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检索条件"任意字段=9th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2020"

共 506 条记录，以下是141-150 订阅

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Bagging-ELM Model for Heating Furnace thermal Efficiency Prediction 9

Bagging-ELM Model for Heating Furnace Thermal Efficiency Pre...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Shang, Kai Zeng, Xianglong Dong, Xiaorui Shengli Coll China Univ Petr Qingdao 257061 Shandong Peoples R China China Huanqiu Contracting & Engn Beijing Co Ltd Beijing 100012 Peoples R China

ISBN: (纸本)9781728159225

thermal efficiency is a very important index for heating furnace in chemical industry. In order to predict the complicated variables, the Bagging-ELM network based on ensemble learning and Extreme learning Machine is adopted. the proposed model is applied to predicting the net hourly electrical energy output in Combined Cycle Power Plant data set and the thermal efficiency of the heating furnace. there is a comparison between the results generated by Bagging-ELM model and those generated by BP model, RBF model, ELM model. Compared with other models, the Bagging-ELM can obtain higher accuracy and stability.

关键词： ELM Ensemble learning Heating furnace thermal efficiency

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Optimal Predictive Delay Compensation for Robot Networked control System 9

Optimal Predictive Delay Compensation for Robot Networked Co...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Chen, Dihan Liu, Xia Xihua Univ Sch Elect Engn & Elect Informat Chengdu 610039 Peoples R China

ISBN: (纸本)9781728159225

In order to solve the problem of random delay in robot networked control system, an optimal predictive compensation control method is designed. the state observer is used to observe the joint position information of the robot at the current time, and it is sent to the control predictive generator. the predictive generator forecasts and calculates the control input at the later time, and optimizes the predictive result of the control input by rolling optimization. Finally, simulations are conducted on a two-joint robot networked control system. the simulation results show that the method can effectively compensate for the influence of random delay and packet disorder on the position tracking performance of the system.

关键词： robot networked control system random delay state observer predictive compensation rolling optimization

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Distributed Optimal Coordination control for Continuous-Time Nonlinear Multi-Agent systems With Input Constraints 9

Distributed Optimal Coordination Control for Continuous-Time...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Deng, Yunhong Xiao, Jun Wei, Qinglai Univ Chinese Acad Sci Beijing 100049 Peoples R China

ISBN: (纸本)9781728159225

U this paper is concerned with an optimal coordination control problem for nonlinear multi-agent systems (MASs) with constraints of the control inputs. the idea of daptive dynamic programming (ADP) algorithm is to use the policy iteration to solve the coupled Hamilton-Jacobi equations. First, a suitable non-quadratic functional is introduced into the cost function to transform the question into an optimization problem. Second, a distributed control law is designed for each agent, which aims that the cost function of the MASs converge to Nash equilibrium. Next, the analysis of the convergence is indicated that the iterative cost functions of nonlinear multi-agent systems is convergent. Neural network (NNs) are used to approximate the cost functions for the calculation of the control laws. Finally, simulation results show the effectiveness of the coordination control algorithm.

关键词： Adaptive dynamic programming (ADP) multi-agent systems Nash equilibrium reinforcement learning optimal control

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Active disturbance rejection control for a quadrotor UAV 9

Active disturbance rejection control for a quadrotor UAV

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Wang, Zhikai Huang, Deqing Huang, Tianpeng Qin, Na Southwest Jiaotong Univ Sch Elect Engn Chengdu 611756 Peoples R China

ISBN: (纸本)9781728159225

the design of robust tracking control for a quadrotor is an important and challenging problem nowadays. In the paper, an active disturbance rejection control (ADRC) technique is developed for attitude and altitude tracking of a quadrotor unmanned aerial vehicle (UAV) system subject to external disturbances. the nonlinear dynamics model of quadrotor is first obtained by Newton-Euler formula. then, the control law, consisting of tracking differentiator (TD), extended state observers (ESO) and state error feedback (SEF) is designed. Finally, numerical simulations and experimental tests are conducted to illustrate the effectiveness of the proposed control strategy

关键词： Quadrotor active disturbance rejection control disturbance experiment

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Backstepping Sliding Mode Maneuvering control for a Class of Surface Ships 9

Backstepping Sliding Mode Maneuvering Control for a Class of...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Ma, Jie Ren, Junsheng Bai, Weiwei Li, Hongyi Dalian Maritime Univ Nav Coll Dalian 116026 Peoples R China Guangdong Univ Technol Sch Automat Guangzhou 510006 Peoples R China

ISBN: (纸本)9781728159225

this paper investigates the maneuvering problem for a class of surface ships in the presence of wave disturbance. the maneuvering problem involves the geometric task and the speed assignment along the path. In order to solve the maneuvering problem, a backstepping sliding mode controller are designed under the wave influence. By establishing the conversing law between the thrust and propeller rotational speed, the rotational speed and rudder angle are taken as the controller output signal. Simulation results verify the controller is valid.

