Academic literature on the topic 'Trajectory convergence'

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Journal articles on the topic "Trajectory convergence"

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Kuzmenko, Viktor. "Trajectory convergence." Cybernetics and Computer Technologies, no. 4 (March 18, 2025): 5–12. https://doi.org/10.34229/2707-451x.25.1.1.

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Ning, Tan, Zhang Yun-Jun, Ouyang Qi, and Geng Zhi. "Dynamical Convergence Trajectory in Networks." Chinese Physics Letters 22, no. 9 (2005): 2447–50. http://dx.doi.org/10.1088/0256-307x/22/9/085.

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Deng, Jiao-Jiao, Hsiao-Dong Chiang, and Tian-Qi Zhao. "Newton Method and Trajectory-Based Method for Solving Power Flow Problems: Nonlinear Studies." International Journal of Bifurcation and Chaos 25, no. 06 (2015): 1530018. http://dx.doi.org/10.1142/s0218127415300189.

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This paper analyzes the convergence properties and convergence region of a class of trajectory-based power flow methods. The convergence region of the trajectory-based method is a connected set and possesses the near-by property. The convergence region of Newton method and trajectory-based method in solving power flow problems are numerically investigated. Since the convergence region of trajectory-based method corresponds to the stability region of the nonlinear dynamic system, the stability regions of two dynamic systems are computed. The numerical results indicate that the stability region
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Xia, Youshen, and Gang Feng. "On Convergence Conditions of an Extended Projection Neural Network." Neural Computation 17, no. 3 (2005): 515–25. http://dx.doi.org/10.1162/0899766053019926.

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The output trajectory convergence of an extended projection neural network was developed under the positive definiteness condition of the Jacobian matrix of nonlinear mapping. This note offers several new convergence results. The state trajectory convergence and the output trajectory convergence of the extended projection neural network are obtained under the positive semidefiniteness condition of the Jacobian matrix. Comparison and illustrative examples demonstrate applied significance of these new results.
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Fang, Zheng, and Qing Li. "Fixed-time INDI control for UAV trajectory tracking." Journal of Physics: Conference Series 3026, no. 1 (2025): 012026. https://doi.org/10.1088/1742-6596/3026/1/012026.

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Abstract The trajectory tracking control of fixed-wing Unmanned Aerial Vehicles (UAVs) is inherently challenging due to their nonlinear, underactuated, and strongly coupled dynamics, as well as their vulnerability to external perturbations. This paper introduces an incremental nonlinear dynamic inversion (INDI) control method with fixed-time convergence for the design of both attitude and guidance law for UAVs. The proposed control method’s robustness and rapid response are validated through simulation experiments using a high-precision UAV model in Simulink. The method outperforms traditional
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Xu, Liu, Wei Min Li, Lin Zhang, and An Tang Zhang. "The Applications of Improved Genetic Algorithm on Hypersonic Vehicle Trajectory Optimization." Advanced Materials Research 466-467 (February 2012): 1095–99. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1095.

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The Optimal trajectory design for hypersonic cruise missile is an optimal control problem with strict terminal constraints and variable final time. The classical algorithms always encounter the problems of high sensitivity to initial guess and local convergence in solving this problem. Aiming at these problems, genetic algorithm (GA) which is of good global convergence is applied to designing the optimal trajectory for hypersonic cruise missile. In order to improve the convergence rate of GA and overcome its premature problems, this text introduces a predatory search (PS) strategy to speed the
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Gan, Wenyang, Tianxing Xia, and Zhenzhong Chu. "A Prognosis Technique Based on Improved GWO-NMPC to Improve the Trajectory Tracking Control System Reliability of Unmanned Underwater Vehicles." Electronics 12, no. 4 (2023): 921. http://dx.doi.org/10.3390/electronics12040921.

