LSSVM-weights-3.20.zip - an on-line predictive control based on least
squares support vector machine (LS-SVM) is proposed. In order
to carry out on-line learning, the training data threshold is set
through discussing the theory of LS-SVM and the character of
control system,2015-12-30 18:03:51,下载5次
PEMFC-based-on-lssvm.rar - an on-line predictive control based on least
squares support vector machine (LS-SVM) is proposed. In order
to carry out on-line learning, the training data threshold is set
through discussing the theory of LS-SVM and the character of
control system,2015-12-30 17:52:34,下载3次
MPC-for-MIMO-System.rar - Aimed at nonlinear MIMO system, a model
predictive control (MPC) strategy based on least squares
support vector machine (LSSVM) and mutative scale chaos
optimization is proposed,2015-12-30 17:50:51,下载8次
power_svc_p.rar - The power system is a complex and nonlinear system.
Mechanical nature of the power systems produces low-frequency
oscillations (LFO) in the system, which will negatively affect the
stability and performance of the system and will restrict the capacity of the transmission line,2015-11-01 14:36:17,下载8次
braking-resistor-for-dynamic-power-systems.rar - In this paper an analysis of the stability enhancement and improved damping of power swings in a multi-machine power system by means of thyristor-controlled braking resistor installed in the network has been presented. The control law has been derived using direct Lyapunov method and non-linear multi-machine system model. It is optimal in the sense that it causes the quickest dissipation of the power system energy released by a disturbance. Simple implementation of this control using only locally available signal has been also demonstrated. A computer simulation of a multi-machine power system model has verified the effectiveness of the proposed algorithm,2014-05-16 17:37:55,下载42次
sag_emd.rar - For basic reading and review of HHT algorithm for sag signals, readers are referred to the references [1-4, 6].
For HHT algorithm analysis programs, two resources may be found useful: (1) the Matlab programs which perform most of the HHT algorithm functions available from [7], authored by Zhaohua Wu (2) the R package ‘EMD’ authored by Donghoh Kim and Hee-Seok Oh (published on 29/10/2012). We decide not to use ‘EMD’ package directly for our analysis, because (1) no significance test functionality available (2) no post processing functionality available (3) different stoppage rule in implementation of the EMD process (4) user manual is not very helpful.
,2014-05-13 16:36:34,下载2次
interruption_emd.rar - For basic reading and review of HHT algorithm for interruption signal, readers are referred to the references [1-4, 6].
For HHT algorithm analysis programs, two resources may be found useful: (1) the Matlab programs which perform most of the HHT algorithm functions available from [7], authored by Zhaohua Wu (2) the R package ‘EMD’ authored by Donghoh Kim and Hee-Seok Oh (published on 29/10/2012). We decide not to use ‘EMD’ package directly for our analysis, because (1) no significance test functionality available (2) no post processing functionality available (3) different stoppage rule in implementation of the EMD process (4) user manual is not very helpful.
,2014-05-13 16:35:46,下载2次
flicker_emd.rar - For basic reading and review of HHT algorithm for flickher signal, readers are referred to the references [1-4, 6].
For HHT algorithm analysis programs, two resources may be found useful: (1) the Matlab programs which perform most of the HHT algorithm functions available from [7], authored by Zhaohua Wu (2) the R package ‘EMD’ authored by Donghoh Kim and Hee-Seok Oh (published on 29/10/2012). We decide not to use ‘EMD’ package directly for our analysis, because (1) no significance test functionality available (2) no post processing functionality available (3) different stoppage rule in implementation of the EMD process (4) user manual is not very helpful.
,2014-05-13 16:33:51,下载6次
transient_emd.rar - For basic reading and review of HHT algorithm, readers are referred to the references [1-4, 6].
For HHT algorithm analysis programs, two resources may be found useful: (1) the Matlab programs which perform most of the HHT algorithm functions available from [7], authored by Zhaohua Wu (2) the R package ‘EMD’ authored by Donghoh Kim and Hee-Seok Oh (published on 29/10/2012). We decide not to use ‘EMD’ package directly for our analysis, because (1) no significance test functionality available (2) no post processing functionality available (3) different stoppage rule in implementation of the EMD process (4) user manual is not very helpful.
,2014-05-13 16:31:28,下载3次
STFT.zip - fft signal prosecing,2014-05-13 16:19:15,下载5次
hht_2.0.1.zip - java script for calculating hht algoritms,2014-05-13 16:13:37,下载4次