Relevant bibliographies by topics / Optimized Control

Contents

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

Academic literature on the topic 'Optimized Control'

Author: Grafiati
Published: 9 November 2024

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Journal articles on the topic "Optimized Control"

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Hatjimihail, A. T. "Genetic algorithms-based design and optimization of statistical quality-control procedures." Clinical Chemistry 39, no. 9 (September 1, 1993): 1972–78. http://dx.doi.org/10.1093/clinchem/39.9.1972.

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Abstract In general, one cannot use algebraic or enumerative methods to optimize a quality-control (QC) procedure for detecting the total allowable analytical error with a stated probability with the minimum probability for false rejection. Genetic algorithms (GAs) offer an alternative, as they do not require knowledge of the objective function to be optimized and can search through large parameter spaces quickly. To explore the application of GAs in statistical QC, I developed two interactive computer programs based on the deterministic crowding genetic algorithm. Given an analytical process, the program "Optimize" optimizes a user-defined QC procedure, whereas the program "Design" designs a novel optimized QC procedure. The programs search through the parameter space and find the optimal or near-optimal solution. The possible solutions of the optimization problem are evaluated with computer simulation.
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Mohammed, Reham H., Ahmed M. Ismaiel, Basem E. Elnaghi, and Mohamed E. Dessouki. "African vulture optimizer algorithm based vector control induction motor drive system." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (June 1, 2023): 2396. http://dx.doi.org/10.11591/ijece.v13i3.pp2396-2408.

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<span lang="EN-US">This study describes a new optimization approach for three-phase induction motor speed drive to minimize the integral square error for speed controller and improve the dynamic speed performance. The new proposed algorithm, African vulture optimizer algorithm (AVOA) optimizes internal controller parameters of a fuzzy like proportional differential (PD) speed controller. The AVOA is notable for its ease of implementation, minimal number of design parameters, high convergence speed, and low computing burden. This study compares fuzzy-like PD speed controllers optimized with AVOA to adaptive fuzzy logic speed regulators, fuzzy-like PD optimized with genetic algorithm (GA), and proportional integral (PI) speed regulators optimized with AVOA to provide speed control for an induction motor drive system. The drive system is simulated using MATLAB/Simulink and laboratory prototype is implemented using DSP-DS1104 board. The results demonstrate that the suggested fuzzy-like PD speed controller optimized with AVOA, with a speed steady state error performance of 0.5% compared to the adaptive fuzzy logic speed regulator’s 0.7%, is the optimum alternative for speed controller. The results clarify the effectiveness of the controllers based on fuzzy like PD speed controller optimized with AVOA for each performance index as it provides lower overshoot, lowers rising time, and high dynamic response.</span>
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Danesfahani, Reza, and Ali Montazeri. "Optimized Automatic Frequency Control." IEEJ Transactions on Electronics, Information and Systems 126, no. 8 (2006): 938–41. http://dx.doi.org/10.1541/ieejeiss.126.938.

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Sameh, Mariam A., Mostafa I. Marei, M. A. Badr, and Mahmoud A. Attia. "An Optimized PV Control System Based on the Emperor Penguin Optimizer." Energies 14, no. 3 (February 1, 2021): 751. http://dx.doi.org/10.3390/en14030751.

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During the day, photovoltaic (PV) systems are exposed to different sunlight conditions in addition to partial shading (PS). Accordingly, maximum power point tracking (MPPT) techniques have become essential for PV systems to secure harvesting the maximum possible power from the PV modules. In this paper, optimized control is performed through the application of relatively newly developed optimization algorithms to PV systems under Partial Shading (PS) conditions. The initial value of the duty cycle of the boost converter is optimized for maximizing the amount of power extracted from the PV arrays. The emperor penguin optimizer (EPO) is proposed not only to optimize the initial setting of duty cycle but to tune the gains of controllers used for the boost converter and the grid-connected inverter of the PV system. In addition, the performance of the proposed system based on the EPO algorithm is compared with another newly developed optimization technique based on the cuttlefish algorithm (CFA). Moreover, particle swarm optimization (PSO) algorithm is used as a reference algorithm to compare results with both EPO and CFA. PSO is chosen since it is an old, well-tested, and effective algorithm. For the evaluation of performance of the proposed PV system using the proposed algorithms under different PS conditions, results are recorded and introduced.
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Isobe, Jiro. "Optimized PM Control with QCM." JAPAN TAPPI JOURNAL 55, no. 9 (2001): 1241–44. http://dx.doi.org/10.2524/jtappij.55.1241.

