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Relevant bibliographies by topics / Optimal trajectory development

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Academic literature on the topic 'Optimal trajectory development'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Optimal trajectory development"

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Takalani, Rofhiwa Lutendo Edward, and Lesedi Masisi. "Development of An Optimal Port Crane Trajectory for Reduced Energy Consumption." Energies 16, no. 20 (2023): 7172. http://dx.doi.org/10.3390/en16207172.

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This paper is concerned with the development of an optimal load-handling trajectory for port cranes. The objective is to minimize load cycle time and reduce energy consumption. Energetic macroscopic representation formalism is used to model a port crane load-handling mechanism. The crane model developed includes the mathematical model, the crane’s local control system, and a MATLAB/Simulink model for simulation. The particle swarm optimization algorithm is used to find the set of pareto optimal crane trajectories given the variation in crane size, ship size, and wind speed. Experimental valida

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Sayfullin, Askar Aidarovich. "ANALYTICAL TOOL DEVELOPMENT FOR DEREMINING THE OPTIMAL WELL TRAJECTORY." Nauka Innovatsii Tekhnologii, no. 3 (2022): 47–74. http://dx.doi.org/10.37493/2308-4758.2022.3.3.

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Han, Yun-xiang, Xiao-qiong Huang, and Xin-min Tang. "Development of a new tool for constrained conflict resolution." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 5 (2018): 1683–94. http://dx.doi.org/10.1177/0954410018760356.

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In this paper, the problem of finding the optimal trajectory of an aircraft through a specified airspace for a given start and goal position is put forward. The application of sequential programming to optimal trajectory generation is reported with the selection of the grid size and the space boundaries. A totally discrete approach is adopted in contrast to the other models, which use continuous time but resort to diseretization in the computation. The component of the mathematical formulation of the optimization criteria is considered and the procedures used within the control algorithm on th

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Gui, Xuhao, Junfeng Zhang, Xinmin Tang, and Jie Bao. "Improved Data-Driven Trajectory Optimization Method Utilizing Deep Trajectory Generation." Journal of Aerospace Information Systems 22, no. 1 (2025): 28–42. https://doi.org/10.2514/1.i011418.

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The imbalance between air traffic capacity and demand, especially in the terminal maneuvering area, constrains the development of the civil aviation industry. To enhance the capacity, providing aircraft with optimal trajectories is the way forward. The key challenge of building a trajectory optimization model lies in embedding air traffic controllers’ operation experience into the optimization process. Previous efforts proposed a data-driven trajectory optimization method to learn operation experience from historical data for trajectory optimization use, which is limited by the issues of insuf

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Yoo, Hyun-Seok, Jeong-Ho Lee, and Young-Suk Kim. "Development of an Optimal Trajectory Planning Algorithm for Automated Pavement Crack Sealer." Korean Journal of Construction Engineering and Management 11, no. 4 (2010): 68–79. http://dx.doi.org/10.6106/kjcem.2010.11.4.68.

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Hu, Lin, Jie Wang, Jing Huang, Pak Kin Wong, and Jing Zhao. "Lane Change Trajectory Planning for Intelligent Electric Vehicles in Dynamic Traffic Environments: Aiming at Optimal Energy Consumption." Sustainability 17, no. 9 (2025): 4235. https://doi.org/10.3390/su17094235.

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With the reduction in battery costs and the widespread application of artificial intelligence, the adoption of new-energy vehicles is accelerating. Integrating energy consumption optimization into the process of intelligent development is of great significance for sustainable development. This paper, considering the regenerative braking characteristics of electric vehicles and the time-varying nature of surrounding obstacle vehicles during lane changes, proposes a segmented real-time trajectory-planning method combining optimal control and quintic polynomials. At the beginning of the lane chan

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Ketova, K., I. Rusyak, and R. Sedov. "Addressing the Problem of Regional Socio-economic System Management With a Manpower Effective Volume Taken Into Account." Bulletin of Science and Practice 6, no. 7 (2020): 10–25. http://dx.doi.org/10.33619/2414-2948/56/01.

