Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A dynamic programming approach to optimal control of robotic manipulators
Date
1998-03-01
Author
Balkan, Raif Tuna
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
201
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/37508
Journal
MECHANICS RESEARCH COMMUNICATIONS
DOI
https://doi.org/10.1016/s0093-6413(98)00029-9
Collections
Department of Mechanical Engineering, Article
Suggestions
OpenMETU
Core
A nonlinear programming model approach to bank asset and liability management
Gökbayrak, Hakan; Güven, Çağlar; Department of Industrial Engineering (1996)
A continuous path planning approach on Voronoi diagrams for robotics and manufacturing applications
Özcan, Melih; Yaman, Ulaş (2019-01-01)
Coverage of an area is required for a large variety of robotics and manufacturing applications, such as environment monitoring, home cleaning, search and rescue operations, machining, delivery, additive manufacturing and even for 3D terrain reconstruction. In this work, we present highly flexible algorithms that can be used for coverage and graph traversal. Although our methods take advantage of variable-sized Voronoi cells, by which regular, irregular and complex geometries can be easily composed, it is no...
A stochastic approach for load scheduling of cogeneration plants
Doğan, Osman Tufan; Yeşin, Ahmet Orhan; Department of Mechanical Engineering (2010)
In this thesis, load scheduling problem for cogeneration plants is interpreted in the context of stochastic programming. Cogeneration (CHP) is an important technology in energy supply of many countries. Cogeneration plants are designed and operated to cover the requested time varying demands in heat and power. Load scheduling of cogeneration plants represents a multidimensional optimization problem, where heat and electricity demands, operational parameters and associated costs exhibit uncertain behavior. C...
A Probabilistic geometric model of self-organized aggregation in swarm robotic systems
Bayındır, Levent; Şahin, Erol; Department of Computer Engineering (2012)
Self-organized aggregation is the global level gathering of randomly placed robots using local sensing. Developing high performance and scalable aggregation behaviors for a swarm of mobile robots is non-trivial and still in need, when robots control themselves, perceive only a small part of the arena, and do not have access to information such as their position, the size of the arena or the number of robots. In this thesis, we developed a non-spatial probabilistic geometric model for self-organized aggregat...
A Deep reinforcement learning approach to network intrusion detection
Gülmez, Halim Görkem; Angın, Pelin; Department of Computer Engineering (2019)
Intrusion detection is one of the most important problems in today’s world. Every daynew attacks are being used in order to breach the security of systems and signature-based security systems fail to detect these zero-day attacks. An anomaly-basedintrusion detection system, particularly one that utilizes a machine learning approach,is needed to effectively handle these kinds of attacks. With the advancements in bigdata technologies, storing and handling data became easier, therefore big dataanalytics has be...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
R. T. Balkan, “A dynamic programming approach to optimal control of robotic manipulators,”
MECHANICS RESEARCH COMMUNICATIONS
, pp. 225–230, 1998, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37508.