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Fracasso, P. T., F. S. Barnes, and A. H. R. Costa. "Optimized Control for Water Utilities." Procedia Engineering 70 (2014): 678–87. http://dx.doi.org/10.1016/j.proeng.2014.02.074.

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Yang, Zeqing, Wei Cui, Wenbo Zhang, Zhaohua Wang, Bingyin Zhang, Yingshu Chen, Ning Hu, Xiaoyang Bi, and Wei Hu. "A New Performance Optimization Method for Linear Motor Feeding System." Actuators 12, no. 6 (June 6, 2023): 233. http://dx.doi.org/10.3390/act12060233.

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The linear motor feeding system is a typical electromechanical coupling system. Conventional characteristic analyses of electromechanical coupling often overlook the influence of flexible deformation in critical components of the linear motor feeding system. Moreover, when employing genetic algorithms to optimize servo system PID control parameters, slow convergence, nonconvergence, or premature convergence problems may arise. To address these issues, this paper proposes a new performance optimization method for a linear motor feeding system. The method uses a combination of “multi-body theory + finite element” to accurately account for the flexible deformation of critical components of the feeding system, establishes a rigid–flexible electromechanical coupling model of the linear motor feeding system, and optimizes the PID parameters of the established model with an improved adaptive genetic algorithm. Simulation results demonstrate that, when utilizing an adaptive genetic algorithm to optimize the rigid–flexible electromechanical coupling model and a control system model that disregards flexible body deformation, the system achieves stability in 0.02 s and 0.027 s with overshoots of 13% and 27%, respectively. These outcomes confirm the accuracy and importance of considering flexible body deformation in the optimization performance of a linear motor feeding system. At the same time, the time required to reach the steady state of the rigid–flexible electromechanical coupling model optimized by the adaptive genetic algorithm is shortened from 0.035 s to 0.02 s. The sinusoidal signal response curve of the optimized system does not exhibit any peak overshoot compared with that of the nonoptimized system, and the response speed is also faster. These results demonstrate the effectiveness of the rigid–flexible electromechanical coupling model optimized by the nonlinear adaptive genetic algorithm. The displacement response curves of the linear motor feeding system under different workbench loads are obtained through experiments and compared with those obtained from simulations to verify the established model and the correctness of the proposed method.
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Guo, Zhi Jun, Dong Dong Yue, and Jing Bo Wu. "Optimization of Regenerative Braking Control Strategy for Pure Electric Vehicle." Applied Mechanics and Materials 872 (October 2017): 331–36. http://dx.doi.org/10.4028/www.scientific.net/amm.872.331.

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The regenerative braking strategy for precursor pure electric vehicle was studied in this paper. Firstly, a constraint optimization model was established for the braking force distribution, in which both braking stability and recovery efficiency of braking energy were taken into account. Secondly, Particle Swarm Optimization (PSO) algorithm was applied to optimize the multi key parameters in the model. Finally, the optimized braking torque of the motor was obtained at different speed, different braking strength and different battery charge state. A vehicle model was built to validate the optimized results through simulation. The results showed that, compared with the original control strategy, the optimized control strategy not only could increase the braking stability effectively, but also improve the energy recovery efficiency in a certain extent.
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Dey, Debadeepta, Tian Liu, Boris Sofman, and James Bagnell. "Efficient Optimization of Control Libraries." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 1983–89. http://dx.doi.org/10.1609/aaai.v26i1.8383.