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In the paper, a problem of regional socio-economic system management is solved, as exemplified by one of Russia’s regions. An optimal management algorithm is created, with an effective capacity of the workforce taken into account. The statement of the problem is implemented based on a regional economic system macro model, with an effective capacity of a labor force and a physical capital to be viewed as development factors. The underscore preliminary proposition of the model is the fact that labor force effective capacity consists of both qualitative (labor productivity of a worker) and quanti

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Ketova, K., I. Rusyak, and R. Sedov. "Addressing the Problem of Regional socio-economic System Management with a manpower effective volume taken into account." Bulletin of Science and Practice 6, no. 7 (2020): 10–25. https://doi.org/10.33619/2414-2948/56/01.

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In the paper, a problem of regional socio-economic system management is solved, as exemplified by one of Russia’s regions. An optimal management algorithm is created, with an effective capacity of the workforce taken into account. The statement of the problem is implemented based on a regional economic system macro model, with an effective capacity of a labor force and a physical capital to be viewed as development factors. The underscore preliminary proposition of the model is the fact that labor force effective capacity consists of both qualitative (labor productivity of a worker) and

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Lysenko, O. I., V. L. Shevchenko, O. M. Tachynina, S. O. Ponomarenko, and O. H. Guida. "Structure of the algorithm for modeling optimal movement of a compound dynamic system." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2024): 69–77. https://doi.org/10.15407/pp2024.02-03.069.

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The work is devoted to the development of the structure of the algorithm for modeling the optimal movement of complex dynamic systems (SDS) along a branched trajectory. Complex systems are called systems consisting of separate subsystems, the flight trajectories of which differ and are called branched. Branched trajectories should consist of trajectory segments, the first of which will be common to the entire SDS, and the other trajectory branches will be different, as each subsystem moves to its goal along its own trajectory segment. The proposed algorithm makes it possible to optimize such t

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Nguyen, Ngoc-Duc, Mai The Vu, Phi Nguyen, et al. "Time-Optimal Trajectory Design for Heading Motion of the Underwater Vehicle." Journal of Marine Science and Engineering 11, no. 6 (2023): 1099. http://dx.doi.org/10.3390/jmse11061099.

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Underwater vehicles are a powerful tool that can assist oceanologists with measuring the state of oceans on a large scale. The heading control is essential for the underwater vehicle to follow a specific path. This study describes the general decoupled dynamics of underwater vehicles, which is a nonlinear second-order differential equation considering linear and quadratic damping hydrodynamics. A novel aspect of this study is the development of a new analytical solution for the second-order nonlinear differential equation, which involves the heading motion of the underwater vehicle. In this st

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Dissertations / Theses on the topic "Optimal trajectory development"

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Schaupp, Michael. "Development of an optimal control strategy for robot trajectory planning." Thesis, Liverpool John Moores University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244448.

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Fisch, Florian [Verfasser]. "Development of a Framework for the Solution of High-Fidelity Trajectory Optimization Problems and Bilevel Optimal Control Problems / Florian Fisch." München : Verlag Dr. Hut, 2011. http://d-nb.info/1011441756/34.

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Fisch, Florian [Verfasser], Florian [Akademischer Betreuer] Holzapfel, and Matthias [Akademischer Betreuer] Gerdts. "Development of a Framework for the Solution of High-Fidelity Trajectory Optimization Problems and Bilevel Optimal Control Problems / Florian Fisch. Gutachter: Florian Holzapfel ; Matthias Gerdts. Betreuer: Florian Holzapfel." München : Universitätsbibliothek der TU München, 2011. http://d-nb.info/1013435443/34.

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Perronno, Paul. "Development of a biosensor for in situ pathogen detection on hands." Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAD049.

