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Showing 1 to 12 of 1098 entries
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A volume-based heat-diffusion classifier.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

Yang H, Lyu MR, King I.
PMID: 19095552
IEEE Trans Syst Man Cybern B Cybern. 2009 Apr;39(2):417-30. doi: 10.1109/TSMCB.2008.2006279. Epub 2008 Dec 16.

Heat-diffusion models have been successfully applied to various domains such as classification and dimensionality-reduction tasks in manifold learning. One critical local approximation technique is employed to weigh the edges in the graph constructed from data points. This approximation technique...

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Yang H, Lyu MR, King I. A volume-based heat-diffusion classifier. IEEE Trans Syst Man Cybern B Cybern. 2008;39(2):417-30doi: 10.1109/TSMCB.2008.2006279.
Yang, H., Lyu, M. R., & King, I. (2009). A volume-based heat-diffusion classifier. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 39(2), 417-30. https://doi.org/10.1109/TSMCB.2008.2006279
Yang, Haixuan, et al. "A volume-based heat-diffusion classifier." IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society vol. 39,2 (2009): 417-30. doi: https://doi.org/10.1109/TSMCB.2008.2006279
Yang H, Lyu MR, King I. A volume-based heat-diffusion classifier. IEEE Trans Syst Man Cybern B Cybern. 2009 Apr;39(2):417-30. doi: 10.1109/TSMCB.2008.2006279. Epub 2008 Dec 16. PMID: 19095552.
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Comprehensive unified control strategy for underactuated two-link manipulators.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

Lai XZ, She JH, Yang SX, Wu M.
PMID: 19095554
IEEE Trans Syst Man Cybern B Cybern. 2009 Apr;39(2):389-98. doi: 10.1109/TSMCB.2008.2005910. Epub 2008 Dec 16.

This paper presents a unified treatment of the motion control of underactuated two-link manipulators, including acrobots and pendubots. The motion space is divided into two areas: swing-up and attractive; and control laws are designed for each. First, a control...

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Lai XZ, She JH, Yang SX, et al. Comprehensive unified control strategy for underactuated two-link manipulators. IEEE Trans Syst Man Cybern B Cybern. 2008;39(2):389-98doi: 10.1109/TSMCB.2008.2005910.
Lai, X. Z., She, J. H., Yang, S. X., & Wu, M. (2009). Comprehensive unified control strategy for underactuated two-link manipulators. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 39(2), 389-98. https://doi.org/10.1109/TSMCB.2008.2005910
Lai, Xu-Zhi, et al. "Comprehensive unified control strategy for underactuated two-link manipulators." IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society vol. 39,2 (2009): 389-98. doi: https://doi.org/10.1109/TSMCB.2008.2005910
Lai XZ, She JH, Yang SX, Wu M. Comprehensive unified control strategy for underactuated two-link manipulators. IEEE Trans Syst Man Cybern B Cybern. 2009 Apr;39(2):389-98. doi: 10.1109/TSMCB.2008.2005910. Epub 2008 Dec 16. PMID: 19095554.
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Transmission rate allocation in multisensor target tracking over a shared network.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

Ranasingha MC, Murthi MN, Premaratne K, Fan X.
PMID: 19095557
IEEE Trans Syst Man Cybern B Cybern. 2009 Apr;39(2):348-62. doi: 10.1109/TSMCB.2008.2005123. Epub 2008 Dec 16.

In a multisensor target tracking application running on a shared network, at what bit rates should the sensors send their measurements to the tracking fusion center? Clearly, the sensors cannot use arbitrary rates in a shared network, and a...

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Ranasingha MC, Murthi MN, Premaratne K, et al. Transmission rate allocation in multisensor target tracking over a shared network. IEEE Trans Syst Man Cybern B Cybern. 2008;39(2):348-62doi: 10.1109/TSMCB.2008.2005123.
Ranasingha, M. C., Murthi, M. N., Premaratne, K., & Fan, X. (2009). Transmission rate allocation in multisensor target tracking over a shared network. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 39(2), 348-62. https://doi.org/10.1109/TSMCB.2008.2005123
Ranasingha, M Chamara, et al. "Transmission rate allocation in multisensor target tracking over a shared network." IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society vol. 39,2 (2009): 348-62. doi: https://doi.org/10.1109/TSMCB.2008.2005123
Ranasingha MC, Murthi MN, Premaratne K, Fan X. Transmission rate allocation in multisensor target tracking over a shared network. IEEE Trans Syst Man Cybern B Cybern. 2009 Apr;39(2):348-62. doi: 10.1109/TSMCB.2008.2005123. Epub 2008 Dec 16. PMID: 19095557.
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Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

Krohling RA, Coelho Ldos S.
PMID: 17186816
IEEE Trans Syst Man Cybern B Cybern. 2006 Dec;36(6):1407-16. doi: 10.1109/tsmcb.2006.873185.