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A popular approach to high dimensional control problems in robotics uses a library of candidate “maneuvers” or “trajectories”. The library is either evaluated on a fixed number of candidate choices at runtime (e.g. path set selection for planning) or by iterating through a sequence of feasible choices until success is achieved (e.g. grasp selection). The performance of the library relies heavily on the content and order of the sequence of candidates. We propose a provably efficient method to optimize such libraries, leveraging recent advances in optimizing submodular functions of sequences. This approach is demonstrated on two important problems: mobile robot navigation and manipulator grasp set selection. In the first case, performance can be improved by choosing a subset of candidates which optimizes the metric under consideration (cost of traversal). In the second case, performance can be optimized by minimizing the depth in the list that is searched before a successful candidate is found. Our method can be used in both on-line and batch settings with provable performance guarantees, and can be run in an anytime manner to handle real-time constraints.
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Ma, Teng, Fengrong Bi, Xu Wang, Congfeng Tian, Jiewei Lin, Jie Wang, and Gejun Pang. "Optimized Fuzzy Skyhook Control for Semi-Active Vehicle Suspension with New Inverse Model of Magnetorheological Fluid Damper." Energies 14, no. 6 (March 17, 2021): 1674. http://dx.doi.org/10.3390/en14061674.

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To improve the performance of vehicle suspension, this paper proposes a semi-active vehicle suspension with a magnetorheological fluid (MRF) damper. We designed an optimized fuzzy skyhook controller with grey wolf optimizer (GWO) algorithm base on a new neuro-inverse model of the MRF damper. Because the inverse model of the MRF damper is difficult to establish directly, the Elman neural network was applied. The novelty of this study is the application of the new inverse model for semi-active vibration control and optimization of the semi-active suspension control method. The calculation results showed that the new inverse model can accurately calculate the required control current. The fuzzy skyhook control method optimized by the grey wolf optimizer (GWO) algorithm was established based on the inverse model to control the suspension vibration. The simulation results showed that the optimized fuzzy skyhook control method can simultaneously reduce the amplitude of vertical acceleration, suspension deflection, and tire dynamic load.
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Dissertations / Theses on the topic "Optimized Control"

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He, Jincan, and Sundhanva Bhatt. "Mission Optimized Speed Control." Thesis, KTH, Fordonsdynamik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223334.

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Transportation underlines the vehicle industry's critical role in a country's economic future.The amount of goods moved, specically by trucks, is only expected to increase inthe near future. This work attempts to tackle the problem of optimizing fuel consumptionin Volvo trucks, when there are hard constraints on the delivery time and speed limits.Knowledge of the truck such as position, state, conguration etc., along with the completeroute information of the transport mission is used for fuel optimization.Advancements in computation, storage, and communication on cloud based systems, hasmade it possible to easily incorporate such systems in assisting modern eet. In this work,an algorithm is developed in a cloud based system to compute a speed plan for the completemission for achieving fuel minimization. This computation is decoupled from thelocal control operations on the truck such as prediction control, safety, cruise control, etc.;and serves as a guide to the truck driver to reach the destination on time by consumingminimum fuel.To achieve fuel minimization under hard constraints on delivery (or arrival) time andspeed limits, a non-linear optimization problem is formulated for the high delity modelestimated from real-time drive cycles. This optimization problem is solved using a Nonlinearprogramming solver in Matlab.The optimal policy was tested on two drive cycles provided by Volvo. The policy wascompared with two dierent scenarios, where the mission demands hard constraints ontravel time and the speed limits in addition to no trac uncertainties (deterministic). with a cruise controller running at a constant set speed throughout the mission. Itis observed that there is no signicant fuel savings. with maximum possible fuel consumption; achieved without the help of optimalspeed plan (worst case). It is seen that there is a notable improvement in fuelsaving.In a real world scenario, a transport mission is interrupted by uncertainties such as trac ow, road blocks, re-routing, etc. To this end, a stochastic optimization algorithm is proposedto deal with the uncertainties modeled using historical trac ow data. Possiblesolution methodologies are suggested to tackle this stochastic optimization problem.
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Wang, Ning. "Model-Free Optimized Tracking Control Heuristic." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40911.