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Les infections sont un problème grandissant aujourd’hui, notamment due à l’augmentation de pathogènes résistant aux antibiotiques, L’hygiène des mains et les gestes barrières sont les premiers outils de prévention d’infections. Cependant, il y a un besoin de systèmes d’alertes rapides pour une meilleure prévention et éviter des épidémies ou pandémies. Il existe de nombreuses techniques de détection d‘infections tel que la réaction en chaine par polymérase. Ces dernières années, de nouveaux systèmes miniatures ont émergé basé sur diverses technologies comme l’optique ou l’impédance. Ces méthode

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Meng-HsienLin and 林孟弦. "Optimal Design of an Innovative Eight-Bar Legged Walking Mechanism that Mimics Human Foot Trajectory when Climbing Stairs and the Development of a Multi-Legged Stair Climbing Robot." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/34707355229552780889.

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碩士<br>國立成功大學<br>機械工程學系<br>104<br>This study presents an innovative linkage mechanism and the design of a multi-legged stair-climbing robot. As the traditional continuous track type, star wheel type, and individually controlled multi-legged type stair-climbing machines are either moved slowly or with large oscillation at the centroid during operation. This study presents a multi-legged stair-climbing robot with the capability to steadily climb stairs with consistent human foot trajectory. The leg design is based on the eight-bar Jansen mechanism but a new set of leg configuration is numerically

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Ku, Alex, and 古敏鋒. "Forming the strategy of Taiwan memory card business from development trajectory of Taiwan optical disc business ---- take an example of Apex company." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/03432677749425086376.

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Books on the topic "Optimal trajectory development"

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United States. National Aeronautics and Space Administration., ed. Rapid near-optimal trajectory generation and guidance law development for single-stage-to-orbit airbreathing vehicles. School of Aerospace Engineering, Georgia Institute of Technology, 1990.

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National Aeronautics and Space Administration (NASA) Staff. Rapid near-Optimal Trajectory Generation and Guidance Law Development for Single-Stage-To-Orbit Airbreathing Vehicles. Independently Published, 2018.

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Rapid near-optimal trajectory generation and guidance law development for single-stage-to-orbit airbreathing vehicles. School of Aerospace Engineering, Georgia Institute of Technology, 1990.

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Trajectory optimization and guidance law development for national aerospace plane applications: Final report, July 1, 1987 to November 30, 1988. School of Aerospace Engineering, Georgia Institute of Technology, 1988.

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Book chapters on the topic "Optimal trajectory development"

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Anderson, Sterling J., Steven C. Peters, Tom E. Pilutti, and Karl Iagnemma. "Design and Development of an Optimal-Control-Based Framework for Trajectory Planning, Threat Assessment, and Semi-autonomous Control of Passenger Vehicles in Hazard Avoidance Scenarios." In Springer Tracts in Advanced Robotics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19457-3_3.

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Borovik, V. S., and V. V. Borovik. "Formation of a Strategy for Managing Scientific Research." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240816.

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A model for control strategy realization when automating the research process was developed. The control strategy is considered as a certain realizable control trajectory carried out within the boundaries of the hypersurface area which surrounds the optimal control trajectory. The distance from the optimal control trajectory, which determines the range of acceptable values, is assessed by the quality of control -ρ, which is the total statistical value of the “distance” of the real trajectory from the optimal one. This approach allows us to move to a certain realizable control trajectory, carri

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Tachinina, Olena, and Oleksandr Lysenko. "Methods for the Synthesis of Optimal Control of Deterministic Compound Dynamical Systems With Branch." In Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1415-3.ch014.

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This chapter states the result of the development of optimal control methods for deterministic discontinuous systems of optimal control problems for deterministic compound dynamical systems (CDS) with branching paths. The necessary conditions for optimality of the CDS branching paths are formulated in the form convenient for subsequent development of algorithms for the operational synthesis of these paths. The optimality conditions developed by the authors allow both preliminary and in real time (on-line) optimization of the CDS branching paths. The need for an operational synthesis of the CDS

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A. Rendón, Manuel. "Quadrotor Unmanned Aerial Vehicles: Visual Interface for Simulation and Control Development." In Robotics Software Design and Engineering. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97435.