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The dynamics model of the unmanned underwater vehicle (UUV) system is highly nonlinear, multi-degree-of-freedom, strongly coupled, and time-varying. Its motion control has been a complex problem due to the unknown information about and the uncertainty of the working environment. To improve the performance and reliability of UUV trajectory tracking control, a trajectory tracking method based on nonlinear model predictive control is designed, and an improved gray wolf optimization (IGWO) is proposed for the optimization of nonlinear model predictive control. The convergence factor of IGWO is des
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Dubanov, A. A. "Kinematic model of the parallel convergence method in space." Journal of Physics: Conference Series 2182, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1742-6596/2182/1/012004.

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Abstract In this article, the implementation of the method of parallel convergence in space in a computer mathematics system is considered and discussed. In this method, the pursuer’s velocity vector is directed arbitrarily. The pursuer’s trajectory gradually approaches movement in the plane formed by the line connecting the initial positions of the pursuer and the target, and the velocity vector. In this task, the target moves uniformly and rectilinearly. The pursuer moves evenly. The points of the pursuer’s trajectory are calculated sequentially. They are being the result of the intersection
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Ling, Guo, Du Weiwei, Yang Jiancheng, Wang Liping, Wan Ping, and Liu Ling. "A Thermal Load Forecasting Algorithm Based on Trajectory Tracking." Mathematical Problems in Engineering 2020 (November 16, 2020): 1–12. http://dx.doi.org/10.1155/2020/5919238.

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The heating load forecast provides a basis for saving heating energy. Considering the nonstationary, nonlinear, and large time-delay characteristics of thermal load, this paper introduces the trajectory tracking stability theory into the field of load forecasting and proposes a heuristic correction that can ensure the convergence of forecast errors and does not depend on the system prediction model algorithm. The Lyapunov method is used to derive an error convergence criterion that has nothing to do with the prediction model, and a heuristic correction algorithm is designed for the predicted v
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Huang, Hangjie, and Jinfeng Gao. "Backstepping and Novel Sliding Mode Trajectory Tracking Controller for Wheeled Mobile Robots." Mathematics 12, no. 10 (2024): 1458. http://dx.doi.org/10.3390/math12101458.

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A novel variable structure controller based on sliding mode is developed for addressing the trajectory tracking challenge encountered by wheeled mobile robots. Firstly, the trajectory tracking error model under the global coordinate system is established according to the kinematic model of the wheeled mobile robot. Secondly, the novel sliding mode algorithm and backstepping method are introduced to design the motion controller of the system, respectively. Different sliding mode surfaces are formulated to guarantee rapid and stable convergence of the system’s trajectory tracking error to zero.
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Dissertations / Theses on the topic "Trajectory convergence"

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Duffy, Niall J. "Improved convergence for optimization of evasive maneuvering." Thesis, Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/54374.

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Consider the problem of developing an algorithm that computes optimal preprogrammed evasive maneuvers for a Maneuvering Reentry Vehicle (MaRV) attacking a target defended with Anti-Ballistic Missiles (ABMs). The problem is large in terms of the number of optimization parameters, and perhaps in terms of the number of nonlinear constraints. Since both MaRV and ABM trajectories are expensive to compute, rapid convergence of the optimization algorithm is of prime concern. This paper examines a discontinuity in the cost function that degrades both the speed and the reliability of optimizer converge
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Bin, Peng <1984&gt. "Spatial Disparity and Dynamic Trajectory of Convergence in China: Construction and Application of a Composite Index of Regional Development." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6435/1/Peng_Bin_ciclo_XXVI_Tesi.pdf.

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China is a large country characterized by remarkable growth and distinct regional diversity. Spatial disparity has always been a hot issue since China has been struggling to follow a balanced growth path but still confronting with unprecedented pressures and challenges. To better understand the inequality level benchmarking spatial distributions of Chinese provinces and municipalities and estimate dynamic trajectory of sustainable development in China, I constructed the Composite Index of Regional Development (CIRD) with five sub pillars/dimensions involving Macroeconomic Index (MEI), Science
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Bin, Peng <1984&gt. "Spatial Disparity and Dynamic Trajectory of Convergence in China: Construction and Application of a Composite Index of Regional Development." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6435/.

