نتایج جستجو برای: residual test recursive least square rt rls
تعداد نتایج: 1394533 فیلتر نتایج به سال:
The exponentially weighted recursive least-squares (RLS) has a long history as an algorithm to track timevarying parameters in signal processing and time series analysis. By reviewing the optimality conditions of RLS under a regression framework, possible sources of suboptimality of RLS for tracking time-varying parameters, especially when the parameters satisfy a state-space model, are identif...
Continuous Stirred Tank Reactor (CSTR) plays an important role in the process industries. It helps for maintaining the temperature of the liquid in the reactors. This paper deals with the comparison of adaptive control and conventional PID control in CSTR process. In the adaptive control, Model Reference Adaptive Control (MRAC) and Self-Tuning Regulator (STR) methods are used. The Recursive Lea...
This paper describes the design of a new self-tuning controller to control tip trajectory and tip deflection of a two-link flexible manipulator handling variable payloads based on nonlinear autoregressive with moving average and exogenous input (NARMAX) model. This proposed adaptive controller consists of a multivariate proportional integral and derivative (PID) feedback loop. The gains of the ...
The recursive least squares (RLS) algorithm is one of the most popular adaptive algorithms that can be found in the literature, due to the fact that it is easily and exactly derived from the normal equations. In this paper, we give another interpretation of the RLS algorithm and show the importance of linear interpolation error energies in the RLS structure. We also give a very efficient way to...
With the advancement in wireless communication, the desire to achieve data transmission at high speed is also increasing. But accomplishing high data rate transmission over broadband wireless channel seems a challenging task. Multiple-input-multiple-output (MIMO) communication when combined with OFDM System allows reliable transmission of data. The pilot based channel estimation is one of the m...
The multi-input multi-output (MIMO) communication framework is adopted for wireless sensor networks by having multiple sensors equipped with single-element antennas cooperate in transmission. A power method-based iterative algorithm is developed that computes the optimal transmit and receive eigen-filters distributively among the sensors while transferring most of the computational burden to th...
When acquiring the Electrocardiogram (ECG) signal from the person, it should be preprocess before sending to the analyst for taking decision of the signal, because signal should be affected with various artifacts. For numerous applications of noise cancellation in the corrupted signals, adaptive filters play important role. The various artifacts which commonly occur in the acquisition of ECG si...
Active power filter (APF) has now become a mature technology for harmonic and reactive power compensations in two-wire (single phase), three-wire (three phase without neutral), and four-wire (three phase with neutral) ac power networks with nonlinear loads. This paper presents a study on three different adaptive algorithms for active power filtering applications. These algorithms are adaptive l...
The adaptive algorithm has been widely used in the digital signal processing like channel estimation, channel equalization, echo cancellation, and so on. One of the most important adaptive algorithms is the RLS algorithm. We present in this paper n multiple objective optimization approach to fast blind channel equalization. By investigating first the performance (mean-square error) of the stand...
Spatial recursive least squares (RLS) adaptive filters with exponential forgetting of past data perform not much better than a simple LMS adaptive filter in most applications. A significant improvement can be achieved when a multiple delay is added in the filter path. Delayed filtering with respect to parameter adaptation has the effect of incorporation of a number of “future” samples in the pa...
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