Presentation of a multi-tone model and its application to feedforward circuit analysis

2004-12-01
Coskun, Hakan
Mutlu, Ahmet
Demir, Şimşek
Analytical tools that characterize nonlinear systems are essential and need to be developed for initial rapid optimizations and understanding of the system performance. Modeling of the input signal is a crucial part of this task. In this work, we present a multi-tone representation for an arbitrary, stochastically not well-defined signal and its application to a feedforward circuit which involve two nonlinear amplifiers, couplers, phase and delay units. Particularly, amplitude and phase aspects of the model are highlighted and verified with RF simulations performed by real power amplifiers and components.

Suggestions

A multitone model of complex enveloped signals and its application in feedforward circuit analysis
Coskun, AH; Mutlu, Ayşe Ceyda; Demir, S (Institute of Electrical and Electronics Engineers (IEEE), 2005-06-01)
Analytical tools that characterize nonlinear systems are essential and need to be developed for initial rapid optimizations and understanding of the system performance. Modeling of the input signal is a crucial part of this task. In this paper, a multitone representation for an arbitrary double-side banded (symmetric spectrum around carrier frequency) stochastically not well-defined signal and its application to a feedforward circuit, which involve two nonlinear amplifiers, couplers, phase, and delay units ...
ON ROBUSTNESS OF CONCURRENT LEARNING ADAPTIVE CONTROL TO TIME-VARYING DISTURBANCES AND SYSTEM UNCERTAINTIES
Sarsilmaz, S. Burak; Kutay, Ali Türker; Yucelen, Tansel (2017-11-09)
In this paper, we study the robustness characteristics of a recently developed concurrent learning model reference adaptive control approach to time-varying disturbances and system uncertainties. Specifically, the commonly-used constant (or slowly time-varying) assumption on disturbances and system uncertainties for this particular adaptive control approach is replaced with its bounded counterpart with piecewise continuous and bounded derivatives. Based on the Lyapunov's direct method, we then show that the...
Stochastic modelling of biochemical networks and inference of modelparameters
Purutçuoğlu Gazi, Vilda (null, Springer, 2018-01-01)
There are many approaches to model the biochemical systems deterministically or stochastically. In deterministic approaches, we aim to describe the steady-state behaviours of the system, whereas, under stochastic models, we present the random nature of the system, for instance, during transcription or translation processes. Here, we represent the stochastic modelling approaches of biological networks and explain in details the inference of the model parameters within the Bayesian framework.
Evaluating Efficiency of Big-Bang Big-Crunch in Benchmark Engineering Optimization Problems
Hasançebi, Oğuzhan; Erol, Osman Kaan (2011-06-01)
Engineering optimization needs easy-to-use and efficient optimization tools that can be employed for practical purposes. In this context, stochastic search techniques have good reputation and wide acceptability as being powerful tools for solving complex engineering optimization problems. However, increased complexity of some metaheuristic algorithms sometimes makes it difficult for engineers to utilize such techniques in their applications. Big-Bang Big-Crunch (BB-BC) algorithm is a simple metaheuristic op...
A review on modeling and simulation of quenching
Şimşir, Caner; Gür, Cemil Hakan (2010-01-01)
Modeling and simulation of quenching are powerful tools in the design, optimization, and understanding of the quenching process since they provide quantitative results such as the evolution of microstructure and the internal stresses, which are practically impossible to acquire experimentally. The research on simulation of quenching and related phenomena originates from the early 70s and is still an active field owing to its industrial and scientific output. This paper aims to provide a comprehensive review...
Citation Formats
H. Coskun, A. Mutlu, and Ş. Demir, “Presentation of a multi-tone model and its application to feedforward circuit analysis,” London, İngiltere, 2004, vol. 1, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=18744400595&origin=inward.