Small Leak Location for Intelligent Pipeline System Via Action-Dependent Heuristic Dynamic Programming

Author(s):  
Xuguang Hu ◽  
Huaguang Zhang ◽  
Dazhong Ma ◽  
Rui Wang ◽  
Pengfei Tu
2016 ◽  
Vol 817 ◽  
pp. 150-161 ◽  
Author(s):  
Marcin Szuster ◽  
Piotr Gierlak

The article focuses on the implementation of the globalized dual-heuristic dynamic programming algorithm in the discrete tracking control system of the three degrees of freedom robotic manipulator. The globalized dual-heuristic dynamic programming algorithm is included in the approximate dynamic programming algorithms family, that bases on the Bellman’s dynamic programming idea. These algorithms generally consist of the actor and the critic structures realized in a form of artificial neural networks. Moreover, the control system includes the PD controller, the supervisory term and an additional control signal. The structure of the supervisory term derives from the stability analysis, which was realized using the Lyapunov stability theorem. The control system works on-line and the neural networks’ weight adaptation process is realized in every iteration step. A series of computer simulations was realized in Matlab/Simulink software to confirm performance of the control system.


2020 ◽  
Vol 219 ◽  
pp. 02005
Author(s):  
Valery Stennikov ◽  
Dmitry Sokolov ◽  
Evgeny Barakhtenko

The problem of optimizing the transmission capacity of a pipeline network is important for ensuring its operability. The problem arises at different stages of the network life cycle (design, optimization, development). The problem is to determine the diameters of the pipelines, the locations of the pumps and the heads on them, the locations of the regulators (flow and pressure) and their parameters. The article proposes a new algorithm based on dynamic programming, which implements an original approach to organizing a computational procedure. The general principles of the algorithm and the content of its steps do not depend on the purpose of the network and the composition of its equipment. The algorithm is versatile and allows one to optimize networks for various purposes. The proposed algorithm is implemented in the IRNET software. On its basis, calculations were made for the development of real district heating systems.


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