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Mathematicians have devised different chaotic systems that are
modeled by integer or fractional-order differential equations, and
whose mathematical models can generate chaos or hyperchaos. The
numerical methods to simulate those integer and fractional-order
chaotic systems are quite different and their exactness is
responsible in the evaluation of characteristics like Lyapunov
exponents, Kaplan-Yorke dimension, and entropy. One challenge is
estimating the step-size to run a numerical method. It can be done
analyzing the eigenvalues of self-excited attractors, while for
hidden attractors it is difficult to evaluate the equilibrium
points that are required to formulate the Jacobian matrices. Time
simulation of fractional-order chaotic oscillators also requires
estimating a memory length to achieve exact results, and it is
associated to memories in hardware design. In this manner,
simulating chaotic/hyperchaotic oscillators of
integer/fractional-order and with self-excited/hidden attractors is
quite important to evaluate their Lyapunov exponents, Kaplan-Yorke
dimension and entropy. Further, to improve the dynamics of the
oscillators, their main characteristics can be optimized applying
metaheuristics, which basically consists of varying the values of
the coefficients of a mathematical model. The optimized models can
then be implemented using commercially available amplifiers,
field-programmable analog arrays (FPAA), field-programmable gate
arrays (FPGA), microcontrollers, graphic processing units, and even
using nanometer technology of integrated circuits. The book
describes the application of different numerical methods to
simulate integer/fractional-order chaotic systems. These methods
are used within optimization loops to maximize positive Lyapunov
exponents, Kaplan-Yorke dimension, and entropy. Single and
multi-objective optimization approaches applying metaheuristics are
described, as well as their tuning techniques to generate feasible
solutions that are suitable for electronic implementation. The book
details several applications of chaotic oscillators such as in
random bit/number generators, cryptography, secure communications,
robotics, and Internet of Things.
Mathematicians have devised different chaotic systems that are
modeled by integer or fractional-order differential equations, and
whose mathematical models can generate chaos or hyperchaos. The
numerical methods to simulate those integer and fractional-order
chaotic systems are quite different and their exactness is
responsible in the evaluation of characteristics like Lyapunov
exponents, Kaplan-Yorke dimension, and entropy. One challenge is
estimating the step-size to run a numerical method. It can be done
analyzing the eigenvalues of self-excited attractors, while for
hidden attractors it is difficult to evaluate the equilibrium
points that are required to formulate the Jacobian matrices. Time
simulation of fractional-order chaotic oscillators also requires
estimating a memory length to achieve exact results, and it is
associated to memories in hardware design. In this manner,
simulating chaotic/hyperchaotic oscillators of
integer/fractional-order and with self-excited/hidden attractors is
quite important to evaluate their Lyapunov exponents, Kaplan-Yorke
dimension and entropy. Further, to improve the dynamics of the
oscillators, their main characteristics can be optimized applying
metaheuristics, which basically consists of varying the values of
the coefficients of a mathematical model. The optimized models can
then be implemented using commercially available amplifiers,
field-programmable analog arrays (FPAA), field-programmable gate
arrays (FPGA), microcontrollers, graphic processing units, and even
using nanometer technology of integrated circuits. The book
describes the application of different numerical methods to
simulate integer/fractional-order chaotic systems. These methods
are used within optimization loops to maximize positive Lyapunov
exponents, Kaplan-Yorke dimension, and entropy. Single and
multi-objective optimization approaches applying metaheuristics are
described, as well as their tuning techniques to generate feasible
solutions that are suitable for electronic implementation. The book
details several applications of chaotic oscillators such as in
random bit/number generators, cryptography, secure communications,
robotics, and Internet of Things.
This book details the simulation and optimization of integer and
fractional-order chaotic systems, and how they can be implemented
in the analog and digital domains using FPAAs and FPGAs. Design
guidelines are provided to use commercially available electronic
devices, and to perform hardware descriptions of
integer/fractional-order chaotic systems programming in VHDL.
