A cellular neural/nonlinear network (CNN)[Chua, 1998] is a biologically inspired system
where computation emerges from a collection of simple nonlinear locally coupled cells. This …

Piecewise linear systems are important in representing and approximating many practical
systems with complex dynamics. While stability analysis of switched linear systems are …

Tropical geometry is a relatively recent field in mathematics and computer science,
combining elements of algebraic geometry and polyhedral geometry. The scalar arithmetic …

In this work, we propose a set of high-level canonical piecewise linear (HL-CPWL) functions
to form a representation basis for the set of piecewise linear functions f: D/spl rarr/R/sup …

Piecewise Linear (PL) approximation of non-linear behaviour is a well-known technique in
synthesis and analysis of electrical networks. However, the PL description should be …

Standard-setting, groundbreaking, authoritative, comprehensive—these often overused
words perfectly describe The Circuits and Filters Handbook, Third Edition. This standard …

In this paper, the finite-time l 2− l∞ filtering problem is investigated for discrete-time switched
piecewise-affine systems against deception attacks, where switching signals are subject to …

Identification of nonlinear systems is a multifaceted research area, with many diverse
approaches and methods. This thesis considers two different approaches:(nonparametric) …

Piecewise-linear (PL) modeling is often used to approximate the behavior of nonlinear
circuits. One of the possible PL modeling methodologies is based on the linear …

A modeling framework is proposed for circuits that are subject both to externally induced
switches (time events) and to state events. The framework applies to switched networks with …