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Tracking control algorithms often target the convergence of a tracking error. However, this can be at the expense of other important system characteristics, such as the control effort used to annihilate the tracking error, transient response, or steady-state characteristics, for example. Furthermore, most tracking control methods assume prior knowledge of the system dynamics, which is not always a realistic assumption, especially in the case of highly complex systems. In this thesis, a model-free optimized tracking control architectural heuristic is proposed. The suggested feedback system is composed of two control loops. The first is the tracking loop. It focuses on the convergence of the tracking error. It is implemented using two different model-free control algorithms for comparison purpose: Reinforcement Learning (RL) and the Nonlinear Threshold Accepting (NLTA) technique. The RL scheme reformulates the tracking error combinations into a form of Markov-Decision-Process (MDP) and applies Q-Learning to build the best tracking control policy for the dynamic system under consideration. On the other hand, the NLTA algorithm is applied to tune the gains of a PID controller. The second control loop is in the form of a nonlinear state feedback loop. It is implemented using a feedforward artificial neural network (ANN) to optimize a system-wide cost function which can be flexible enough to encompass a set of desired design requirements pertaining to the targeted system behavior. This may include, for instance, the target overshoot, settling time, rise time, etc. The proposed architectural heuristic provides a model-free framework to tackle such control problems, in the sense that the plant's dynamic model is not required to be known in advance. Yet, at least a subset of the stability region of the optimized gains has to be known in advance so that it can provide a search space for the optimization algorithms. Simulation results on two dynamic systems demonstrate the superiority of the proposed control scheme.
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Ruedisueli, Robert Louis. "Cyclically optimized electrochemical processes /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/10576.

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Shook, David Adam. "Control of a benchmark structure using GA-optimized fuzzy logic control." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1088.

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Uurtonen, Tommi. "Optimized Power Control for CDMA System using Channel Prediction." Thesis, Linköping University, Department of Science and Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-3697.

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In an optimal power control scheme for a Code Division Multiple Access (CDMA) system all mobile stations signals should arrive to the base station at equal power. If not, stronger singals may cause too much interference and block out weaker ones. Commonly used power control schemes utilizes the Signal to Interference Ratio (SIR) to design a Power Control Command (PCC) to adjust the transmit power of the mobile station. A significant problem within the conventional methods is the slow SIR recovery due to deep channel fades. Conventional methods base the PCC on the previous channel state when in fact, the channel state may have significantly changed when transmission occurs. These channel changes may cause the SIR to drop or rise drastically and lead to uncontrollable Multi Access Interference (MAI) resulting in power escalation and making the system unstable. In order to overcome power escalation and improve the recovery from deep fades a novel power control method has been developed. Based on Linear Quadratic Control and Kalman filtering for channel prediction this method designs the PCC based on the coming channel state instead of the current. This optimizes the PCC for the channel state where transmission occurs. Simulations show that this control scheme outperforms previous methods by making the impacts of the deep fades less severe on the SIR and also improves the overall SIR behaviour.

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Naveed, Muhammad. "Multicore Optimized Real-Time Protocol for Power Control Networks." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-90367.

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The Technology today is changing at a fast pace. The growth of computers and telecommunications over the past three decades has been extraordinary. We today are at the point where all technologies related to communication and data transfer are submerging to a common platform. A number of different methods are available for data communication or data transfer. The important factor in all communication setups is to satisfy user demands with low cost and reliability. The area of interest for this thesis is future energy substations and wind mills. In order to make things more straight forward and see its different options and capabilities the focus is on designing and implementing a new energy protocol called Energy Real Time Protocol (eRTP) based on Iyad Real Time Protocol (iRTP) [2]. The protocol is designed to meet the requirements of power and energy networks in terms of sending the energy parameters with VoIP data (optional) among power stations at different locations. Keeping in mind the importance transferring energy parameters in real-time, the presented protocol has built upon small individual algorithms/modules designed for multi-core architecture. Each module is supposed to be processed by an individual core/processor in parallel.
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Watanabe, Yoko. "Stochastically optimized monocular vision-based navigation and guidance." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22545.

