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This paper introduces a method for optimizing bidding strategies of generation companies in long-term market and spot market, based on multi-agent reinforcement learning. This paper first proposes a mathematical model for generation companies' decision-...

A non‐collocated output tracking problem for a flexible string with tip payload at one end was studied in this paper, which is expected to describe by a wave equation coupled ordinary differential equation (ODE) system. The regulated output and ...

In this paper, we are concerned with the performance output tracking for a Schrödinger PDE-ODE cascaded system with external disturbances enter in all possible channels. The main challenge of the problem is the fact that the disturbances are non-...

Mobile power truck is an important component of power supply guarantee for electric power projects because of its convenience and flexibility, strong power supply capacity and other advantages, but there is a disadvantage of slow response speed in the ...

In recent years, due to the development of computer technology and information technology, web technology has changed the mode of translation at an alarming rate. The rapid development of information technology and globalization has increased the demand ...

Traditional elevator emergency dispatching platforms are limited by their computing power, they cannot automatically collect knowledge and learning information, and they can easily fall into local optimisation problems. Therefore, in the context of cloud ...

In this paper, we consider the output feedback exponential stabilization problem of ODE-Schrödinger cascade systems with the external disturbance. We propose a new extended state observer (ESO) that estimates both state and disturbance by the ...

The traditional elevator dispatching system has a long response time, resulting in poor scheduling performance. To this end, an elevator group intelligent dispatching system is designed under the large data platform. The overall structure of the system is ...

Deep learning object detection algorithm has been widely used in medical image analysis. Currently all the object detection tasks are based on the data annotated with object classes and their bounding boxes. On the other hand, medical images such ...

As there are various risks of failure when Web services are deployed in unreliable environment, the execution of a composite Web service CWS requires the transaction mechanism to guarantee its reliable execution. However, the existing service selection ...

In this paper, we are concerned with the boundary stabilization of a one-dimensional tip-force destabilized shear beam equation subject to boundary control matched disturbance. We use the sliding mode control (SMC) to deal with the disturbance. By the ...

In this paper, we are concerned with the boundary feedback stabilization of a cascade of heat PDE-ODE system with Dirichlet/Neumann interconnection and with the external disturbance flowing the control end. In order to deal with the disturbance, the ...

With the rapid development of Internet technology, information resources on the Internet become more abundant, but also bring some problems like diversity, heterogeneity, disorder, and redundancy. Given a brief expression like search keywords only, ...

We consider a problem of stabilization of a one-dimensional anti-stable linearized Schrödinger equation subject to boundary control. The controller is designed through the estimated state and is designed in the case that only displacement is available. ...

Urban rail transit system is spreaded to big and middle cities to solve the traffic jam in the process of urbanization over the China. In order to analyze the energy saving potential and measures, it is necessary to model the system of urban rail ...