In this correspondence, an approach based on coevolutionary particle swarm optimization to solve constrained optimization problems formulated as min-max problems is presented. In standard or canonical particle swarm optimization (PSO), a uniform probability distribution is used to generate random...

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Krohling RA, Coelho Ldos S. Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems. IEEE Trans Syst Man Cybern B Cybern. 2006;36(6):1407-16doi: 10.1109/tsmcb.2006.873185.
Krohling, R. A., & Coelho, L. d. o. s. . S. (2006). Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 36(6), 1407-16. https://doi.org/10.1109/tsmcb.2006.873185
Krohling, Renato A, and Coelho, Leandro dos Santos. "Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems." IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society vol. 36,6 (2006): 1407-16. doi: https://doi.org/10.1109/tsmcb.2006.873185
Krohling RA, Coelho Ldos S. Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems. IEEE Trans Syst Man Cybern B Cybern. 2006 Dec;36(6):1407-16. doi: 10.1109/tsmcb.2006.873185. PMID: 17186816.
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Variable-gain controllers for nonlinear systems using the T-S fuzzy model.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

Kumar PP, Kar I, Behera L.
PMID: 17186820
IEEE Trans Syst Man Cybern B Cybern. 2006 Dec;36(6):1442-9. doi: 10.1109/tsmcb.2006.877799.

This correspondence proposes two novel control schemes with variable state-feedback gain to stabilize a Takagi-Sugeno (T-S) fuzzy system. The T-S fuzzy model is expressed as a linear plant with nonlinear disturbance terms in both schemes. In controller I, the...

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Kumar PP, Kar I, Behera L. Variable-gain controllers for nonlinear systems using the T-S fuzzy model. IEEE Trans Syst Man Cybern B Cybern. 2006;36(6):1442-9doi: 10.1109/tsmcb.2006.877799.
Kumar, P. P., Kar, I., & Behera, L. (2006). Variable-gain controllers for nonlinear systems using the T-S fuzzy model. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 36(6), 1442-9. https://doi.org/10.1109/tsmcb.2006.877799
Kumar, P Prem, et al. "Variable-gain controllers for nonlinear systems using the T-S fuzzy model." IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society vol. 36,6 (2006): 1442-9. doi: https://doi.org/10.1109/tsmcb.2006.877799
Kumar PP, Kar I, Behera L. Variable-gain controllers for nonlinear systems using the T-S fuzzy model. IEEE Trans Syst Man Cybern B Cybern. 2006 Dec;36(6):1442-9. doi: 10.1109/tsmcb.2006.877799. PMID: 17186820.
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Fuzzy dynamic output feedback control with adaptive rotor imbalance compensation for magnetic bearing systems.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

Huang SJ, Lin LC.
PMID: 15462450
IEEE Trans Syst Man Cybern B Cybern. 2004 Aug;34(4):1854-64. doi: 10.1109/tsmcb.2004.829776.

This paper presents a dynamic output feedback control with adaptive rotor-imbalance compensation based on an analytical Takagi-Sugeno fuzzy model for complex nonlinear magnetic bearing systems with rotor eccentricity. The rotor mass-imbalance effect is considered with a linear in the...

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Huang SJ, Lin LC. Fuzzy dynamic output feedback control with adaptive rotor imbalance compensation for magnetic bearing systems. IEEE Trans Syst Man Cybern B Cybern. 2004;34(4):1854-64doi: 10.1109/tsmcb.2004.829776.
Huang, S. J., & Lin, L. C. (2004). Fuzzy dynamic output feedback control with adaptive rotor imbalance compensation for magnetic bearing systems. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 34(4), 1854-64. https://doi.org/10.1109/tsmcb.2004.829776
Huang, Shi-Jing, and Lin, Lih-Chang. "Fuzzy dynamic output feedback control with adaptive rotor imbalance compensation for magnetic bearing systems." IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society vol. 34,4 (2004): 1854-64. doi: https://doi.org/10.1109/tsmcb.2004.829776
Huang SJ, Lin LC. Fuzzy dynamic output feedback control with adaptive rotor imbalance compensation for magnetic bearing systems. IEEE Trans Syst Man Cybern B Cybern. 2004 Aug;34(4):1854-64. doi: 10.1109/tsmcb.2004.829776. PMID: 15462450.
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A method for integrating expert knowledge when learning Bayesian networks from data.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

Cano A, Masegosa AR, Moral S.
PMID: 21659034
IEEE Trans Syst Man Cybern B Cybern. 2011 Oct;41(5):1382-94. doi: 10.1109/TSMCB.2011.2148197. Epub 2011 Jun 09.