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Thesis (Ph. D.)--Aerospace Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Johnson, Eric; Committee Co-Chair: Calise, Anthony; Committee Member: Prasad, J.V.R.; Committee Member: Tannenbaum, Allen; Committee Member: Tsiotras, Panagiotis.
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Holladay, Seth R. "Optimized Simulation of Granular Materials." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3856.

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Visual effects for film and animation often require simulated granular materials, such as sand, wheat, or dirt, to meet a director's needs. Simulating granular materials can be time consuming, in both computation and labor, as these particulate materials have complex behavior and an enormous amount of small-scale detail. Furthermore, a single cubic meter of granular material, where each grain is a cubic millimeter, would contain a billion granules, and simulating all such interacting granules would take an impractical amount of time for productions. This calls for a simplified model for granular materials that retains high surface detail and granular behavior yet requires significantly less computational time. Our proposed method simulates a minimal number of individual granules while retaining particulate detail on the surface by supporting surface particles with simplified interior granular models. We introduce a multi-state model where, depending on the material state of the interior granules, we replace interior granules with a simplified simulation model for the state they are in and automate the transitions between those states. The majority of simulation time can thus be focused on visible portions of the material, reducing the time spent on non-visible portions, while maintaining the appearance and behavior of the mass as a whole.
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Vieira, Turnell Alice. "Decentralized Secondary Frequency Control in an Optimized Diesel PV Hybrid System." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240405.

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This research argues that a diesel-based isolated electrical system can be optimized byintegrating a high share of solar photovoltaic (PV) generation and that the frequencystability of such system can be improved by including the PV participation in frequencyregulation. A case study is developed in order to explore an island’s expansion of theinstalled generating capacity and its optimization. This study uses the tool HOMER tosolve the optimization problem and PowerFactory to verify the frequency stability of theproposed system. The PV integration allows for a reduction of diesel fuel consumption,emissions and generation costs. Additionally, in high PV penetration scenarios, the reducedinertia in such systems can lead to high frequency deviations that may trip the systemprotection. The study demonstrates that the instantaneous frequency deviation after a loadand generation imbalance can be reduced by designing the PVs to operate with an allocatedreserve and a decentralized time-based secondary frequency control. The frequency stabilitywas achieved after different disturbance scenarios under high PV penetration and reducedavailable inertia, indicating that high PV integration is economically and technically feasiblein small island grids.
I detta examensarbete studeras hur ett dieselbaserat och isolerat elsystem kan optimeras genom att integrera en hög andel solceller (PV) i elproduktionen och att frekvensstabilitet kan förbättras när PV användas i regleringen. En fallstudie har utvecklats under denna forskning för att analysera en ökning av den installerade generationskapacitet vid en ö samt hur detta kan optimeras. I denna studie användas verktyget HOMER för modeloptimering och PowerFactory för att testa den optimerade systemfrekvens stabilitet. Med PV generation kan diesel konsumption, utsläpp och kostnader minskas för hela systemet. En hög andel PV i generationen reducerar elsystemet totala svängmassa vilket kan ledda till avvikelser i systemfrekvensen som kan ursaka att skyddsystem aktiveras. Studien demonstrerar att den momentana systemavvikelsen efter en obalans kan reduceras genom att designa PV i systemet med en allokerad reserv och en decentraliserad och tidsbaserad sekundär frekvensreglering. Frekvensstabiliteten nåddes i olika obalans scenarier med hög andel solcellgeneration och misnkat svängsmassa. Detta tyder på att en hög andel PV integration är både ekonomisk- och tekniskt möjligt i mindre elsystem.
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Siegel, Jakob. "A CUDA optimized Lattice Boltzmann method implementation using control-structure splitting techniques." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 69 p, 2009. http://proquest.umi.com/pqdweb?did=1885754631&sid=4&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Books on the topic "Optimized Control"

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Chris, Purvis, and Langley Research Center, eds. Control structure interaction/optimized design. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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Huang, Wei, and Jian Xu. Optimized Engineering Vibration Isolation, Absorption and Control. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2213-0.