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China is a large country characterized by remarkable growth and distinct regional diversity. Spatial disparity has always been a hot issue since China has been struggling to follow a balanced growth path but still confronting with unprecedented pressures and challenges. To better understand the inequality level benchmarking spatial distributions of Chinese provinces and municipalities and estimate dynamic trajectory of sustainable development in China, I constructed the Composite Index of Regional Development (CIRD) with five sub pillars/dimensions involving Macroeconomic Index (MEI), Science
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Maulen, Soto Rodrigo. "A dynamical system perspective οn stοchastic and iΙnertial methοds fοr optimizatiοn". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMC220.

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Motivé par l'omniprésence de l'optimisation dans de nombreux domaines de la science et de l'ingénierie, en particulier dans la science des données, ce manuscrit de thèse exploite le lien étroit entre les systèmes dynamiques dissipatifs à temps continu et les algorithmes d'optimisation pour fournir une analyse systématique du comportement global et local de plusieurs systèmes du premier et du second ordre, en se concentrant sur le cadre convexe, stochastique et en dimension infinie d'une part, et le cadre non convexe, déterministe et en dimension finie d'autre part. Pour les problèmes de minimi
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Pontier, Monique. "Filtrage et controle de processus stochastiques soumis a des contraintes." Orléans, 1987. http://www.theses.fr/1987ORLE2016.

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Adelaar, Willem. "Historical Trajectory of the Quechuan Linguistic Family and its Relations to the Aimaran Linguistic Family." Pontificia Universidad Católica del Perú, 2012. http://repositorio.pucp.edu.pe/index/handle/123456789/113387.

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This article seeks to present the principal stages of the prehistory and history of the Quechuan language family in its interaction with the Aimaran family. It reconstructs a plausible scenario for a unique, intensive process of linguistic convergence that underlies the protolanguages of both families. From there on, it traces the principal developments that characterize the history of the Quechuan linguistic family, such as the initial split in two main branches, Quechua I and Quechua II (following Torero 1964), as well as further divisions that subsequently affected the Quechua II branch (Ca
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LAKHDARI, MOHAMMED EL-HACENE. "Famille d'applications trapezoidales de l'intervalle dont les iteres convergent vers une trajectoire periodique pour presque toute valeur du parametre." Nice, 1988. http://www.theses.fr/1988NICE4257.

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La famille a un parametre d'applications de l'intervalle que nous etudions a l'avantage de se preter facilement a des calculs combinatoires. Ceux-ci en retour, permettent de faire le calcul de tout le diagramme de bifurcation, de demontrer quelques belles proprietes de la famille et de mieux comprendre ce qu'est le chaos
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Hakala, Tim. "Settling-Time Improvements in Positioning Machines Subject to Nonlinear Friction Using Adaptive Impulse Control." BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/1061.

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A new method of adaptive impulse control is developed to precisely and quickly control the position of machine components subject to friction. Friction dominates the forces affecting fine positioning dynamics. Friction can depend on payload, velocity, step size, path, initial position, temperature, and other variables. Control problems such as steady-state error and limit cycles often arise when applying conventional control techniques to the position control problem. Studies in the last few decades have shown that impulsive control can produce repeatable displacements as small as ten nanomete
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Hota, Sikha. "Optimal Trajectory Planning for Fixed-Wing Miniature Air Vehicles." Thesis, 2013. http://etd.iisc.ac.in/handle/2005/3309.

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Applications such as urban surveillance, search and rescue, agricultural applications, military applications, etc., require miniature air vehicles (MAVs) to fly for a long time. But they have restricted flight duration due to their dependence on battery life, which necessitates optimal path planning. The generated optimal path should obey the curvature limits prescribed by the minimum turn radius/ maximum turn rate of the MAV. Further, in a dynamically changing environment, the final configuration that the MAV has to achieve may change en route, which demands the path to be replanned by an air
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Hota, Sikha. "Optimal Trajectory Planning for Fixed-Wing Miniature Air Vehicles." Thesis, 2013. http://etd.iisc.ernet.in/2005/3309.