关键词： Backstepping Maneuvering Problem Sliding Mode control Surface Ship thrust and RPM Conversing Law

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data Analysis and Practical Strategies on Opioid Crisis 9

Data Analysis and Practical Strategies on Opioid Crisis

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Yang, Donghao Yang, Zhihui Huaibei Normal Univ Sch Math Sci Huaibei 235000 Peoples R China Anhui Univ Finance & Econ Sch Stat & Appl Math Bengbu 233030 Peoples R China

ISBN: (纸本)9781728159225

In view of the time-dependent spread and characteristics of synthetic opioids and heroin reported between five states and their counties in the US, aiming at the correlation analysis between opioid-like use and the social and economic data of the US census, the optimal C5.0 algorithm and data flow network model are used to model the decision tree, and the quantitative results of the related factors of opioid-like use are obtained. We try to simplify the model, making the whole process clear, easy to understand. the practices described herein provide one set of practical strategies and tools for potential use.

关键词： Opioid community discovery algorithm priori algorithm Python

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Robust Adaptive control of A Disturbed Chua's Circuit with Circuit Implementation 9

Robust Adaptive Control of A Disturbed Chua's Circuit with C...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Jiang, Cheng-Cheng Jin, Xiao-Zheng Hefei Univ Technol Sch Elect Engn & Automat Hefei 230009 Peoples R China Qilu Univ Technol Sch Comp Sci & Technol Shandong Acad Sci Jinan 250353 Peoples R China

In this paper, a circuit implementation scheme is designed for the adaptive algorithm applied to the disturbed Chua9;s circuit system. Firstly, in order to effectively suppress the adverse effects of unknown distur... 详细信息

ISBN: (纸本)9781728159225

In this paper, a circuit implementation scheme is designed for the adaptive algorithm applied to the disturbed Chua's circuit system. Firstly, in order to effectively suppress the adverse effects of unknown disturbances on the system, the input of the system is designed by using the method of adaptive parameter adjustment. then, the asymptotic stability of the ADRC system is proved by lyapunov theorem. Besides, the pure circuit implementation scheme of the control algorithm is given by using the combination of some basic analog components. Finally, the software Multisim is used to do the circuit simulation experiments, and the experiment results show that the circuit design scheme of the algorithm is correct.

关键词： Circuit implementation adaptive algorithm Chua's circuit

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Design and Application of Intelligent Diagnosis Model Based on data driven 9

Design and Application of Intelligent Diagnosis Model Based ...

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9th ieee data driven control and learning systems conference (ddcls)

作者： Zhang, Guihua Yao, Jie Wu, Peng Chongqing Chuanyi Software Co Ltd Chongqing 401121 Peoples R China Chongqing Univ Coll Automat Chongqing 400044 Peoples R China

ISBN: (纸本)9781728159225

In this paper, an intelligent diagnosis model is designed based on stress wave technology. the model includes two parts: primary diagnosis and advanced diagnosis. the primary diagnosis model mainly uses the K-Means algorithm to realize the function of automatic hierarchical warning. After the hierarchical warning is triggered, the advanced diagnostic model obtains multiple sets of spectrum data through systematic sampling, and uses the enumeration algorithm to select the most representative one from it to achieve automatic output of fault information and alarm functions. the intelligent diagnosis model is applied to the axial flow fan. the output of the model is the same as the analysis result of the professional, indicating that the model is well applied to the axial flow extension.

关键词： K-Means Algorithm Graded Warning of Mechanical Failure Intelligent Diagnosis data driven

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A Multi-Label Method of State Partition and Fault Diagnosis Based on Binary Relevance Algorithm 9

A Multi-Label Method of State Partition and Fault Diagnosis ...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Li, Fengying Ma, Xin Wang, Youqing Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing 100029 Peoples R China Shandong Univ Sci & Technol Qingdao 266590 Shandong Peoples R China

ISBN: (纸本)9781728159225

Prognostics and health management (PHM) is an important topic of rolling bearing, so partition of healthy stage and different degree of fault states are equally important as fault types. this study uses a multi-label learning method, Binary Relevance (BR) algorithm, for fault diagnosis of bearing data based on both of states partition and fault types judgment. the Binary Relevance algorithm simplifies the classification process by transforming the multi-classification problem into multiple binary classification problems. Using extreme learning machine ensures the classification speed and effect. By comparative experiments on XJTU-SY bearing datasets, the effectiveness of our method is proved to be superior.

关键词： Multi-label learning Binary Relevance state partition fault diagnosis

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Finite-Time Annular Domain Stability and Stabilization of Discrete-Time Stochastic systems 9

Finite-Time Annular Domain Stability and Stabilization of Di...

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9th ieee data driven control and learning systems conference (ddcls)

作者： Yan, Zhiguo Lv, Qingfeng Hu, Guolin Du, Mingjun Qilu Univ Technol Shandong Acad Sci Sch Elect Engn & Automat Jinan 250353 Peoples R China Shandong Univ Sch Control Sci & Engn Jinan 250061 Peoples R China

ISBN: (纸本)9781728159225

this paper discusses the problems of the finite-time annular domain stability (FTAD-stability) and stabilization of discrete-time stochastic systems (DTSS). First, a definition of FTAD-stability for DTSS is given and a stability criterion is also proposed. Second, we respectively give some sufficient conditions for the existence of state feedback controller (SFC), static output feedback controller (SOFC) and dynamic output feedback controller (DOFC). Finally, a numerical example is utilized to show the effectiveness of proposed method.

关键词： Discrete-time stochastic systems finite-time stability (FTS) linear matrix inequality (LMI)

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