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Saw, Yoo-Sok. Rate-quality optimized video coding. Boston: Kluwer Academic Publishers, 1999.

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Sanjay, Garg, and United States. National Aeronautics and Space Administration., eds. An optimized integrator windup protection technique applied to a turbofan engine control. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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L, Palumbo Daniel, and Langley Research Center, eds. Performance of optimized actuator and sensor arrays in an active noise control system. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

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1960-, McKinney William S., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Optimized resolved rate control of seven-degree-of-freedom Laboratory Telerobotic Manipulator (LTM) with application to three-dimensional graphics simulation. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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Corporation, Aspen Systems, Empire State Electric Energy Research Corporation., and New York State Energy Research and Development Authority., eds. Field demonstration of optimized variable speed compressor and condenser fan control for commercial refrigeration systems: Final report. Albany, N.Y: The Authority, 1997.

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Grant, Deon Morgiana. Biofilm control through optimised biocide dosing. Birmingham: University of Birmingham, 1998.

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Shepherd, K. J. Variable-air-volume systems for optimised design and control. Manchester: UMIST, 1995.

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B, Coulbeck, and Leicester Polytechnic. School of Electronic and Electrical Engineering., eds. An hierarchical approach to optimised control of water distribution systems. Leicester: Leicester Polytechnic, 1986.

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Book chapters on the topic "Optimized Control"

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Isermann, Rolf. "Parameter-optimized Controllers." In Digital Control Systems, 103–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-86417-9_5.

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Huang, Wei, and Jian Xu. "Semi-Active Control Tracking Active Control." In Optimized Engineering Vibration Isolation, Absorption and Control, 103–71. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2213-0_5.

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Isermann, Rolf. "Parameter-optimized Multivariable Control Systems." In Digital Control Systems, 89–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-86420-9_8.

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Saw, Yoo-Sok. "Rate-Quality Control in International Standards." In Rate-Quality Optimized Video Coding, 15–32. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5125-6_2.

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Saw, Yoo-Sok. "Quantiser Control for Rate-Quality Optimisation." In Rate-Quality Optimized Video Coding, 33–44. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5125-6_3.

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Huang, Wei, and Jian Xu. "Optimized Active Control for Equipment." In Optimized Engineering Vibration Isolation, Absorption and Control, 39–101. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2213-0_4.

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Isermann, Rolf. "Parameter-optimized Controllers for Stochastic Disturbances." In Digital Control Systems, 10–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-86420-9_2.

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Walters, R. B. "Modular Optimized System Simulation." In Hydraulic and Electric-Hydraulic Control Systems, 97–108. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9427-1_13.

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Walters, R. B. "Modular Optimized System Simulation." In Hydraulic and Electro-Hydraulic Control Systems, 97–108. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3840-6_13.

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Saw, Yoo-Sok. "Linear Predictive Video Rate Estimation and Control." In Rate-Quality Optimized Video Coding, 45–79. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5125-6_4.

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Conference papers on the topic "Optimized Control"

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Razzaghpour, Mahdi, Shahriar Shahram, Rodolfo Valiente, Mahdi Zaman, and Yaser P. Fallah. "Optimized Control-Centric Communication in Cooperative Adaptive Cruise Control Systems." In 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), 1–7. IEEE, 2024. http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683674.

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Shankar, Ravi, James Marco, and Francis Assadian. "Design of an optimized charge-blended energy management strategy for a plugin hybrid vehicle." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334701.