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Quadrotor control is an exciting research area. Despite last years developments, some aspects demand a deeper analysis: How a quadrotor operates in challenging trajectories, how to define trajectory limits, or how changing physical characteristics of the device affects the performance. A visual interface development platform is a valuable tool to support this effort, and one of these tools is briefly described in this Chapter. The quadrotor model uses Newton-Euler equations with Euler angles, and considers the effect of air drag and propellers’ speed dynamics, as well as measurement noise and

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Hannon, Breffni, Stein Kaasa, and Camilla Zimmermann. "Specialist palliative care along the trajectory of illness." In Oxford Textbook of Palliative Medicine, edited by Nathan I. Cherny, Marie T. Fallon, Stein Kaasa, Russell K. Portenoy, and David C. Currow. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198821328.003.0011.

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The benefits of early, integrated palliative care have been demonstrated through several randomized controlled trials. These benefits include improved quality of life, satisfaction with care, symptom management, and, in some cases, survival. Despite heterogeneity in study design and execution, as well as limitation to mainly the oncology population, these trials have answered the question of why patients should receive palliative care early in their disease trajectory. Attention must now shift to the practicalities of early integration; these include questions about when is the optimal time to

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Mebarki, Ahmed. "Industrial Risks and Domino Effects: Resilience, Risks and Optimal Layouts." In Critical Energy Infrastructure Protection. IOS Press, 2022. http://dx.doi.org/10.3233/nicsp220003.

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The modern concept of resilience relies on adequate metrics of the objective and utility functions, pertinent evaluation of the damages and utility drops, multi-hazards modeling, adaptive options and recovery functions. The paper presents some key topics for the theoretical resilience in industrial and urban contexts. Three case studies are investigated: - The case of industrial tanks: fragments generated by explosions, their trajectory and impact on surrounding facilities, risk and domino effects. - The case of industrial tanks: effect of tsunamis and fragility curves development. - A constru

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Rodzin, Sergei Ivanovich, Iurii Aleksandrovich Skobtsov та Samer Adnan El'-Khatib. "Bioheuristics: theory, algorithms and applications". У Биоэвристики: теория, алгоритмы и приложения. Publishing house Sreda, 2019. http://dx.doi.org/10.31483/r-22141.

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The book examines the current state and problems of bioheuristics development, biographical and memetic algorithms, the issues of finding optimal solutions by trajectory algorithms and bioheuristics of multicriteria optimization. Ant and swarm bioheuristics, their features and modifications are presented. Hybrid formic and hypeuruistic swarm segmentation algorithms of complexly structured images are considered as applications. The monograph is interdisciplinary, it is addressed to masters and graduate students studying the theory and practice of creating intelligent information systems and tec

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Thomas, Jishamol, and Sheeja Remani B. Karalam. "Empowering Indigenous Adolescents." In Enhancing Curricula with Service Learning Models. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-5933-4.ch007.

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This chapter synthesizes results from examining service-learning initiatives tailored for Indigenous adolescents. The authors emphasize customized educational approaches, community collaboration, and cultural sensitivity. The Paniya Tribes case study in Wayanad illustrates efforts of this kind that seek to address historical inequities and enhance students' academic performance, life skills, and engagement. The enduring impact extends beyond academics, empowering young people to take on leadership roles. Cultural sensitivity and the responsible application of technology are two factors that ca

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Fauerbach, James A., and Carisa Perry-Parrish. "Self-Management of Burn Injury." In Promoting Self-Management of Chronic Health Conditions, edited by Erin Martz. Oxford University Press, 2017. http://dx.doi.org/10.1093/med-psych/9780190606145.003.0009.

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Burn injuries present individuals with a range of physical, medical, emotional, social, and behavioral challenges. Burn injuries are painful, as are the necessary medical treatments that typically follow. In this chapter, research is presented on physiological (e.g., pain, pruritus), psychological (e.g., worries, negative emotions, distress), and social sequelae (e.g., self-perception of appearance, body image) of burn injuries in adults. Research is also reviewed on the evidence-based strategies to address impairments across domains, the emotional impact and methods for optimal coping, and th

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Zhao, Jingyuan, and Andrew F. Burke. "Deep Learning for Planning and Control in Autonomous Vehicles." In Modeling and Control of Autonomous Systems [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1009340.