Automatic learning of Bayesian networks from data is a challenging task, particularly when the data are scarce and the problem domain contains a high number of random variables. The introduction of expert knowledge is recognized as an excellent solution...

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Cano A, Masegosa AR, Moral S. A method for integrating expert knowledge when learning Bayesian networks from data. IEEE Trans Syst Man Cybern B Cybern. 2011;41(5):1382-94doi: 10.1109/TSMCB.2011.2148197.
Cano, A., Masegosa, A. R., & Moral, S. (2011). A method for integrating expert knowledge when learning Bayesian networks from data. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 41(5), 1382-94. https://doi.org/10.1109/TSMCB.2011.2148197
Cano, Andrés, et al. "A method for integrating expert knowledge when learning Bayesian networks from data." IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society vol. 41,5 (2011): 1382-94. doi: https://doi.org/10.1109/TSMCB.2011.2148197
Cano A, Masegosa AR, Moral S. A method for integrating expert knowledge when learning Bayesian networks from data. IEEE Trans Syst Man Cybern B Cybern. 2011 Oct;41(5):1382-94. doi: 10.1109/TSMCB.2011.2148197. Epub 2011 Jun 09. PMID: 21659034.
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Fast and efficient strategies for model selection of Gaussian support vector machine.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

Xu Z, Dai M, Meng D.
PMID: 19342351
IEEE Trans Syst Man Cybern B Cybern. 2009 Oct;39(5):1292-307. doi: 10.1109/TSMCB.2009.2015672. Epub 2009 Mar 31.

Two strategies for selecting the kernel parameter (sigma) and the penalty coefficient (C) of Gaussian support vector machines (SVMs) are suggested in this paper. Based on viewing the model parameter selection problem as a recognition problem in visual systems,...

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Xu Z, Dai M, Meng D. Fast and efficient strategies for model selection of Gaussian support vector machine. IEEE Trans Syst Man Cybern B Cybern. 2009;39(5):1292-307doi: 10.1109/TSMCB.2009.2015672.
Xu, Z., Dai, M., & Meng, D. (2009). Fast and efficient strategies for model selection of Gaussian support vector machine. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 39(5), 1292-307. https://doi.org/10.1109/TSMCB.2009.2015672
Xu, Zongben, et al. "Fast and efficient strategies for model selection of Gaussian support vector machine." IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society vol. 39,5 (2009): 1292-307. doi: https://doi.org/10.1109/TSMCB.2009.2015672
Xu Z, Dai M, Meng D. Fast and efficient strategies for model selection of Gaussian support vector machine. IEEE Trans Syst Man Cybern B Cybern. 2009 Oct;39(5):1292-307. doi: 10.1109/TSMCB.2009.2015672. Epub 2009 Mar 31. PMID: 19342351.
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Efficient edge detection using simplified gabor wavelets.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

Jiang W, Lam KM, Shen TZ.
PMID: 19336327
IEEE Trans Syst Man Cybern B Cybern. 2009 Aug;39(4):1036-47. doi: 10.1109/TSMCB.2008.2011646. Epub 2009 Mar 24.

Gabor wavelets (GWs) have been commonly used for extracting local features for various applications, such as recognition, tracking, and edge detection. However, extracting the Gabor features is computationally intensive, so the features may be impractical for real-time applications. In...

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Jiang W, Lam KM, Shen TZ. Efficient edge detection using simplified gabor wavelets. IEEE Trans Syst Man Cybern B Cybern. 2009;39(4):1036-47doi: 10.1109/TSMCB.2008.2011646.
Jiang, W., Lam, K. M., & Shen, T. Z. (2009). Efficient edge detection using simplified gabor wavelets. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 39(4), 1036-47. https://doi.org/10.1109/TSMCB.2008.2011646
Jiang, Wei, et al. "Efficient edge detection using simplified gabor wavelets." IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society vol. 39,4 (2009): 1036-47. doi: https://doi.org/10.1109/TSMCB.2008.2011646
Jiang W, Lam KM, Shen TZ. Efficient edge detection using simplified gabor wavelets. IEEE Trans Syst Man Cybern B Cybern. 2009 Aug;39(4):1036-47. doi: 10.1109/TSMCB.2008.2011646. Epub 2009 Mar 24. PMID: 19336327.
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A Learning Algorithm for Multimodal Grammar Inference.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

D'Ulizia A, Ferri F, Grifoni P.
PMID: 21724519
IEEE Trans Syst Man Cybern B Cybern. 2011 Dec;41(6):1495-510. doi: 10.1109/TSMCB.2011.2155057. Epub 2011 Jun 30.