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Applications such as urban surveillance, search and rescue, agricultural applications, military applications, etc., require miniature air vehicles (MAVs) to fly for a long time. But they have restricted flight duration due to their dependence on battery life, which necessitates optimal path planning. The generated optimal path should obey the curvature limits prescribed by the minimum turn radius/ maximum turn rate of the MAV. Further, in a dynamically changing environment, the final configuration that the MAV has to achieve may change en route, which demands the path to be replanned by an air
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Books on the topic "Trajectory convergence"

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Mehta, Pradeep S., and Bipul Chatterjee. India in the International Trading System. Edited by David M. Malone, C. Raja Mohan, and Srinath Raghavan. Oxford University Press, 2010. http://dx.doi.org/10.1093/oxfordhb/9780198743538.013.46.

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Although India’s foreign trade policy has undergone drastic changes over the years, its recognition of the international trading system as the vehicle for trade negotiations has remained unwavering. As India’s economy has begun to grow due to the use of open policies, so has its influence in championing the ambitions of developing countries. India’s history tells a story of the convergence of its foreign trade policy with the underlying principles of the multilateral trading system. However, looking forward, to maximize fully the benefits to it of the international trading system, India’s atte
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Arbache, Jorge, and Sarquis J. B. Sarquis. Growth Volatility and Economic Growth in Brazil. Edited by Edmund Amann, Carlos R. Azzoni, and Werner Baer. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190499983.013.17.

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One of the most puzzling pieces of evidence surrounding Brazil’s economic performance is that, despite the country’s ability to grow at high rates, its long-term growth has been disappointing. Behind this deficient long-term outcome, Brazil shows a high degree of growth volatility. It has experienced substantial growth booms and busts as measured by international standards. This chapter provides an analysis of growth volatility and its impact on Brazil’s growth performance and long-term trajectory. Particular attention is given to its long-term underperformance, its macroeconomic regularities,
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Ess, Charles M. Internet research ethics. Edited by Adam N. Joinson, Katelyn Y. A. McKenna, Tom Postmes, and Ulf-Dietrich Reips. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199561803.013.0031.

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This article discusses Internet research ethics, which promises to become an ever-more robust and significant field within information ethics, on the one hand, and research ethics more broadly, on the other. As new venues emerge for human–human and human–machine interaction, it seems certain that new ethical conundrums will emerge. But the overall history of Internet research ethics includes at least some convergence on key values and rights, while at the same time preserving important local differences with regard to approaches to ethical decision making and implementation of basic rights and
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Vale, Gina. The Unforgotten Women of the Islamic State. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/9780198922063.001.0001.

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Abstract The Unforgotten Women of the Islamic State explores the governance of the Islamic State (IS) terrorist organization through the lives and words of local Iraqi, Syrian, and Kurdish women. While the roles and activities of foreign (predominantly Western), pro-IS women have garnered significant attention, the experiences and insights of local civilian populations have been largely overlooked. Drawing on the testimonies of sixty-three local Sunni Muslim and Yazidi women, The Unforgotten Women of the Islamic State exposes the group’s intra-gender stratified system of governance. Eligibilit
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Grass, Tim. Restorationists and New Movements. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199683710.003.0007.

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Presbyterians and Congregationalists arrived in colonial America as Dissenters; however, they soon exercised a religious and cultural dominance that extended well into the first half of the nineteenth century. The multi-faceted Second Great Awakening led within the Reformed camp by the Presbyterian James McGready in Kentucky, a host of New Divinity ministers in New England, and Congregationalist Charles Finney in New York energized Christians to improve society (Congregational and Presbyterian women were crucial to the three most important reform movements of the nineteenth century—antislavery
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Pala, Özgür, and Khalid Al-Jaber. Turkish-Qatari Relations. The Rowman & Littlefield Publishing Group, 2022. https://doi.org/10.5040/9781978738829.

