Control performance assessment, or CPA, is an increasingly vital tool to quantify the performance of industrial control loops. While most of the research and commercial activity in CPA has been applied to linear systems to date, those researchers investigating nonlinear systems fall into one of two groups. The first group focussed on the diagnosis of a common specific nonlinearity, namely valve...

One drawback of OFDM systems is the high peak-to-average power ratio, which imposes strong requirements on the linearity of power amplifiers (PAs). Such linearity requirements translate into high back-off that results in low power efficiency. In order to improve power efficiency, a PA nonlinearity cancellation (PANC) technique is introduced which reduces the nonlinear distortion effects on the ...

A new solution to nonlinear systems identification of MISO Hammerstein and/or Wiener models is developed using tools from Evolutionary Computation based optimization. A hybrid genetic and swarming intelligence based Hierarchical Cultural Algorithm is used to adapt the structure of the bad less suited model and to estimate the parameters of its dynamics and nonlinearities representation. Perform...

This paper considers an observer-based extremum-seeking (ES) schemeacting on aWiener–Hammerstein (WH) plant. The ES scheme utilises a high-frequency sinusoidal dither in order to achieve fast minimisation of the plant’s static nonlinearity. Unlike the prevailing analyses of ‘‘fast’’ ES schemes acting on WH plants, the presented result is semi-global and applicable to plants with fairly general,...

The main challenge in a full-duplex transceiver design is created by the self-interference caused coupling of transmitted signal to transceiver’s own receiver. effect non-linear operation both power amplifier at transmitter and low noise receiver are considered cancelation. performance three cancelers studied: linear cancelation, auto-regressive moving-average (ARMA) based cancelation neural ne...

Abstract Nonlinear dynamic systems are often approximated by a Volterra series, which is generalization of the Taylor series for with memory. However, lacks physical interpretation. To take advantage representation while aiming an interpretable block-oriented model, we establish link between and parallel Wiener-Hammerstein based on decoupling multivariate polynomials. The true through constrain...