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检索条件"机构=Laboratory for Intelligent Systems in Process Engineering"
166 条 记 录,以下是1-10 订阅
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Finite-Time Consensus of Second-Order Multiagent systems With Input Saturation via Hybrid Sliding-Mode Control
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IEEE Transactions on Automation Science and engineering 2025年 22卷 14623-14632页
作者: Jiang, Xiaowei Jiao, Ranran Li, Bo Zhang, Xianhe Yan, Huaicheng China University of Geosciences School of Automation Wuhan430079 China Ministry of Education Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Geodetection Technology Wuhan430074 China Ministry of Education Key Laboratory of System Control and Information Processing Shanghai200240 China Anhui University of Finance and Economics School of Finance Bengbu233030 China Hubei Normal University School of Electrical Engineering and Automation Huangshi435002 China Ministry of Education East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Shanghai200237 China
This paper addresses the finite-time consensus (FTC) issue for second-order multi-agent systems (MASs) with nonlinear disturbances. To tackle the challenges posed by increasingly complex communication environments, an... 详细信息
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intelligent systems in process engineering: A review
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COMPUTERS & CHEMICAL engineering 1996年 第6-7期20卷 743-791页
作者: Stephanopoulos, G Han, C Laboratory for Intelligent Systems in Process Engineering Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA 02139 U.S.A.
The purpose of this review is three-fold. First, sketch the directions that research and industrial applications of ''intelligent systems'' have taken in several areas of process engineering. Second, i... 详细信息
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Stealthy Attacks on Sampled-Data Control and Encryption-Based Countermeasures
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IEEE Transactions on Automatic Control 2025年
作者: Shang, Jun Li, Yuzhe Chen, Tongwen Tongji University Department of Control Science and Engineering Shanghai Institute of Intelligent Science and Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Shanghai200092 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110004 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 1H9 Canada
This paper investigates stealthy attacks on sampled-data control systems, where a continuous process is sampled periodically, and the resultant discrete output and control signals are transmitted through dual channels... 详细信息
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Edible aquatic robots with Marangoni propulsion
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Nature Communications 2025年 第1期16卷 1-9页
作者: Zhang, Shuhang Kwak, Bokeon Zhu, Ruihao Pankhurst, Markéta Zhang, Lu Boom, Remko M. Floreano, Dario Laboratory of Intelligent Systems School of Engineering École Polytechnique Fédérale de Lausanne STI-IGM-LIS Lausanne Switzerland Laboratory of Food Process Engineering Wageningen University and Research Wageningen Netherlands
Centimeter-scale aquatic robots could be used in environmental monitoring, exploration, and intervention in aquatic environments. However, existing robots rely on artificial polymers and commercial electronic componen...
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Distributed Online Convex Optimization with Time-Varying Constraints: Tighter Cumulative Constraint Violation Bounds under Slater's Condition
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IEEE Transactions on Automatic Control 2025年
作者: Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Hong, Yiguang Chai, Tianyou Johansson, Karl H. National Key Laboratory of Autonomous Intelligent Unmanned Systems Shanghai Institute of Intelligent Science and Technology China Ministry of Education Frontiers Science Center for Intelligent Autonomous Systems China Massachusetts Institute of Technology Lab for Information & Decision Systems CambridgeMA02139 United States Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Nanyang Technological University School of Electrical and Electronic Engineering 50 Nanyang Avenue 639798 Singapore Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Sweden Digital Futures Stockholm10044 Sweden
This paper considers distributed online convex optimization with time-varying constraints. In this setting, a network of agents makes decisions at each round, and then only a portion of the loss function and a coordin... 详细信息
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Distributed Event-Triggered Bandit Convex Optimization With Time-Varying Constraints
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IEEE Transactions on Control of Network systems 2025年
作者: Zhang, Kunpeng Yi, Xinlei Wen, Guanghui Cao, Ming Johansson, Karl H. Chai, Tianyou Yang, Tao Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Ministry of Education Shanghai Institute of Intelligent Science and Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Shanghai201210 China Southeast University School of Automation Nanjing210096 China University of Groningen Engineering and Technology Institute Groningen Faculty of Science and Engineering GroningenAG 9747 Netherlands KTH Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Stockholm10044 Sweden KTH Royal Institute of Technology Digital Futures Stockholm10044 Sweden
This paper considers the distributed bandit convex optimization problem with time-varying inequality constraints over a network of agents, where the goal is to minimize network regret and cumulative constraint violati... 详细信息
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Distributed Constrained Online Nonconvex Optimization with Compressed Communication
arXiv
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arXiv 2025年
作者: Zhang, Kunpeng Xu, Lei Yi, Xinlei Cao, Ming Johansson, Karl H. Chai, Tianyou Yang, Tao State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China Department of Mechanical Engineering University of Victoria VictoriaBCV8W 2Y2 Canada Shanghai Institute of Intelligent Science and Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Shanghai201210 China Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen GroningenAG 9747 Netherlands Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden Digital Futures Stockholm10044 Sweden
This paper considers distributed online nonconvex optimization with time-varying inequality constraints over a network of agents. For a time-varying graph, we propose a distributed online primal–dual algorithm with c... 详细信息
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DYNAMICS AND CONTROL OF THE CZOCHRALSKI process .1. MODELING AND DYNAMIC CHARACTERIZATION
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JOURNAL OF CRYSTAL GROWTH 1987年 第4期84卷 647-668页
作者: GEVELBER, MA STEPHANOPOULOS, G Department of Mechanical Engineering Laboratory for Intelligent Systems in Process Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Chemical Engineering Laboratory for Intelligent Systems in Process Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA
A nonlinear dynamic model of the Czochralski process, valid throughout the batch growth cycle is derived for use in designing an improved process controller. The model is a lumped element representation of the major s... 详细信息
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Quantized Distributed Nonconvex Optimization Algorithms with Linear Convergence under the Polyak–Lojasiewicz Condition
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IEEE Transactions on Automatic Control 2025年
作者: Xu, Lei Yi, Xinlei Sun, Jiayue Shi, Yang Johansson, Karl H. Yang, Tao Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China University of Victoria Department of Mechanical Engineering VictoriaBCV8W 2Y2 Canada Tongji University Shanghai Institute of Intelligent Science and Technology Shanghai201804 China KTH Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Stockholm100 44 Sweden
This paper considers distributed optimization for minimizing the average of local nonconvex cost functions, by using local information exchange over undirected communication networks. To reduce the required communicat... 详细信息
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A NEURAL NETWORK METHODOLOGY FOR process FAULT-DIAGNOSIS
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AICHE JOURNAL 1989年 第12期35卷 1993-2002页
作者: VENKATASUBRAMANIAN, V CHAN, K Laboratory for Intelligent Process Systems School of Chemical Engineering Purdue University West Lafayette IN 47907
The ability of knowledge-based expert systems to facilitate the automation of difficult problems in process engineering that require symbolic reasoning and an efficient manipulation of diverse knowledge has generated ... 详细信息
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