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Deng, Jing, Ziqi Yang, Kang Li, Gary Menary, and Eileen Harkin-Jones. "Heuristically optimized RBF neural model for the control of section weights in stretch blow moulding." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334596.

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Wright, Jonathan, and Eric Swenson. "Comparison of Statically Optimized Proportional-Integral-Derivative and Functionally Optimized Controllers." In AIAA Guidance, Navigation, and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-4785.

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Corke, Thomas, Benjamin Mertz, and Mehul Patel. "Plasma Flow Control Optimized Airfoil." In 44th AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-1208.

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Mann, Ariana J., and Nicholas Bambos. "Power-Optimized Processor Slowdown Control." In 2022 IEEE 61st Conference on Decision and Control (CDC). IEEE, 2022. http://dx.doi.org/10.1109/cdc51059.2022.9993159.

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Zhang, Yuxiang, and Shuzhi Sam Ge. "Nested Optimized Adaptive Linear Control." In 2024 2nd International Conference on Mechatronics, Control and Robotics (ICMCR). IEEE, 2024. http://dx.doi.org/10.1109/icmcr60777.2024.10482291.

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"Optimized Eigenstructure Assignment." In 10th International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004594903070314.

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Silva, Joao, Paulo Costa, and Jose Goncalves. "Description of a New Servo Motor Optimized for Educational Robotic Applications." In 2018 13th APCA International Conference on Automatic Control and Soft Computing (CONTROLO). IEEE, 2018. http://dx.doi.org/10.1109/controlo.2018.8514287.

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Ying Luo, YangQuan Chen, Youguo Pi, Concepcion A. Monje, and Blas M. Vinagre. "Optimized fractional order conditional integrator." In 2010 American Control Conference (ACC 2010). IEEE, 2010. http://dx.doi.org/10.1109/acc.2010.5531348.

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Reports on the topic "Optimized Control"

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Entin, Elliot E. Optimized Command and Control Architectures for Improved Process and Performance. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada440605.

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Birman, Victor. Functionally Graded Shape Memory Alloy Composites Optimized for Passive Vibration Control. Fort Belvoir, VA: Defense Technical Information Center, November 2006. http://dx.doi.org/10.21236/ada459593.

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Al-Qadi, Imad, Aravind Ramakrishnan, Zehui Zhu, Izak Said, Greg Renshaw, Hasan Ozer, and Ramadan Salim. Optimized Hot-Mix Asphalt Lift Configuration for Performance. Illinois Center for Transportation, May 2023. http://dx.doi.org/10.36501/0197-9191/23-006.

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Researchers conducted eight large-scale laboratory tests to assess the combined impact of hot-mix asphalt (HMA) overlay mix and thickness on its performance to control reflective cracking. Bonding efficiency, flexibility, and stiffness of the HMA mix as well as overlay thickness significantly affect an overlay’s performance against reflective cracking. Researchers developed a generalized 3D finite-element model to predict an overlay’s reflective cracking potential and generated a database of 128 cases. They also developed a data-driven surrogate model to predict reflective cracking potential that engineers can easily use. Life-cycle cost analysis of overlay alternatives was performed using Illinois Department of Transportation’s unit prices from contracts between 2018 and 2019. The researchers identified optimal overlay configurations to control reflective cracking. An overlay composed of a 1.5 in (38.1 mm) SMA-9.5 or 1.25 in (31.8 mm) IL-9.5FG surface course and a 0.75 in (19.1 mm) IL-4.75 binder course had the lowest annual cost per mile among non-interstate projects. For interstate projects, an overlay composed of a 2 in (50.8 mm) SMA-12.5 surface course and a 2.25 in (57.2 mm) IL-19.0 binder course was the most cost-effective. The study concluded that to control reflective cracking and to reduce life-cycle cost, an overlay composed of an SMA-9.5 surface course and an IL-4.75 binder course is recommended for non-interstate projects. An IL-9.5FG surface course and an IL-4.75 binder course are suggested for low-volume and low-speed roads. For interstate projects, an overlay comprised of an SMA-12.5 surface course and an IL-19.0 binder course is recommended. A data-driven surrogate model may be used to design overlay thicknesses.
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Lee, Eleanor S., Anothai Thanachareonkit, Samir Touzani, Spencer Dutton, Jordan Shackelford, Darryl Dickerhoff, and Stephen Selkowitz. Technology Assessments of High Performance Envelope with Optimized Lighting, Solar Control, and Daylighting. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1398403.