Finally, several engineering applications oriented to cryptography,
internet of things, robotics and chaotic communications, are
detailed to highlight the usefulness of FPAA/FPGA based
integer/fractional-order chaotic systems. Provides guidelines to
implement fractional-order derivatives using commercially available
devices; Describes details on using FPAAs to approach
fractional-order chaotic systems; Includes details on using FPGAs
to approach fractional-order chaotic systems, programming in VHDL
and reducing hardware resources; Discusses applications to
cryptography, internet of things, robotics and chaotic
communications.
This book offers readers a clear guide to implementing engineering
applications with FPGAs, from the mathematical description to the
hardware synthesis, including discussion of VHDL programming and
co-simulation issues. Coverage includes FPGA realizations such as:
chaos generators that are described from their mathematical models;
artificial neural networks (ANNs) to predict chaotic time series,
for which a discussion of different ANN topologies is included,
with different learning techniques and activation functions; random
number generators (RNGs) that are realized using different chaos
generators, and discussions of their maximum Lyapunov exponent
values and entropies. Finally, optimized chaotic oscillators are
synchronized and realized to implement a secure communication
system that processes black and white and grey-scale images. In
each application, readers will find VHDL programming guidelines and
computer arithmetic issues, along with co-simulation examples with
Active-HDL and Simulink.The whole book provides a practical guide
to implementing a variety of engineering applications from VHDL
programming and co-simulation issues, to FPGA realizations of chaos
generators, ANNs for chaotic time-series prediction, RNGs and
chaotic secure communications for image transmission.
This book explains the application of recent advances in
computational intelligence – algorithms, design methodologies,
and synthesis techniques – to the design of integrated circuits
and systems. It highlights new biasing and sizing approaches and
optimization techniques and their application to the design of
high-performance digital, VLSI, radio-frequency, and mixed-signal
circuits and systems. This first of two related volumes addresses
the design of analog and mixed-signal (AMS) and radio-frequency
(RF) circuits, with 17 chapters grouped into parts on analog and
mixed-signal applications, and radio-frequency design. It will be
of interest to practitioners and researchers in computer science
and electronics engineering engaged with the design of electronic
circuits.
This book explains the application of recent advances in
computational intelligence – algorithms, design methodologies,
and synthesis techniques – to the design of integrated circuits
and systems. It highlights new biasing and sizing approaches and
optimization techniques and their application to the design of
high-performance digital, VLSI, radio-frequency, and mixed-signal
circuits and systems. This second of two related volumes addresses
digital and network designs and applications, with 12 chapters
grouped into parts on digital circuit design, network optimization,
and applications. It will be of interest to practitioners and
researchers in computer science and electronics engineering engaged
with the design of electronic circuits.
This book offers readers a clear guide to implementing engineering
applications with FPGAs, from the mathematical description to the
hardware synthesis, including discussion of VHDL programming and
co-simulation issues. Coverage includes FPGA realizations such as:
chaos generators that are described from their mathematical models;
artificial neural networks (ANNs) to predict chaotic time series,
for which a discussion of different ANN topologies is included,
with different learning techniques and activation functions; random
number generators (RNGs) that are realized using different chaos
generators, and discussions of their maximum Lyapunov exponent
values and entropies. Finally, optimized chaotic oscillators are
synchronized and realized to implement a secure communication
system that processes black and white and grey-scale images. In
each application, readers will find VHDL programming guidelines and
computer arithmetic issues, along with co-simulation examples with
Active-HDL and Simulink.The whole book provides a practical guide
to implementing a variety of engineering applications from VHDL
programming and co-simulation issues, to FPGA realizations of chaos
generators, ANNs for chaotic time-series prediction, RNGs and
chaotic secure communications for image transmission.
This book explains the application of recent advances in
computational intelligence - algorithms, design methodologies, and
synthesis techniques - to the design of integrated circuits and
systems. It highlights new biasing and sizing approaches and
optimization techniques and their application to the design of
high-performance digital, VLSI, radio-frequency, and mixed-signal
circuits and systems. This second of two related volumes addresses
digital and network designs and applications, with 12 chapters
grouped into parts on digital circuit design, network optimization,
and applications. It will be of interest to practitioners and
researchers in computer science and electronics engineering engaged
with the design of electronic circuits.
