11 skills found
DanielMartensson / CControlUsing advanced control and computer vision techniques in an easy way for embedded
DanielMartensson / MataveIDSystem identification toolbox for GNU Octave and MATLAB
thanhndv212 / Figaroh PlusA framework for robot parametric model identification and calibration
tommygorham / Unv SmiA simplified mechanism for revealing GPU & system architecture information on any computer running any OS
gzykarajan / SystemIdentificationSystem Identification Test Python Codes
ali-ece / Design And Modeling Of Adaptive IIR Filtering Systems Using A Weighted Sum Variable Length PSODesign and modeling of adaptive IIR filtering systems using a weighted sum - variable length particle swarm optimization
mohit-nith / GeneralizedWOLA SystemIdentificationSubband system identification using generalized Weighted Overlap-Add (WOLA) filter bank for improved acoustic echo cancellation.
ali-ece / A Modified Inclined Planes System Optimization MIPO AlgorithmWith the aim of create a powerful trade-off between the concepts of exploitation and exploration, and rectify the complexity of their structural parameters in the standard IPO, a modified version of IPO (called MIPO) is introduced as an efficient optimization algorithm for digital infinite-impulse-response (IIR) filters model identification. The MIPO utilizes an appropriate mechanism based on the executive steps of algorithm with the constant damp factors.
SLICOT / SLICOT SystemIdentificationSLICOT System Identification Toolbox
Xenerberg / SystemIdentificationIdentification of Inertia/Geometry parameters of tumbling satellite
ali-ece / Inclined Planes System Optimization Theory Literature Review And State Of The Art Versions For IIThe Inclined Planes System Optimization (IPO) algorithm is recent algorithm that uses Newton’s second law to perform optimization. After conducting a thorough literature review, this paper proposes an improved version of IPO called IIPO. This improvement is achieved by changing exploratory and exploitative behavior of the standard IPO proportional to the progress of optimization (iteration). The IIPO is employed for optimizing IIR digital filter design, which is a challenging engineering problem. Adaptive IIR modeling as a multimodal optimization problem is designed and developed under system identification structure with an appropriate single-objective function in the frequency domain. Implementations are performed in both modeling cases with same and reduced orders, and under two identification forms with and without environmental additive noise. The results are reported along with various analyzes compared to a wide range of IPO variants. The statistical results on 100 independent trials show a success of more than 90% of cases, the proposed IIPO algorithm substantially outperforms other comparative algorithms in terms of accuracy of estimated coefficients, convergence, fitness, output responses, noise analysis, stability, and reliability.https://doi.org/10.1016/j.eswa.2022.117127
