Nonlinearity Measures for Distributed Parameter and Descriptor Systems

a Simplified Model of Distributed Parameter Systems

A generalized simplified model for describing the dynamic behavior of distributed parameter systems is proposed. The various specific characteristics of gain and phase angle of distributed parameter systems are investigated from frequency response formulation and complex plane representation of the proposed simplified model. The complex plane investigation renders some important inequality cons...

Parameter Estimation in Linear Descriptor Systems

Linear descriptor systems form the natural way in which linear models of physical systems are delivered from an object-oriented modeling tool like Modelica. Linear descriptor systems are also known as linear differentialalgebraic equations in the continuous-time case. If some parameters in such models are unknown, one might need to estimate them from measured data from the modeled system. This ...

Finite Dimensional Adaptive H∞ Control for Distributed Parameter Systems of Hyperbolic Type Preceded by Input Nonlinearity

Finite dimensional adaptive H∞ control for distributed parameter systems of hyperbolic type preceded by input nonlinearities such as dead-zone or backlash, is considered in this paper. Distributed parameter systems are infinite dimensional processes, but the proposed control scheme is constructed from finite dimensional controllers. An adaptive inverse model is introduced to estimate and compen...

PAPR and Other Measures for OFDM Systems with Nonlinearity

In this paper, we discuss the effects of nonlinearity on the performance in transmission of OFDM signals. Furthermore, we study measures related to nonlinearities, such as PAPR (Peak-to-Average-Power-Ratio), with respect to their ability to correctly predict the effect of a nonlinearity in an OFDM system. We also propose new measures for signal distortion in nonlinear systems. The performance o...

Modelling and Control for Distributed Parameter Systems