The high costs of development and maintenance of multimodal grammars in integrating and understanding input in multimodal interfaces lead to the investigation of novel algorithmic solutions in automating grammar generation and in updating processes. Many algorithms for context-free grammar...

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D'Ulizia A, Ferri F, Grifoni P. A Learning Algorithm for Multimodal Grammar Inference. IEEE Trans Syst Man Cybern B Cybern. 2011;41(6):1495-510doi: 10.1109/TSMCB.2011.2155057.
D'Ulizia, A., Ferri, F., & Grifoni, P. (2011). A Learning Algorithm for Multimodal Grammar Inference. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 41(6), 1495-510. https://doi.org/10.1109/TSMCB.2011.2155057
D'Ulizia, A, et al. "A Learning Algorithm for Multimodal Grammar Inference." IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society vol. 41,6 (2011): 1495-510. doi: https://doi.org/10.1109/TSMCB.2011.2155057
D'Ulizia A, Ferri F, Grifoni P. A Learning Algorithm for Multimodal Grammar Inference. IEEE Trans Syst Man Cybern B Cybern. 2011 Dec;41(6):1495-510. doi: 10.1109/TSMCB.2011.2155057. Epub 2011 Jun 30. PMID: 21724519.
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Set-membership fuzzy filtering for nonlinear discrete-time systems.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

Yang F, Li Y.
PMID: 19628459
IEEE Trans Syst Man Cybern B Cybern. 2010 Feb;40(1):116-24. doi: 10.1109/TSMCB.2009.2020436. Epub 2009 Jul 21.

This paper is concerned with the set-membership filtering (SMF) problem for discrete-time nonlinear systems. We employ the Takagi-Sugeno (T-S) fuzzy model to approximate the nonlinear systems over the true value of state and to overcome the difficulty with the...

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Yang F, Li Y. Set-membership fuzzy filtering for nonlinear discrete-time systems. IEEE Trans Syst Man Cybern B Cybern. 2009;40(1):116-24doi: 10.1109/TSMCB.2009.2020436.
Yang, F., & Li, Y. (2010). Set-membership fuzzy filtering for nonlinear discrete-time systems. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 40(1), 116-24. https://doi.org/10.1109/TSMCB.2009.2020436
Yang, Fuwen, and Li, Yongmin. "Set-membership fuzzy filtering for nonlinear discrete-time systems." IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society vol. 40,1 (2010): 116-24. doi: https://doi.org/10.1109/TSMCB.2009.2020436
Yang F, Li Y. Set-membership fuzzy filtering for nonlinear discrete-time systems. IEEE Trans Syst Man Cybern B Cybern. 2010 Feb;40(1):116-24. doi: 10.1109/TSMCB.2009.2020436. Epub 2009 Jul 21. PMID: 19628459.
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A neural-fuzzy system for congestion control in ATM networks.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

Lee SJ, Hou CL.
PMID: 18244724
IEEE Trans Syst Man Cybern B Cybern. 2000;30(1):2-9. doi: 10.1109/3477.826942.

We propose the use of a neural-fuzzy scheme for rate-based feedback congestion control in asynchronous transfer mode (ATM) networks. Available bit rate (ABR) traffic is not guaranteed quality of service (QoS) in the setup connection, and it can dynamically...

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Lee SJ, Hou CL. A neural-fuzzy system for congestion control in ATM networks. IEEE Trans Syst Man Cybern B Cybern. 2000;30(1):2-9doi: 10.1109/3477.826942.
Lee, S. J., & Hou, C. L. (2000). A neural-fuzzy system for congestion control in ATM networks. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 30(1), 2-9. https://doi.org/10.1109/3477.826942
Lee, S J, and Hou, C L. "A neural-fuzzy system for congestion control in ATM networks." IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society vol. 30,1 (2000): 2-9. doi: https://doi.org/10.1109/3477.826942
Lee SJ, Hou CL. A neural-fuzzy system for congestion control in ATM networks. IEEE Trans Syst Man Cybern B Cybern. 2000;30(1):2-9. doi: 10.1109/3477.826942. PMID: 18244724.
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Showing 1 to 12 of 1098 entries