Despite the fact that in the digital domain, designers can take
full benefits of IPs and design automation tools to synthesize and
design very complex systems, the analog designers' task is still
considered as a 'handcraft', cumbersome and very time consuming
process. Thus, tremendous efforts are being deployed to develop new
design methodologies in the analog/RF and mixed-signal domains.
This book collects 16 state-of-the-art contributions devoted to the
topic of systematic design of analog, RF and mixed signal circuits.
Divided in the two parts Methodologies and Techniques recent
theories, synthesis techniques and design methodologies, as well as
new sizing approaches in the field of robust analog and mixed
signal design automation are presented for researchers and R/D
engineers.
Despite the fact that in the digital domain, designers can take
full benefits of IPs and design automation tools to synthesize and
design very complex systems, the analog designers' task is still
considered as a 'handcraft', cumbersome and very time consuming
process. Thus, tremendous efforts are being deployed to develop new
design methodologies in the analog/RF and mixed-signal domains.
This book collects 16 state-of-the-art contributions devoted to the
topic of systematic design of analog, RF and mixed signal circuits.
Divided in the two parts Methodologies and Techniques recent
theories, synthesis techniques and design methodologies, as well as
new sizing approaches in the field of robust analog and mixed
signal design automation are presented for researchers and R/D
engineers.
This book is a compilation of scientific articles written by
recognized researchers, and select students, participating in the
Second Conference on the Study of Complex Systems and their
Applications (EDIESCA 2021). EDIESCA 2021 arose from the need for
academic and research groups that carry out this scientific
research to disseminate their results internationally. The study
and characterization of systems with non-linear and/or chaotic
behavior has been of great interest to researchers around the
world, for which many important results have been obtained with
various applications. The dynamic study of chaotic oscillators of
different models, such as Rössler, Lorenz, and Chua, has generated
important advances in understanding of chemical reactions,
meteorological behavior, design of electronic devices, and other
applications. Topics at the event included applications for
communications systems by masking techniques, financial behavior,
networks analysis, nonlinear lasers, numerical modeling, electronic
design, and other interesting topics in the area of complex
systems. Additionally, there are results on numerical simulation
and electronic designs to generate complex dynamic behaviors.
This book is a compilation of scientific articles written by
recognized researchers, and select students, participating in the
Second Conference on the Study of Complex Systems and their
Applications (EDIESCA 2021). EDIESCA 2021 arose from the need for
academic and research groups that carry out this scientific
research to disseminate their results internationally. The study
and characterization of systems with non-linear and/or chaotic
behavior has been of great interest to researchers around the
world, for which many important results have been obtained with
various applications. The dynamic study of chaotic oscillators of
different models, such as Roessler, Lorenz, and Chua, has generated
important advances in understanding of chemical reactions,
meteorological behavior, design of electronic devices, and other
applications. Topics at the event included applications for
communications systems by masking techniques, financial behavior,
networks analysis, nonlinear lasers, numerical modeling, electronic
design, and other interesting topics in the area of complex
systems. Additionally, there are results on numerical simulation
and electronic designs to generate complex dynamic behaviors.
This book explains the application of recent advances in
computational intelligence - algorithms, design methodologies, and
synthesis techniques - to the design of integrated circuits and
systems. It highlights new biasing and sizing approaches and
optimization techniques and their application to the design of
high-performance digital, VLSI, radio-frequency, and mixed-signal
circuits and systems. This first of two related volumes addresses
the design of analog and mixed-signal (AMS) and radio-frequency
(RF) circuits, with 17 chapters grouped into parts on analog and
mixed-signal applications, and radio-frequency design. It will be
of interest to practitioners and researchers in computer science
and electronics engineering engaged with the design of electronic
circuits.