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This book examines domestic and regional geopolitical dynamics behind Turkish-Qatari relations from the past to the present. Utilizing arguments of practical geopolitical reasoning, Özgür Pala and Khaled Al-Jaber situate their analysis of evolving relations in the contexts of Ottoman-British geopolitical rivalry in the Persian Gulf, the Turkish Republic’s fluctuating relations with the Middle East until the 2000s, the AKP governments’ opening to the region and finally the Arab Spring and its aftermath. Contextualizing the trajectory of Turkish-Qatari relations within the larger Middle East and
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Clewer, Nicola. Neoliberalism, Postmodernity, and the Contemporary Memorial-Building Boom. The Rowman & Littlefield Publishing Group, 2022. https://doi.org/10.5040/9798881811068.

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The book develops a new approach to, and a distinct reading of, the contemporary memorial-building boom which began in the 1980s. Locating the origins of this boom in the crises associated with postmodernity and the rise of neoliberalism, it analyses the complex interplay between neoliberalism, postmodernism and nationalism in some of the most well-known memorials and memorial-museums to have emerged in the USA and Germany over the last four decades. Rather than offering a survey of contemporary memorials, it traces a specific trajectory (and certainly not the only one ripe for analysis): from
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Book chapters on the topic "Trajectory convergence"

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Li, Yan, Weonil Chung, and Hae-Young Bae. "A Novel Outlier Detection Method for Spatio-Tempral Trajectory Data." In Convergence and Hybrid Information Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24082-9_85.

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Chai, Runqi, Al Savvaris, Antonios Tsourdos, and Senchun Chai. "Hybrid Optimization Methods with Enhanced Convergence Ability." In Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9845-2_5.

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Katsuda, Keisuke, Yutaka Yanagisawa, and Tetsuji Satoh. "A Pattern-Based Predictive Indexing Method for Distributed Trajectory Databases." In Information Networking. Convergence in Broadband and Mobile Networking. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30582-8_78.

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Dolićanin, Ćemal B., and Anatolij B. Antonevich. "The Convergence of a Subspace Trajectory for an Arbitrary Operator." In Dynamical Systems Generated by Linear Maps. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08228-8_12.

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Rikap, Cecilia, and Bengt-Åke Lundvall. "Amazon and Microsoft: Convergence and the Emerging AI Technology Trajectory." In The Digital Innovation Race. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89443-6_5.

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Qian, Cheng, Xiaoyan Zhang, Xiaoxi Liang, and Haoyu Cheng. "UAV Trajectory Planning Based on Adaptive Nonlinear Convergence Global Sparrow Search Algorithm." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3552-8_29.

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Ruiao, Ding, Ji Chunlei, and Zeng Xiangxu. "Fuzzy Sliding Mode Trajectory Tracking Control for Omnidirectional Mobile Robots Based on Exponential Convergence Law." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53404-1_18.

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Lv, Shuailin, Ning Wang, Yong Wang, Jianchuan Yin, and Meng Joo Er. "Nonsingular Terminal Sliding Mode Based Trajectory Tracking Control of an Autonomous Surface Vehicle with Finite-Time Convergence." In Advances in Neural Networks - ISNN 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59081-3_11.

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Wells, Jonathan. "27. The Impact of Social Dynamics on Life History Trajectory and Demographic Traits." In Human Evolutionary Demography. Open Book Publishers, 2024. http://dx.doi.org/10.11647/obp.0251.27.

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Evolutionary demography applies models and theories from evolutionary biology to understand variability in fertility and mortality patterns. Many important ecological influences derive from the natural environment, such as the burden of infectious disease, or the availability of energy and other nutrients. However, human society is itself a source of diverse stimuli and stresses that may generate profound impacts on demographic traits. On this issue, much attention to date has focused on the benefits of social interaction, in particular ‘cooperative breeding’ through which the costs of reprodu
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Gao, Jiaxin, Yao Lyu, Wenxuan Wang, Yuming Yin, Fei Ma, and Shengbo Eben Li. "Gradient Correction for Asynchronous Stochastic Gradient Descent in Reinforcement Learning." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_127.

