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centralized-optimization
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Centralized home energy management in multi-carrier energy frameworks
, Article 2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings, 10 June 2015 through 13 June 2015 ; 2015 , Pages 1562-1566 ; 9781479979936 (ISBN) ; Fotuhi-Firuzabad, M ; Zareipour, H ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
This paper proposes a centralized optimization-based home energy management (HEM) scheme in a macro energy hub structure. An energy hub management system manages the aggregated load of a group of residential micro energy hubs to minimize the total load deviation. The operational characteristics of the household appliances and the threshold energy cost of the customers are incorporated in the propounded method to provide the customers' comfort. Numerical studies show the effectiveness of the proposed method performance
A fuzzy based model coordination for two-level optimal control of robot manipulators
, Article Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 9 November 2015 through 11 November 2015 ; Volume 2016-January , 2016 , Pages 1122-1128 ; 10823409 (ISSN) ; 9781509001637 (ISBN) ; Sadati, N ; Sharif University of Technology
IEEE Computer Society
2016
Abstract
In this paper, a new fuzzy based Model Coordination (F-MC) strategy is proposed for hierarchical control of large-scale systems (LSS). To solve the overall problem with a two-level optimal control strategy, we first decompose the system into several sub-systems at the first level. Then, at the second level, a fuzzy coordinator will be used to predict the interaction between subsystems. The proposed fuzzy based coordination approach is applicable to all types of LSS. Although in this paper, an optimal control of a 2DOF robot manipulator, as a LSS, will be considered. The obtained results are compared with the centralized optimization
Optimal control of robot manipulators using fuzzy interaction prediction system
, Article 2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006, Kunming, 17 December 2006 through 20 December 2006 ; 2006 , Pages 1071-1076 ; 1424405718 (ISBN); 9781424405718 (ISBN) ; Emamzadeh, M. M ; Sharif University of Technology
2006
Abstract
In this paper, a new fuzzy coordination method based on Interaction Prediction Principle (IPP) is presented for the optimal control of robot manipulators. For this purpose, the robot manipulator is considered as a two-level large-scale system where in the first level, the overall system is decomposed into several subsystems. Each subsystem can include one or more consecutive links and joints. In the second level, a fuzzy interaction prediction system is introduced for coordination of the overall system where a critic vector is also used for evaluation of its performance. The simulation results of using the proposed novel approach ,for optimal control of robot manipulators, show its...