Trajectory-Smooth Optimization and Simulation of Dual-Robot Collaborative Welding

2021 ◽  
pp. 699-709
Author(s):  
Jiahao Xiong ◽  
Zhongtao Fu ◽  
Miao Li ◽  
Zhicheng Gao ◽  
Xiaozhi Zhang ◽  
...  
2019 ◽  
Vol 27 (3) ◽  
pp. 737-758 ◽  
Author(s):  
Ľudmila Jánošíková ◽  
Marek Kvet ◽  
Peter Jankovič ◽  
Lýdia Gábrišová

2017 ◽  
Vol 9 (3) ◽  
pp. 168781401769413
Author(s):  
Shu-yan Wang ◽  
Jun Zhu ◽  
Xin-guo Wang ◽  
Qin-feng Li ◽  
Hui-yun Zhu ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3663
Author(s):  
Stefano Bianchi ◽  
Allegra De Filippo ◽  
Sandro Magnani ◽  
Gabriele Mosaico ◽  
Federico Silvestro

The VIRTUS project aims to create a Virtual Power Plant (VPP) prototype coordinating the Distributed Energy Resources (DERs) of the power system and providing services to the system operators and the various players of the electricity markets, with a particular focus on the industrial sector agents. The VPP will be able to manage a significant number of DERs and simulate realistic plants, components, and market data to study different operating conditions and the future impact of the policy changes of the Balancing Markets (BM). This paper describes the project’s aim, the general structure of the proposed framework, and its optimization and simulation modules. Then, we assess the scalability of the optimization module, designed to provide the maximum possible flexibility to the system operators, exploiting the simulation module of the VPP.


Author(s):  
Michael M. Tiller ◽  
Jonathan A. Dantzig

Abstract In this paper we discuss the design of an object-oriented framework for simulation and optimization. Although oriented around high-level problem solving, the framework defines several classes of problems and includes concrete implementations of common algorithms for solving these problems. Simulations are run by combining these algorithms, as needed, for a particular problem. Included in this framework is the capability to compute the sensitivity of simulation results to the different simulation parameters (e.g. material properties, boundary conditions, etc). This sensitivity information is valuable in performing optimization because it allows the use of gradient-based optimization algorithms. Also included in the system are many useful abstractions and implementations related to the finite element method.


Author(s):  
George Uwadiegwu Alaneme ◽  
Imoh Christopher Attah ◽  
Elvis Michael Mbadike ◽  
Mark Uzochukwu Dimonyeka ◽  
Idorenyin Ndarake Usanga ◽  
...  

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