We describe a recently developed Descriptor Systems Toolbox implemented under Matlab. This Toolbox relies on the object oriented approach for control systems analysis and design provided within the standard Control Toolbox of Matlab. The basic approach to develop the Descriptor Systems Toolbox was to exploit the powerful matrix and system object manipulation features of Matlab via flexible and ...

In this paper, a new method is introduced to implement chaotic generators based on the Henon map and Lorenz chaotic generators given by the state equations using the Field Programmable Gate Array (FPGA). The aim of this method is to increase the frequency of the chaotic generators. The new method is based on the MATLAB Software, Xilinx System Generator, Xilinx Alliance tools and Synplicity Synp...

The use of networked control systems is very modern in industrial control. The evolution of computer networks, the increase of transfer speed and noise resistance caused the installation of Ethernet technologies in industry more frequent [1]. The most frequently used standard for interconnecting Matlab with industrial devices is the OPC standard. Our goal was to design a Matlab toolbox for comm...

SUMMARY We present SBMLToolbox, a toolbox that facilitates importing and exporting models represented in the Systems Biology Markup Language (SBML) in and out of the MATLAB environment and provides functionality that enables an experienced user of either SBML or MATLAB to combine the computing power of MATLAB with the portability and exchangeability of an SBML model. SBMLToolbox supports all le...

Custom tools for MATLAB supporting analysis and design of nonlinear control systems are introduced in this paper. The paper demonstrates their use to solve sample nonlinear control problems and presents some of the MATLAB algorithms involved. A lot of attention is dedicated to a rather unusual collaboration of Simulink and Symbolic Math Toolbox that was employed in creation of the tools.

This paper introduces a new Matlab package, Ract, aimed at solving a class of probabilistic analysis and synthesis problems arising in control. The package offers a convenient way for defining various types of structured uncertainties as well as formulating and analyzing the ensuing robustness analysis tasks from a probabilistic point of view. It also provides a full-featured framework for LMI-...

A matlab toolbox has been developed that analyzes digital lter structures. After describing the digital lter structure in a SPICE-like format, the programs of this toolbox can map a digital lter structure into a state-space description, convert a state-space description to a z-domain transfer function, compute the maximum signal magnitude when input is bounded by unity, compute noise power at t...

While many synthetic aperture radar (SAR) image formation techniques exist, two of the most intuitive methods for implementation by SAR novices are the matched filter and backprojection algorithms. The matched filter and (non-optimized) backprojection algorithms are undeniably computationally complex. However, the backprojection algorithm may be successfully employed for many SAR research endea...

This paper describes a Matlab/C++ finite element toolbox, called FELICITY, for 4 simulating various types of systems of partial differential equations (e.g. coupled elliptic/parabolic 5 problems) using the finite element method. It uses Matlab, in an object-oriented way, for high level 6 manipulation of data structures in finite element codes, while utilizing a domain-specific language 7 (DSL) ...

Metamodelling offers an efficient way to imitate the behaviour of computationally expensive simulators. Kriging based metamodels are popular in approximating computation-intensive simulations of deterministic nature. Irrespective of the existence of various variants of Kriging in the literature, only a handful of Kriging implementations are publicly available and most, if not all, free librarie...