Recursive least squares filter

About: Recursive least squares filter is a research topic. Over the lifetime, 8907 publications have been published within this topic receiving 191933 citations.

Method and apparatus of a self-configured, model-based adaptive, predictive controller for multi-zone regulation systems

Abstract: A control system simultaneously controls a multi zone process with a self-adaptive model predictive controller (MPC), such as temperature control within a plastic injection molding system. The controller is initialized with basic system information. A per-identification procedure determines a suggested system sampling rate, delays or "dead times" for each zone and initial system model matrix coefficients necessary for operation of the control predictions. The recursive least squares based system model update, control variable predictions and calculations of the control horizon values are preferably executed in real time by using matrix calculation basic functions implemented and optimized for being used in a S7 environment by a Siemens PLC. The number of predictions and the horizon of the control steps required to achieve the setpoint are significantly high to achieve smooth and robust control. Several matrix calculations, including an inverse matrix procedure performed at each sample pulse and for each individual zone determine the MPC gain matrices needed to bring the system with minimum control effort and variations to the final setpoint. Corrective signals, based on the predictive model and the minimization criteria explained above, are issued to adjust system heating/cooling outputs at the next sample time occurence, so as to bring the system to the desired set point. The process is repeated continuously at each sample pulse.

A new wristband wearable sensor using adaptive reduction filter to reduce motion artifact

Abstract: Reduction the motion artifact from photo plethysmograph (PPG) signals can improve the precision of the measurement of heart rate or arterial oxygen saturation in movement state. This paper presents a new wristband PPG/ACC sensor device, which utilizes the adaptive filter technique to reduce the motion artifact of the original PPG signals. A 3-axis MEMS accelerometer sensor is attached to the PPG sensor to detect the wrist movement. A fast transversal RLS algorithm is performed to reduce the computed complexity of the adaptive filter. Experiment results show that this device can provide more reliable and stable signals against motion artifact corruption under the typical types of movement, such as swinging arms.

Literature review and fundamental approaches for vehicle and tire state estimation

Abstract: Most modern day automotive chassis control systems employ a feedback control structure. Therefore, real-time estimates of the vehicle dynamic states and tire-road contact parameters are invaluable ...