Robust adaptive blind signal estimation algorithm for underdetermined mixture

2006 ◽  
Vol 153 (4) ◽  
pp. 320 ◽  
Author(s):  
L.C. Khor
Keyword(s):  
Estimation Algorithm ◽  
Signal Estimation ◽  
Blind Signal ◽  
Underdetermined Mixture ◽  
Robust Adaptive

Quantized multiple sinusoids signal estimation algorithm

2008 ◽  
Vol 3 (02) ◽  
pp. P02008-P02008 ◽  
Author(s):  
R M Udrea ◽  
N Vizireanu
Keyword(s):  
Estimation Algorithm ◽  
Signal Estimation

Image Processing Based on Improved Signal Estimation Algorithm

2013 ◽  
Vol 373-375 ◽  
pp. 694-697 ◽  
Author(s):  
Guang Xun Chen ◽  
Yan Hui Du ◽  
Lei Zhang ◽  
Pan Ke Qin
Keyword(s):  
Image Processing ◽  
High Resolution ◽  
Energy Function ◽  
Seismic Data ◽  
Estimation Algorithm ◽  
Numerical Realization ◽  
Velocity Analysis ◽  
Signal Estimation ◽  
Seismic Data Processing ◽  
Improved Method

The commonly used method for high resolution velocity analysis in seismic data processing and interpreting is based on signal estimation algorithm. However, the numerical realization of this method is complicated and time-consuming due to the process of signal-noise separation requiring enormous loop calculations before constructing the energy function. In this paper, we improved the method on the base of multi-trace signal estimation. This improved method made full use of amplitude information that can enhance the anti-noise ability and improve the resolution greatly. Meanwhile, this method has more economical calculation cost than other methods for it didnt require multiple loop calculations.

scholarly journals Robust adaptive fault estimation for multizone building VAV terminal units

2021 ◽  
Author(s):  
Mona Subramaniam ◽  
Tushar Jain ◽  
Joseph Yame
Keyword(s):  
Adaptive Estimation ◽  
Estimation Algorithm ◽  
Fault Estimation ◽  
Variable Air Volume ◽  
Energy Management Systems ◽  
Building Energy Management ◽  
Terminal Units ◽  
Robust Adaptive ◽  
Utility Cost ◽  
The Impact

In this paper, we propose a novel bilinear observer- based robust fault detection, isolation and adaptive fault estimation methodology to precisely estimate a class of actuator faults, namely bias in damper position and lock-in-place faults, in Variable-Air-Volume (VAV) terminal units of Heating Ventilation and Air-Conditioning (HVAC) systems. The proposed adaptive fault estimator is robust in the sense that the fault estimates are not affected by the unmeasured disturbance variable and that the effects of measurement noises on fault estimates are attenuated. The fault estimation algorithm with the integrated building control system improves occupants comfort and reduces the operation, maintenance, and utility cost, thereby reducing the impact on the environment. The effectiveness of the methodology for adaptive estimation of multiple or single VAV damper faults is successfully demonstrated through different simulation scenarios with SIMBAD (SIMulator of Building And Devices), which is being used in industries for testing and validation of building energy management systems.

scholarly journals Parameter Adaptive Sliding Mode Trajectory Tracking Strategy with Initial Value Identification for the Swing in a Hydraulic Construction Robot

2022 ◽  
Author(s):  
Jingwei hou ◽  
Dingxuan Zhao ◽  
Zhuxin Zhang
Keyword(s):  
Trajectory Tracking ◽  
Sliding Mode ◽  
Estimation Algorithm ◽  
Robust Adaptive Control ◽  
Identification Algorithm ◽  
Initial Value ◽  
Robust Adaptive ◽  
Adaptive Control Strategy ◽  
The Moment ◽  
Tracking Strategy

Abstract A novel trajectory tracking strategy is developed for a double actuated swing in a hydraulic construction robot. Specifically, a nonlinear hydraulic dynamics model of a double actuated swing is established, and a robust adaptive control strategy is designed to enhance the trajectory tracking performance. When an object is grabbed and unloaded, the inertia of a swing considerably changes, and the performance of the estimation algorithm is generally inadequate. Thus, it is necessary to establish an algorithm to identify the initial value of the moment of inertia of the object. To this end, this paper proposes a novel initial value identification algorithm based on a two-DOF robot gravity force identification method combined with computer vision information. The performance of the identification algorithm is enhanced. Simulations and experiments are performed to verify the effect of the novel control scheme.

scholarly journals Robust adaptive fault estimation for multizone building VAV terminal units

2021 ◽  
Author(s):  
Mona Subramaniam ◽  
Tushar Jain ◽  
Joseph Yame
Keyword(s):  
Adaptive Estimation ◽  
Estimation Algorithm ◽  
Fault Estimation ◽  
Variable Air Volume ◽  
Energy Management Systems ◽  
Building Energy Management ◽  
Terminal Units ◽  
Robust Adaptive ◽  
Utility Cost ◽  
The Impact

In this paper, we propose a novel bilinear observer- based robust fault detection, isolation and adaptive fault estimation methodology to precisely estimate a class of actuator faults, namely bias in damper position and lock-in-place faults, in Variable-Air-Volume (VAV) terminal units of Heating Ventilation and Air-Conditioning (HVAC) systems. The proposed adaptive fault estimator is robust in the sense that the fault estimates are not affected by the unmeasured disturbance variable and that the effects of measurement noises on fault estimates are attenuated. The fault estimation algorithm with the integrated building control system improves occupants comfort and reduces the operation, maintenance, and utility cost, thereby reducing the impact on the environment. The effectiveness of the methodology for adaptive estimation of multiple or single VAV damper faults is successfully demonstrated through different simulation scenarios with SIMBAD (SIMulator of Building And Devices), which is being used in industries for testing and validation of building energy management systems.

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