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In autonomous systems, path planning and control are critical for ensuring safety, efficiency, and comfort. Deep learning has significantly enhanced these aspects by introducing adaptability and real-time responsiveness into autonomous operations. Reinforcement learning-based motion planning algorithms, for example, are adept at devising optimal navigation paths even within intricate environments. Moreover, trajectory prediction models, particularly those employing recurrent neural networks, excel in anticipating the movements of nearby objects accurately. Furthermore, the integration of end-t

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Conference papers on the topic "Optimal trajectory development"

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Galisteu, Danilo, Florian Adolf, Jörg Dittrich, Falk Sachs, and Holger Duda. "Towards Autonomous Emergency Landing for an Optionally Piloted Autogyro." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10294.

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In this paper, we present the development of a system for automation of the emergency maneuver for an autogyro after engine power loss. The purpose of the system is to determine a safe and feasible trajectory from the initial condition in forward flight to a final position that is suitable for final approach and landing at a desired location. The flight dynamics of the autogyro is evaluated and a flight control system is developed for the unpowered flight. A simplified dynamic model is created for generation of the gliding trajectory from the starting point to a given final position and ground

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Goulos, Ioannis, Vassilios Pachidis, Cesar Celis, Roberto D’Ippolito, and Jos Stevens. "Simulation Framework Development for Aircraft Mission Analysis." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-23379.

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Since the very beginning of first commercial flight operations, aircraft mission analysis has played a major role in minimizing costs, increasing performances and satisfying regulations. The operational trajectory of any aircraft must comply with several constraints that need to be satisfied during its operation. The nature of these constraints can vary from Air Traffic Control (ATC) regulations, to emissions regulations and any combination between these two. The development of an integrated tool capable of determining the resources required (fuel and operational time) for a given aircraft tra

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Goulos, Ioannis, Martina Mohseni, Vassilios Pachidis, Roberto D’Ippolito, and Jos Stevens. "Simulation Framework Development for Helicopter Mission Analysis." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-23389.

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Helicopter mission performance analysis has always been an important topic for the helicopter industry. This topic is now raising even more interest as aspects related to emissions and noise gain more importance for environmental and social impact assessments. The present work illustrates the initial steps of a methodology developed in order to acquire the optimal trajectory of any specified helicopter under specific operational or environmental constraints. For this purpose, it is essential to develop an integrated tool capable of determining the resources required (e.g. fuel burnt) for a giv

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LIAO, X. P., W. XIA, and F. Y. LONG. "A COMPUTATIONAL INTELLIGENCE DEVELOPMENT OF OPTIMAL TOOL TRAJECTORY IN SURFACE SPRAY MANUFACTURING." In Proceedings of the 4th International ISKE Conference on Intelligent Systems and Knowledge Engineering. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814295062_0018.

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Reynoso-Mora, Pedro, and Masayoshi Tomizuka. "LQ-Based Trajectory Tracking of Robotic Manipulators With “Near” Dynamically Feasible Time-Optimal Trajectory." In ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7271.

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In this paper we study the trajectory tracking of robotic manipulators using LQ methods. We also present the development of an algorithm that generates “near” dynamically feasible time-optimal trajectories with complete dynamics model, which incorporates both Coulomb and viscous friction. It is shown how to incorporate the viscous-friction term through a convex relaxation of the original non-convex formulation. Viscous friction is traditionally ignored in all existing related formulations due to the intractability in solving the non-convex problem. As a case study, the methodology is applied t

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Garcia, Orlando, Omar Santos, Hugo Romero, and Sergio Salazar. "On the tracking trajectory using optimal control in a quadrotor helicopter: Experimental results." In 2015 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS). IEEE, 2015. http://dx.doi.org/10.1109/red-uas.2015.7441001.

