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检索条件"任意字段=IEEE Data Driven Control and Learning Systems Conference"
28737 条 记 录,以下是161-170 订阅
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The Internal Mixers Temperature Iterative learning control  12
The Internal Mixers Temperature Iterative Learning Control
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ieee 12th data driven control and learning systems conference (DDCLS)
作者: Zhou, Zhihao Chi, Ronghu Qingdao Univ Sci & Technol Sch Automat & Elect Engn Qingdao 266061 Peoples R China
A data-driven iterative learning control (DDILC) method is proposed for the control of the internal mixer temperature (IMT) system with high complex dynamics. First, the dynamic relationships between plate heat exchan... 详细信息
来源: 评论
Design of data-driven Sliding Mode PID controller for Unknown Nonlinear System  13
Design of Data-driven Sliding Mode PID Controller for Unknow...
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13th ieee data driven control and learning systems conference, DDCLS 2024
作者: Cao, Shuang Xiong, Shuangshuang School of Automation Beijing Information Science and Technology University Beijing100192 China
In this article, a new data-driven adaptive sliding-mode PID control (DASPIDC) algorithm is proposed for a class of unknown nonlinear discrete systems based on full form dynamic linearization model. The designed algor... 详细信息
来源: 评论
Finite-Time Fuzzy Adaptive control for MIMO Nonlinear MASs  12
Finite-Time Fuzzy Adaptive Control for MIMO Nonlinear MASs
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ieee 12th data driven control and learning systems conference (DDCLS)
作者: Bai, Ziqi Bi, Wenshan Li, Yuanxin Sui, Shuai Liaoning Univ Technol Jinzhou 121000 Peoples R China
This article considers the finite-time consistency control issue of high-order multi-input and multi-output (MIMO) nonlinear multi-agent systems (MASs). In the process of establishment, this article uses fuzzy logic s... 详细信息
来源: 评论
Iterative learning control for moving boundary distributed parameter systems with control delays under sensor/actuator networks  12
Iterative learning control for moving boundary distributed p...
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ieee 12th data driven control and learning systems conference (DDCLS)
作者: Gong, Weitai Zhang, Jianxiang Dai, Xisheng Tian, Bo Guangxi Univ Sci & Technol Inst Intelligent Syst & Control Liuzhou 54500 Peoples R China
The iterative learning control problem of moving boundary distributed parameter systems with control delay under sensor/actuator networks is studied. A P-type iterative learning algorithm with known delays is proposed... 详细信息
来源: 评论
Bayesian Formal Synthesis of Unknown systems via Robust Simulation Relations
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ieee TRANSACTIONS ON AUTOMATIC control 2025年 第3期70卷 1531-1546页
作者: Schoen, Oliver van Huijgevoort, Birgit Haesaert, Sofie Soudjani, Sadegh Newcastle Univ Sch Comp Newcastle Upon Tyne NE4 5TG England Eindhoven Univ Technol TU Elect Engn Dept NL-5612 Eindhoven Netherlands Max Planck Inst Software Syst D-67663 Kaiserslautern Germany
This article addresses the problem of data-driven computation of controllers that are correct by design for safety-critical systems and can provably satisfy (complex) functional requirements. With a focus on continuou... 详细信息
来源: 评论
Adaptive Iterative learning control for Industry Batch Process with Time-Varying and Unknown Parameters  12
Adaptive Iterative Learning Control for Industry Batch Proce...
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ieee 12th data driven control and learning systems conference (DDCLS)
作者: Li, Peiyuan Li, Panshuo Guangdong Univ Technol Inst Intelligent Decis Making & Cooperat Control Sch Automat Guangzhou 510006 Peoples R China
The batch process is a typical manufacturing mode in industry. In this article, an adaptive ILC method is proposed for the batch process with time-varying and unknown parameters. The proposed method involves merging a... 详细信息
来源: 评论
Gradient-Based Iterative learning control for Signal Quantization with Encoding-Decoding Mechanism  12
Gradient-Based Iterative Learning Control for Signal Quantiz...
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ieee 12th data driven control and learning systems conference (DDCLS)
作者: Tao, Yujuan Huang, Yande Tao, Hongfeng Chen, Yiyang Jiangnan Univ Minist Educ Key Lab Adv Proc Control Light Ind Wuxi 214122 Jiangsu Peoples R China Soochow Univ Sch Mech & Elect Engn Suzhou 215137 Peoples R China
This paper addresses the optimization problem of quantized iterative learning control (ILC) for networked control systems (NCSs) with limited bandwidth. For linear time-invariant systems with quantized input signals, ... 详细信息
来源: 评论
Synchronization of complex dynamic networks with time-varying coupled delays for sampled data control  12
Synchronization of complex dynamic networks with time-varyin...
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ieee 12th data driven control and learning systems conference (DDCLS)
作者: An, Yuying Cheng, Long Sun, Jianqiang Chen, Xiangyong Liu, Yang Qiu, Jianlong Linyi Univ Sch Automat & Elect Engn Linyi 276000 Shandong Peoples R China Qingdao Univ Sci & Technol Coll Automat & Elect Engn Qingdao 266000 Shandong Peoples R China
This paper researches the synchronisation problem of complex dynamic networks with time-varying coupling delays based on sampled data control. First, a new Lyapunov-Krasovskii function (LKF) is constructed and then li... 详细信息
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Reinforcement Q-learning and Non-Zero-Sum Games Optimal Tracking control for Discrete-Time Linear Multi-Input systems  12
Reinforcement Q-Learning and Non-Zero-Sum Games Optimal Trac...
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ieee 12th data driven control and learning systems conference (DDCLS)
作者: Zhao, Jin-Gang Weifang Univ Sch Machinery & Automat Weifang 261061 Shandong Peoples R China
This paper studies the optimal tracking control problem of discrete-time linear multi-input systems from the perspective of Non-Zero-Sum Games (NZSG) using reinforcement Q-learning technique. Firstly, an augmented mul... 详细信息
来源: 评论
Regret Analysis of learning-Based MPC With Partially Unknown Cost Function
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ieee TRANSACTIONS ON AUTOMATIC control 2024年 第5期69卷 3246-3253页
作者: Dogan, Ilgin Shen, Zuo-Jun Max Aswani, Anil Univ Calif Berkeley Ind Engn & Operat Res Berkeley CA 94720 USA Univ Hong Kong Fac Engn Hong Kong Peoples R China Univ Hong Kong Fac Business & Econ Hong Kong Peoples R China
The exploration-exploitation tradeoff is an inherent challenge in data-driven adaptive control. Though this tradeoff has been studied for multiarmed bandits (MABs) and reinforcement learning for linear systems, it is ... 详细信息
来源: 评论