx.doi.org/10.21236/ada185277.

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Hedayat, A. S., and Dibyen Majumdar. Recent Discoveries on A-Optimal Designs for Comparing Test Treatments with Controls. Fort Belvoir, VA: Defense Technical Information Center, June 1986. http://dx.doi.org/10.21236/ada174945.

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Yang, Yu, and Hen-Geul Yeh. Electrical Vehicle Charging Infrastructure Design and Operations. Mineta Transportation Institute, July 2023. http://dx.doi.org/10.31979/mti.2023.2240.

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California aims to achieve five million zero-emission vehicles (ZEVs) on the road by 2030 and 250,000 electrical vehicle (EV) charging stations by 2025. To reduce barriers in this process, the research team developed a simulation-based system for EV charging infrastructure design and operations. The increasing power demand due to the growing EV market requires advanced charging infrastructures and operating strategies. This study will deliver two modules in charging station design and operations, including a vehicle charging schedule and an infrastructure planning module for the solar-powered charging station. The objectives are to increase customers’ satisfaction, reduce the power grid burden, and maximize the profitability of charging stations using state-of-the-art global optimization techniques, machine-learning-based solar power prediction, and model predictive control (MPC). The proposed research has broad societal impacts and significant intellectual merits. First, it meets the demand for green transportation by increasing the number of EV users and reducing the transportation sector’s impacts on climate change. Second, an optimal scheduling tool enables fast charging of EVs and thus improves the mobility of passengers. Third, the designed planning tools enable an optimal design of charging stations equipped with a solar panel and battery energy storage system (BESS) to benefit nationwide transportation system development.

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Hyland, David C., Dennis S. Bernstein, Jr Collins, and Emmanuel G. Maximum Entropy/Optimal Projection Design Synthesis for Decentralized Control of Large Space Structures. Fort Belvoir, VA: Defense Technical Information Center, May 1988. http://dx.doi.org/10.21236/ada202375.

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