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Horn, Joseph F., John Tritschler, and Chengjian He. Autonomous Control Modes and Optimized Path Guidance for Shipboard Landing in High Sea States. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada613620.

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Horn, Joseph F., John Tritschler, and Chengjian He. Autonomous Control Modes and Optimized Path Guidance for Shipboard Landing in High Sea States. Fort Belvoir, VA: Defense Technical Information Center, January 2015. http://dx.doi.org/10.21236/ada617860.

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Konsam, Manis Kumar, Amanda Thounajam, Prasad Vaidya, Gopikrishna A, Uthej Dalavai, and Yashima Jain. Machine Learning-Enhanced Control System for Optimized Ceiling Fan and Air Conditioner Operation for Thermal Comfort. Indian Institute for Human Settlements, 2024. http://dx.doi.org/10.24943/mlcsocfacotc6.2023.

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This paper proposes and tests the implementation of a sustainable cooling approach that uses a machine learning model to predict operative temperatures, and an automated control sequence that prioritises ceiling fans over air conditioners. The robustness of the machine learning model (MLM) is tested by comparing its prediction with that of a straight-line model (SLM) using the metrics of Mean Bias Error (MBE) and Root Mean Squared Error (RMSE). This comparison is done across several rooms to see how each prediction method performs when the conditions are different from those of the original room where the model was trained. A control sequence has been developed where the MLM’s prediction of Operative Temperature (OT) is used to adjust the adaptive thermal comfort band for increased air speed delivered by the ceiling fans to maintain acceptable OT. This control sequence is tested over a two-week period in two different buildings by comparing it with a constant air temperature setpoint (24ºC).
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Dominguez-Garcia, Alejandro, Ivan Celanovic, Olaoluwapo Ajala, Madi Zholbaryssov, Joseph Smith, Peter Sauer, Andrew Sellers, Hunter Short, and Stephane Menand. Distributed Grid Control of Flexible Loads and DERs for Optimized Provision of Synthetic Regulating Reserves. Office of Scientific and Technical Information (OSTI), September 2022. http://dx.doi.org/10.2172/2350821.

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Lv, Chen. Human-like Decision-making and Control for Automated Driving. SAE International, March 2022. http://dx.doi.org/10.4271/epr2022005.

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The on-vehicle automation system is primarily designed to replace the human driver during driving to enhance the performance and avoid possible fatalities. However, current implementations in automated vehicles (AVs) generally neglect that human imperfection and preference do not always lead to negative consequences, which prevents achieving optimized vehicle performance and maximized road safety. Human-like Decision-making and Control for Automated Driving will take one step forward to address unsettled technologies in human-like automated driving to break through the limitation for future vehicle automation application existing methods and emerging technologies in Human driving feature modeling and analysis Personalized motion control for AVs Human-like decision making for AVs
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Daniel. L52353 Materials Selection, Welding and Weld Monitoring - Optimized Welding Solutions for X100 Line Pipe. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2012. http://dx.doi.org/10.55274/r0010650.

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Two rounds of pipe welding were completed to understand the influence of the welding parameters on the weld metal and HAZ properties and microstructure. Thermal data was also obtained from these welds. This information was used to refine the thermal microstructural model with predictive capabilities. Essential welding variables were validated on flat plate experiments and recommendations for welding process control established. Ultimately, these recommendations were evaluated by pipeline welding contractors to assess its viability for field application.
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