IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics最新文献_第9页

Robust adaptive control of cooperating mobile manipulators with relative motion. 具有相对运动的协作移动机械臂鲁棒自适应控制。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2009-02-01 DOI: 10.1109/TSMCB.2008.2002853

Zhijun Li, Pey Yuen Tao, Shuzhi Sam Ge, Martin Adams, Wijerupage Sardha Wijesoma

引用次数: 54

Generalized rough sets, entropy, and image ambiguity measures. 广义粗糙集，熵和图像模糊度量。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2009-02-01 DOI: 10.1109/TSMCB.2008.2005527

Debashis Sen, Sankar K Pal

引用次数: 98

Dual adaptive dynamic control of mobile robots using neural networks. 基于神经网络的移动机器人双自适应动态控制。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2009-02-01 DOI: 10.1109/TSMCB.2008.2002851

Marvin K Bugeja, Simon G Fabri, Liberato Camilleri

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引用次数: 98

Intelligent robust tracking control for a class of uncertain strict-feedback nonlinear systems. 一类不确定严格反馈非线性系统的智能鲁棒跟踪控制。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2009-02-01 DOI: 10.1109/TSMCB.2008.2002854

Yeong-Chan Chang

{"title":"Intelligent robust tracking control for a class of uncertain strict-feedback nonlinear systems.","authors":"Yeong-Chan Chang","doi":"10.1109/TSMCB.2008.2002854","DOIUrl":"https://doi.org/10.1109/TSMCB.2008.2002854","url":null,"abstract":"This paper addresses the problem of designing robust tracking controls for a large class of strict-feedback nonlinear systems involving plant uncertainties and external disturbances. The input and virtual input weighting matrices are perturbed by bounded time-varying uncertainties. An adaptive fuzzy-based (or neural-network-based) dynamic feedback tracking controller will be developed such that all the states and signals of the closed-loop system are bounded and the trajectory tracking error should be as small as possible. First, the adaptive approximators with linearly parameterized models are designed, and a partitioned procedure with respect to the developed adaptive approximators is proposed such that the implementation of the fuzzy (or neural network) basis functions depends only on the state variables but does not depend on the tuning approximation parameters. Furthermore, we extend to design the nonlinearly parameterized adaptive approximators. Consequently, the intelligent robust tracking control schemes developed in this paper possess the properties of computational simplicity and easy implementation. Finally, simulation examples are presented to demonstrate the effectiveness of the proposed control algorithms.","PeriodicalId":55006,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics","volume":" ","pages":"142-55"},"PeriodicalIF":0.0,"publicationDate":"2009-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TSMCB.2008.2002854","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39997935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

On Hybrid Impulsive and Switching Neural Networks 混合脉冲和切换神经网络

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2008-12-01 DOI: 10.1109/TSMCB.2008.928233

Chuandong Li, G. Feng, Tingwen Huang

引用次数: 104

2008 Index IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans Vol. 38 2008 IEEE系统、人与控制论论文集- A部分:系统与人第38卷

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2008-11-05 DOI: 10.1109/TSMCA.2008.2008691

J. M. Kay, J. Frolik

{"title":"2008 Index IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans Vol. 38","authors":"J. M. Kay, J. Frolik","doi":"10.1109/TSMCA.2008.2008691","DOIUrl":"https://doi.org/10.1109/TSMCA.2008.2008691","url":null,"abstract":"Wireless sensor networks are characterized by energy-constrained nodes that are tasked with collecting and forwarding environmental parameters with a requisite measurement, which is spatial and temporal fidelity. At the system level, fidelity is not the only issue of interest but also the achievement of a low-cost solution and a long life for the deployed network. As such, sensor nodes should be low in complexity and should achieve the requisite fidelity requirements, with minimum communication and coordination. This paper proposes that these nodes can operate as automata and still achieve the overall system performance requirements with minimal control. This paper presents and analyzes an automaton architecture and a control strategy designed to maintain spatial fidelity as the performance objective. In particular, we show the following: 1) that the architecture permits control of the number of nodes actively transmitting information in each epoch (denoted by Q); 2) that the variance of Q can be controlled and, particularly, can be set to a value significantly less than that of a Bernoulli-process benchmark (i.e., the architecture is expedient with respect to the control of this variance); 3) that the control strategy is scalable over several orders of magnitudes; and 4) that the methodology is efficient in approaching benchmark performance with respect to energy usage. The proposed methodology has the following specific advantages over the benchmark: 1) The total number of sensors deployed in the network need not be known, and 2) the strategy maintains a robust control of Q over changes in the commanded value and changes in the number of deployed sensors.","PeriodicalId":55006,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics","volume":"1 1","pages":"1453-1467"},"PeriodicalIF":0.0,"publicationDate":"2008-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73726465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Die DIN 33430: eine komplexe Norm für eine komplexe Welt [The DIN 33430: A complex norm for a complex world] 竟然有了这个规范!

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2008-10-13 DOI: 10.1026/1617-6391.7.4.183

U.-C. Klehe

引用次数: 5

Adaptive Particle Swarm Optimization 自适应粒子群优化

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2008-09-22 DOI: 10.1007/978-3-540-87527-7_21

Zhi-hui Zhan, Jun Zhang

引用次数: 1780

Foreword: ADP - The Key Direction for Future Research in Intelligent Control and Understanding Brain Intelligence 前言:ADP——未来智能控制和理解脑智能研究的关键方向

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2008-08-01 DOI: 10.1109/TSMCB.2008.924139

P. Werbos

引用次数: 84

Guest Editorial: Special Issue on Adaptive Dynamic Programming and Reinforcement Learning in Feedback Control 嘉宾评论:反馈控制中的自适应动态规划和强化学习专题

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2008-08-01 DOI: 10.1109/TSMCB.2008.925890

F. Lewis, D. Liu, G. Lendaris

引用次数: 50