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AbstractDistributed stochastic gradient descent techniques have gained significant attention in recent years as a prevalent approach for reinforcement learning. Current distributed learning predominantly employs synchronous or asynchronous training strategies. While the asynchronous scheme avoids idle computing resources present in synchronous methods, it grapples with the stale gradient issue. This paper introduces a novel gradient correction algorithm aimed at alleviating the stale gradient problem. By leveraging second-order information within the worker node and incorporating current param
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Conference papers on the topic "Trajectory convergence"

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Zhang, Huanyu, and Tianxi Zhai. "Quadrotor Trajectory Tracking Control Based on Specified Time Convergence." In 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). IEEE, 2025. https://doi.org/10.1109/icaace65325.2025.11019621.

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Yan, Yuxin, Hutao Cui, and Peng Han. "Adaptive trajectory tracking control of space manipulator with fast fixed-time convergence." In International Conference on Optics, Electronics, and Communication Engineering, edited by Yang Yue. SPIE, 2024. http://dx.doi.org/10.1117/12.3049873.

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Cui, Can, Shanling Dong, Meiqin Liu, Zhen Fan, and Senlin Zhang. "Trajectory Planning of Robot Considering Variation of Convergence Zone Length in Circular Braiding System." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10662385.

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Anh Nguyen, Thi Chung, Tuan Manh Tao, Changha Lee, and Chan-Hyun Youn. "TM-LLM: Token-Motion Embedding Fusion for Large Language Model-Based Vessel Trajectory Prediction." In 2024 15th International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2024. https://doi.org/10.1109/ictc62082.2024.10827542.

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Sin, Seungseok, Chang-Gun Lee, Jina Ma, et al. "UAV-RIS Trajectory Optimization Algorithm for Energy Efficiency in UAV-RIS Based Non-Terrestrial Systems." In 2024 15th International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2024. https://doi.org/10.1109/ictc62082.2024.10827510.

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Chung, Jui-Che, and Jen-Te Yu. "Generalized Huber Loss Function and Gradient Flow Designed Fixed-Time Convergence Trajectory Tracking Controller for Quadcopter." In 2024 International Automatic Control Conference (CACS). IEEE, 2024. https://doi.org/10.1109/cacs63404.2024.10773230.

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Aboelnour, Mohamed, and Sebastian Engell. "Perturbation Methods for Modifier Adaptation with Quadratic Approximation." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.135520.

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Real-time optimization (RTO) is a model-based technique that drives plants to optimal operating conditions. Modifier Adaptation (MA) is a class of methods that adjusts the optimization problem using gradient information. This enables the plant to reach the optimum operating point or batch trajectory without the need of a precise model which reduces the necessary modeling efforts. However, computing the gradients of the cost function or of the plant outputs with respect to the inputs online is a challenging task. Modifier Adaptation with Quadratic Approximation (MAWQA) integrates MA with Quadra
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Tenne, Yoel. "Trajectory-Based Convergence Acceleration of Evolutionary Algorithms." In 2023 27th International Computer Science and Engineering Conference (ICSEC). IEEE, 2023. http://dx.doi.org/10.1109/icsec59635.2023.10329782.

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Lee, Yu-Hsiu, and Tsu-Chin Tsao. "Data-Driven ILC for Trajectory Tracking in Nonlinear Dynamic Systems." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-8926.

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Abstract The aim of this work is to propose a data-driven ILC algorithm that features fast convergence for nonlinear dynamic systems. This idea utilizes adaptive filtering that implicitly identifies the time-varying system inverse along the trajectory being tracked. By feeding the error signal through the copied inverse filter, it results in a rapidly convergent inversion-based ILC. This approach is compared to a nonlinear extension of the data-driven ILC that uses system adjoint as the learning filter. The developed algorithm is validated through simulation on a fully actuated 2 DOF Furuta pe
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Byon, Sungwon, Eunjung Kwon, Eui-Suk Jung, and Yong-Tae Lee. "An Implementation of Location Trajectory Data Reduction." In 2018 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2018. http://dx.doi.org/10.1109/ictc.2018.8539709.