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Kruglova, T. N., and A. S. Vlasov. "RESEARCH OF METAHEURISTIC ALGORITHMS FOR SOLVING THE PROBLEMS OF AN OPTIMAL PATH PLANNING." In STATE AND DEVELOPMENT PROSPECTS OF AGRIBUSINESS. DSTU-PRINT, 2020. http://dx.doi.org/10.23947/interagro.2020.1.175-177.

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This paper is devoted to the study of metaheuristic algorithms for solving problems of finding the optimal route for an agricultural mobile robot. Methods of an ant colony, simulated annealing, prohibition search, and a genetic algorithm were considered as the basis for the development of a navigation system capable of selecting the best trajectory in terms of speed and safety according to several criteria. This paper does not compare work with science-based algorithms such as dynamic programming due to the high demands on computing power as the size of the task increases. The aim of the study

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McIntosh, Kristoff, Jean Reddinger, Sandipan Mishra, and Di Zhao. "Optimal Trajectory Generation for Transitioning Quadrotor Biplane Tailsitter using Differential Flatness." In Vertical Flight Society 77th Annual Forum & Technology Display. The Vertical Flight Society, 2021. http://dx.doi.org/10.4050/f-0077-2021-16858.

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This paper presents the development of an optimization-based trajectory planner for the autonomous transition of a quadrotor biplane tailsitter (QRBP) between the flight modes of hover to forward flight and forward flight to hover. The trajectory planner is formulated as an optimization problem with an embedded dynamic model of the QRBP, vehicle design constraints (e.g. power), physical constraints (e.g. stall) and initial/terminal states for the transition. A differentially flat reformulation is employed to reduce the computational cost of the trajectory planner for on-board mission planning.

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Shestakova, A. O., S. O. Sbrodov, and I. N. Glukhikh. "Development of a Software Solution for Scheduling for Individual Learning Trajectory." In International scientific and practical conference “Smart cities and sustainable development of regions” (SMARTGREENS 2024). Crossref, 2025. https://doi.org/10.63550/iceip.2025.1.1.106.

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This paper deals with the actual problem of creating efficient schedules in various spheres of human activity such as education and transportation. The difficulties in creating optimal schedules are related to a variety of constraints, requirements and constantly changing conditions. The paper discusses the main problems associated with scheduling and proposes approaches and methods to solve them using modern technologies and artificial intelligence techniques. A developed module for integration with an educational institution and a Telegram bot for scheduling classes are presented. The proces

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Borovik, V. S., V. V. Borovik, and O. V. Protsenko. "Modeling of Research Processes’ Automation." In International Conference on Finance, Economics, Management and IT Business (FEMIB 2024). Crossref, 2025. https://doi.org/10.63550/iceip.2025.17.48.001.

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An algorithm for trajectory implementation of scientific research management strategy was developed. Simulation was carried out using the specified algorithm. The calculations were performed using the developed model. It is found that it was advisable to analyze the trajectory of a managerial strategy as a certain realizable trajectory of management carried out within the boundaries of the hypersurface region surrounding the trajectory of optimal management. It was found that the distance from the optimal management trajectory, which determines the region of acceptable values, is estimated by

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Reports on the topic "Optimal trajectory development"

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Mousavi, Seyedmostafa, Behzad Rismanchi, Stefan Brey, and Lu Aye. Experimental evaluation of PCM embedded radiant chilled ceiling for efficient space cooling. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau609928685.

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Because of climate change, together with rapid urbanisation and continuous population growth, the global demand for space cooling is increasing dramatically. Under a business-as-usual trajectory, there will be a more than threefold rise in the number of in-use air conditioners worldwide by 2050. A radical shift to innovative space cooling technologies is therefore essential, ones that can sustainably meet the growing requirements. Phase change material embedded radiant chilled ceiling, called PCM-RCC, offers an emerging alternative for more sustainable space cooling provision. This system prov

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