Multi-robot systems are becoming widely popular in applications where a rapid response is required or where various different robotic capabilities are required. Applications such as surveillance, or search and rescue,...
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Multi-robot systems are becoming widely popular in applications where a rapid response is required or where various different robotic capabilities are required. Applications such as surveillance, or search and rescue, would require an efficient team that can be deployed and optimally dispersed over the environment. This is known as the coverage control problem. The solution to this research optimization problem is affected by several external aspects, such as characteristics of the environment as well as factors that pertain to the robotic team. This work proposes a novel solution to the complete coverage problem where the team of robots is restricted with energy limitations, and must cover an environment that has time-varying regions of importance. Our results show that in a realistic scenario, where the robots have limited energy for the task in question, the proposed solution performs significantly better than a typical coverage algorithm which disregards the energy considerations of the robotic team.
As China's steel production accounts for an increasing share of the world's output, the intelligent transformation of the steel industry is becoming increasingly urgent. To address issues such as low levels of...
As China's steel production accounts for an increasing share of the world's output, the intelligent transformation of the steel industry is becoming increasingly urgent. To address issues such as low levels of mobile informationization in steel enterprises and the lack of an industry-specific mobile application platform, it is of great significance to establish a shared mobile application platform for the steel industry. In this paper, the requirements of the platform were analyzed, and the platform's functions were designed. The software design of the platform was then carried out, and the entire mobile application sharing platform was developed, effectively improving the production management efficiency of steel enterprises. The results indicate that the platform can effectively meet the needs of steel enterprises and has significant engineering significance.
This work investigates the solution of Mixed-Integer Optimal control Problems (MIOCPs) for an existing residential heating network. The network consists of several buildings that are interconnected through a district ...
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ISBN:
(数字)9783907144077
ISBN:
(纸本)9781665497336
This work investigates the solution of Mixed-Integer Optimal control Problems (MIOCPs) for an existing residential heating network. The network consists of several buildings that are interconnected through a district heating network and a biomethane combined heat and power (CHP) plant. All buildings have access to decentralized heat generation, in the form of solar thermal collectors on the rooftops of the buildings. Buildings with surplus heat are intended to transfer heat to buildings with heating demands in order to prevent the activation of the CHP plant. Additional storage provide further flexibility for storage and utilization of heat. Binary variables represent the exchange relations between buildings and the CHP plant. For this system, we solve an MIOCP in two different ways. On the one hand, we keep the system related nonlinearities and apply the Combinatorial Integral Approximation (CIA) method to the arising Mixed-Integer Nonlinear Program (MINLP). On the other hand, we apply a linear reformulation yielding a Mixed-Integer Linear Program (MILP), which we solve using a standard MILP solver. We show that the MINLP approach has a computational advantage over the MILP approach, while yielding only slightly worse results in the single-digit percentage range for selected key figures.
Combining pre-oxidation with activated carbon adsorption was explored as an ideal approach for removing iodine from water source to eliminate the formation of Iodinated trihalomethanes (I-THMs). Compared with permanga...
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False data injection (FDI) cyber-attacks on power systems can be prevented by strategically selecting and protecting a sufficiently large measurement subset, which, however, requires adequate cyber-defense resources f...
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This paper proposes a deep reinforcement learning (DRL) based adaptive sparsity promoting wide-area damping controller for power system. Different from traditional fixed wide-area control structure, the proposed metho...
This paper proposes a deep reinforcement learning (DRL) based adaptive sparsity promoting wide-area damping controller for power system. Different from traditional fixed wide-area control structure, the proposed method employs DRL algorithm to identify the optimal sparsity promoting control structure and obtain corresponding parameter settings under different operating conditions considering the time-delay and packet drop. Simulation are carried out on 10-machine 39-bus system to demonstrate the effectiveness of the proposed approach.
This two-part paper develops a non-iterative coordinated optimal dispatch framework, i.e., free of iterative information exchange, via the innovation of the equivalent projection (EP) theory. The EP eliminates interna...
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This article presents a comparative study of two topologies of three-phase photovoltaic inverters connected to the grid, between the usual two-level inverter and three-level NPC (Neutral Point Clamped) inverter. Inver...
This article presents a comparative study of two topologies of three-phase photovoltaic inverters connected to the grid, between the usual two-level inverter and three-level NPC (Neutral Point Clamped) inverter. Inverter control and the boost converter MPPT controller are based on the SRF-dq method and the INC algorithm respectively. The comparison relies on evaluating the overall efficiency and harmonic distortion of the inverter. All circuits are modeled and simulated using Matlab-Simulink. The results obtained indicate satisfaction with the quality, of the current and voltage injected into the electrical grid, and reflect that both inverters are efficient and comply with IEEE-519 standard recommendations, but the three-level inverter performs better results than the two-level inverter.
A human-machine safety system based on multi-target detection and tracking is proposed for the safety problems in the human-machine coexistence environment. For the motion state of pedestrians, the YOLOv5 detection al...
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This paper deals with the validation of the concept of using virtual commissioning of the low-level industrial controlsystems to adjust PID controller settings. General hardware configurations and logical layers of t...
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