Based on the rate control method of the wind power fluctuation, this paper proposes an adaptive dynamic programming (ADP) based method to optimize the power of battery energy storage systems (BESS) adaptively. On the ...
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ISBN:
(纸本)9781467384155
Based on the rate control method of the wind power fluctuation, this paper proposes an adaptive dynamic programming (ADP) based method to optimize the power of battery energy storage systems (BESS) adaptively. On the one hand, this method can be used to adjust the unstable wind and BESS hybrid power output so as to satisfy the requirements of wind power. On the other hand, this method can be used to control the battery state of charge (SOC) maintained within a suitable range, to achieve a reasonable charge and discharge function of the battery. Take a typical wind farm's output as example, under the limitation of wind power volatility and battery state of charge, this paper shows the experiment that through the real-time online optimization of the smoothing process. The simulation results show the effectiveness and feasibility of the proposed coordinated control strategy based on ADP.
Social media has exploded beyond anyone's wildest imagination, and User Generated Content (UGC) is propagated online at an unparalleled level. Organizing and associating the heterogeneous UGC data in different soc...
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This paper studies the problem of robust decentralized control for a class of large-scale interconnected systems subject to uncertainties and disturbances via a generalized active disturbance rejection control method....
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ISBN:
(纸本)9789881563897
This paper studies the problem of robust decentralized control for a class of large-scale interconnected systems subject to uncertainties and disturbances via a generalized active disturbance rejection control method. First, a novel extended state observer(ESO) is constructed separately for each subsystem with less dependence of the precise system information and structure. Second, an explicit formula of the decentralized active disturbance rejection control(DADRC) law is presented by utilizing the output feedback domination approach. It is shown that by a delicate analysis procedure, the closed-loop system can be rendered semi-globally asymptotically stable only using decentralized output feedback anti-disturbance controller. Numerical simulations show the efficiency of the proposed method.
In this paper,an iterative adaptive dynamic programming(ADP) algorithm is developed to solve the optimal cooperative control problems for residential multi-battery *** avoid solving high-dimensional optimal control pr...
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In this paper,an iterative adaptive dynamic programming(ADP) algorithm is developed to solve the optimal cooperative control problems for residential multi-battery *** avoid solving high-dimensional optimal control problems,we first constrain all the batteries at their worst performance,which transforms the multi-input optimal control problem into a single-input *** on the worst-performance optimal control law,the optimal cooperative control law for the residential multi-battery systems is obtained,where in each iteration,only a single-input optimization problem is ***,numerical results are given to illustrate the performance of the developed algorithm.
In recent years, microblog has become one of the most widely used social media for people to exchange ideas and express emotions. As information propagates fast in social network, it's crucial for governments and ...
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ISBN:
(纸本)9781479998906
In recent years, microblog has become one of the most widely used social media for people to exchange ideas and express emotions. As information propagates fast in social network, it's crucial for governments and public agencies to effectively monitor public sentiment implied in user-generated content. Most previous work of public sentiment analysis takes tweets of different users as a whole without considering the diverse word use of people. Thus, some sentiment words may be neglected in the process of analysis because they are only used by people of specific groups. Inspired by previous psychological findings that personality influences the ways people write and talk, we propose a personality based sentiment classification method. In order to capture more useful but not widely used sentiment words, our approach extracts textual features for people of different personality traits based on the Big Five model. Moreover, we adopt an ensemble learning strategy to utilize both personality related and commonly used textual features. Experimental study shows the effectiveness of our method.
作者:
Xia Yuanqingthe School of Automation
Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081
The concept of cloud controlsystems is discussed in this paper, which is an extension of networked controlsystems (NCSs). With the development of internet of things (IOT), the technology of NCSs has played a key rol...
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The concept of cloud controlsystems is discussed in this paper, which is an extension of networked controlsystems (NCSs). With the development of internet of things (IOT), the technology of NCSs has played a key role in IOT. At the same time, cloud computing is developed rapidly, which provides a perfect platform for big data processing, controller design and performance assessment. The research on cloud controlsystems will give new contribution to the control theory and applications in the near future.
In this paper, we establish a neural-network-based online learning algorithm to solve the finite horizon linear quadratic regulator (FHLQR) problem for partially unknown continuous-time systems. To solve the FHLQR pro...
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In this paper, we establish a neural-network-based online learning algorithm to solve the finite horizon linear quadratic regulator (FHLQR) problem for partially unknown continuous-time systems. To solve the FHLQR problem with partially unknown system dynamics, we develop a time-varying Riccati equation. A critic neural network is used to approximate the value function and the online learning algorithm is established using the policy iteration technique to solve the time-varying Riccati equation. An integral policy iteration method and a tuning law are used when the algorithm is implemented without the knowledge of the system drift dynamics. We give a simulation example to show the effectiveness of this algorithm.
In this paper, we present a novel robotic fish capable of maneuverability and yet with less joints. The maneuverability of the robotic fish is researched on two aspects: straight swimming and performing a turn before ...
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ISBN:
(纸本)9781479970995
In this paper, we present a novel robotic fish capable of maneuverability and yet with less joints. The maneuverability of the robotic fish is researched on two aspects: straight swimming and performing a turn before which, the mechanical structure, dynamic formula and posture of robotic fish are respectively designed and analyzed. Besides, the CPG-based control and the analysis of variation regulation in the oscillation amplitude of the fish tail are combined to determine the posture of the robotic fish. Next, underwater tests are performed on the robotic fish for collecting the data which provides the information to draw many conclusions.
In this paper,based on echo state network(ESN),a data-driven method is developed to solve the room classification problem of office *** developed method is divided into two *** the data of electricity consumption,whic...
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ISBN:
(纸本)9781479970186
In this paper,based on echo state network(ESN),a data-driven method is developed to solve the room classification problem of office *** developed method is divided into two *** the data of electricity consumption,which are classified into electricity consumption from sockets,lights and air-conditioners for a typical room in an office building,the first step is to reconstruct the behavior of electricity consumption in three types by using three *** second step is to classify the room into a certain category of office room,computer room,storage room and meeting room by establishing another *** developed method fully utilizes the outstanding performance of ESN in chaotic time-series prediction and *** study on an office building illustrates the accuracy and effectiveness of the developed method.
This paper studies a coordinated transportation problem of a group of unmanned ground vehicles(UGVs). These ground vehicles belong to two categories: master vehicles and slave vehicles. A two-step strategy is proposed...
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ISBN:
(纸本)9781467374439
This paper studies a coordinated transportation problem of a group of unmanned ground vehicles(UGVs). These ground vehicles belong to two categories: master vehicles and slave vehicles. A two-step strategy is proposed to solve this problem. First, let the master vehicles move along ideal trajectories. Then, let the slave vehicles move into the area surrounded by master vehicles and move together with them. By the two-step strategy, the coordinated transportation problem is divided into a tracking problem and a containment problem. A P In-type tracking protocol and a P In-type containment protocol(P and I stand for Proportion and Integration, respectively;Inimplies that the protocol includes high-order integral terms) are proposed to solve these two problems. It is proved that the coordinated transportation problem can be solved by two proposed protocols with proper parameters if for each follower there exists at least one leader which has a directed path to this follower. Finally, a simulation example is presented to demonstrate the effectiveness of the proposed algorithms.
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