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Reports on the topic "Trajectory convergence"

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Nelli, Linnea, Maria Enrica Virgillito, and Marco Vivarelli. A Twin Transition or a policy flagship? Emergent constellations and dominant blocks in green and digital technologies. UNU-MERIT, 2025. https://doi.org/10.53330/bfvc9329.

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The aim of this paper is to understand whether what has been labelled as “twin transition”, at first as a policy flagship, endogenously emerges as a new technological trajectory stemming by the convergence of the green and digital technologies. Embracing an evolutionary approach to technology, we first identify the set of relevant technologies defined as “green”, analyse their evolution in terms of dominant blocks within the green technologies and concurrences with digital technologies, drawing on 560,720 granted patents by the US Patent Office from 1976 to 2024. Three dominant blocks emerge a
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Pasupuleti, Murali Krishna. Optimal Control and Reinforcement Learning: Theory, Algorithms, and Robotics Applications. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv225.

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Abstract: Optimal control and reinforcement learning (RL) are foundational techniques for intelligent decision-making in robotics, automation, and AI-driven control systems. This research explores the theoretical principles, computational algorithms, and real-world applications of optimal control and reinforcement learning, emphasizing their convergence for scalable and adaptive robotic automation. Key topics include dynamic programming, Hamilton-Jacobi-Bellman (HJB) equations, policy optimization, model-based RL, actor-critic methods, and deep RL architectures. The study also examines traject
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Ocampo-Gaviria, José Antonio, Roberto Steiner Sampedro, Mauricio Villamizar Villegas, et al. Report of the Board of Directors to the Congress of Colombia - March 2023. Banco de la República de Colombia, 2023. http://dx.doi.org/10.32468/inf-jun-dir-con-rep-eng.03-2023.

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Banco de la República is celebrating its 100th anniversary in 2023. This is a very significant anniversary and one that provides an opportunity to highlight the contribution the Bank has made to the country’s development. Its track record as guarantor of monetary stability has established it as the one independent state institution that generates the greatest confidence among Colombians due to its transparency, management capabilities, and effective compliance with the central banking and cultural responsibilities entrusted to it by the Constitution and the Law. On a date as important as this,
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Monetary Policy Report - October 2022. Banco de la República Colombia, 2022. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr4-2022.

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1.1 Macroeconomic summary In September, headline inflation (11.4% annually) and the average of core inflation indicators (8.6% annually) continued on a rising trend, and higher increases than expected were recorded. Forecasts increased again, and inflation expectations remained above 3%. Inflationary surprises in the third quarter were significant and widespread, and they are the result of several shocks. On the one hand, international cost and price shocks, which have mainly affected goods and foods, continue to exert upwards pressure on national inflation. In addition to these external suppl
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Monetary Policy Report, January 2024. Banco de la República, 2024. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr1-2024.

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Inflation continues to decline but remains well above 3%. It is anticipated to decrease significantly in 2024 and draw closer to the established target in the first half of 2025. The ongoing moderation in the economy's price levels is evidenced by the decline in headline inflation from 11% to 9.3% between September and December 2023. A noteworthy contributor to the decrease in inflation has been the reduction of food prices adjustments throughout 2023, complemented by favorable trends in the price of goods. The decrease in inflation has, however, been constrained by the behavior of the price o
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Monetary Policy Report, January 2025. Banco de la República, 2025. https://doi.org/10.32468/inf-pol-mont-eng.tr1-2025.

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While inflation fell significantly in 2024, it continues above the 3% target. However, monetary policy measures and corrections in particular factors that exert upward price pressures have helped direct inflation toward the objective. Economic activity continues to recover and is expected to continue growing. The monetary policy interest rate is compatible with the convergence of inflation to its 3% target and the gradual recovery of economic growth toward more sustainable levels. Inflation has fallen significantly, from 9.3% in 2023 to 5.2% in 2024. During this year and into the next, inflati
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