Good estimates of vehicle mass and road grade are important in automation of heavy duty vehicles, vehicle following manoeuvres or traditional powertrain control schemes. Recursive least square (RLS) with multiple forgetting factors accounts for different rates of change for different parameters and thus, enables simultaneous estimation of the time-varying grade and the piece-wise constant mass....

This paper shows that it is possible for an adaptive transversal prediction filter to outperform the fixed Wiener predictor of the same length for narrowband input signal embedded in Added White Gaussian Noise (AWGN). The error transfer function approach, which takes into account of the correlation of predictor error feedback and input signal, is derived for stationary and chirped input signals...

Multicarrier code-division multiple access (MC-CDMA) combines multicarrier transmission with direct sequence spread spectrum. Recently, different approaches have been adopted which do not assume a perfectly known channel. In this paper, we examine the forward-link performance of decision-directed adaptive detection schemes, with and without explicit channel estimation, for MC-CDMA systems opera...

This paper presents an adaptive code-aided technique for the suppression of narrowband interference (NBI) in direct-sequence code-division multiple access (DS-CDMA) systems. This technique uses a multiuser detector based on the Interacting Multiple Model (IMM) algorithm. This detector is based on the concept that the effective model of the received signal at a time instance can be approximated ...

In recent years, recursive least-squares (RLS) algorithms and fast-transversal-.lters (FTF) algorithms have been introduced for multichannel active sound cancellation (ASC) systems and multichannel sound deconvolution (MSD) systems. It was reported that these algorithms can greatly improve the convergence speed of the ASC=MSD systems using adaptive FIR .lters. However, numerical instability of ...

Stop-and-go decision-directed (S-and-G-DD) equalization is the most primitive blind equalization (BE) method for the cancelling of intersymbol-interference in data communication systems. Recently, this scheme has been applied to complex-valued multilayer feedforward neural network, giving robust results with a lower mean-square error at the expense of slow convergence. To overcome this problem,...

This chapter introduces the general concepts of adaptive filtering and its families of algorithms, and settles the basic notation used in the remaining of the book. Section 2.1 presents the fundamentals concepts, highlighting several configurations, such as system identification, interference cancelation, channel equalization, and signal prediction, in which adaptive filters have been successfu...

Abstract In this paper, an adaptive nonlinear controller is designed for rotor Surface Permanent Magnet Synchronous Motor (SPMSM) drive on the basis of Input-Output Feedback Control (IOFC), and Recursive Least Square (RLS) method. The RLS estimator detects the motor electromechanical parameters, including the motor iron loss resistance online. Moreover, a Sliding-Mode (SM) observer is developed...

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...