This book provides comprehensive coverage of the recent advances in
symbolic analysis techniques for design automation of nanometer
VLSI systems. The presentation is organized in parts of
fundamentals, basic implementation methods and applications for
VLSI design. Topics emphasized include statistical timing and
crosstalk analysis, statistical and parallel analysis, performance
bound analysis and behavioral modeling for analog integrated
circuits. Among the recent advances, the Binary Decision Diagram
(BDD) based approaches are studied in depth. The BDD-based
hierarchical symbolic analysis approaches, have essentially broken
the analog circuit size barrier.
Improving the performance of existing technologies has always been
a focal practice in the development of computational systems.
However, as circuitry is becoming more complex, conventional
techniques are becoming outdated and new research methodologies are
being implemented by designers. Performance Optimization Techniques
in Analog, Mix-Signal, and Radio-Frequency Circuit Design features
recent advances in the engineering of integrated systems with
prominence placed on methods for maximizing the functionality of
these systems. This book emphasizes prospective trends in the field
and is an essential reference source for researchers,
practitioners, engineers, and technology designers interested in
emerging research and techniques in the performance optimization of
different circuit designs.
This book presents theory, design methods and novel applications
for integrated circuits for analog signal processing. The
discussion covers a wide variety of active devices, active elements
and amplifiers, working in voltage mode, current mode and mixed
mode. This includes voltage operational amplifiers, current
operational amplifiers, operational transconductance amplifiers,
operational transresistance amplifiers, current conveyors, current
differencing transconductance amplifiers, etc. Design methods and
challenges posed by nanometer technology are discussed and
applications described, including signal amplification, filtering,
data acquisition systems such as neural recording, sensor
conditioning such as biomedical implants, actuator conditioning,
noise generators, oscillators, mixers, etc. Presents analysis and
synthesis methods to generate all circuit topologies from which the
designer can select the best one for the desired application;
Includes design guidelines for active devices/elements with low
voltage and low power constraints; Offers guidelines for selecting
the right active devices/elements in the design of linear and
nonlinear circuits; Discusses optimization of the active
devices/elements for process and manufacturing issues of nanometer
technology.
This book provides comprehensive coverage of the recent advances in
symbolic analysis techniques for design automation of nanometer
VLSI systems. The presentation is organized in parts of
fundamentals, basic implementation methods and applications for
VLSI design. Topics emphasized include statistical timing and
crosstalk analysis, statistical and parallel analysis, performance
bound analysis and behavioral modeling for analog integrated
circuits . Among the recent advances, the Binary Decision Diagram
(BDD) based approaches are studied in depth. The BDD-based
hierarchical symbolic analysis approaches, have essentially broken
the analog circuit size barrier.
"
This book presents theory, design methods and novel applications
for integrated circuits for analog signal processing. The
discussion covers a wide variety of active devices, active elements
and amplifiers, working in voltage mode, current mode and mixed
mode. This includes voltage operational amplifiers, current
operational amplifiers, operational transconductance amplifiers,
operational transresistance amplifiers, current conveyors, current
differencing transconductance amplifiers, etc. Design methods and
challenges posed by nanometer technology are discussed and
applications described, including signal amplification, filtering,
data acquisition systems such as neural recording, sensor
conditioning such as biomedical implants, actuator conditioning,
noise generators, oscillators, mixers, etc.
Presents analysis and synthesis methods to generate all circuit
topologies from which the designer can select the best one for the
desired application; Includes design guidelines for active
devices/elements with low voltage and low power constraints;Offers
guidelines for selecting the right active devices/elements in the
design of linear and nonlinear circuits;Discusses optimization of
the active devices/elements for process and manufacturing issues of
nanometer technology."
This book presents recent developments and advances regarding the
design, applications and performances of analog circuits. The first
part focuses on analog design automation and application of
symbolic analysis, design issues for the future devices and
circuits using silicon-germanium (SiGe), Heterojunction Bipolar
Transistors (HBTs), and approximation in analog signal processing
circuit design. The second part examines the application of
transconductance amplifiers and realizations by applying the nodal
admittance matrix technique, the automatic synthesis of
current-feedback operational amplifiers and their applications to
chaos-based secure communications, and application of amplifiers
for the realisation of an analogue CMOS morphological edge detector
for gray-scale images.
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VLSI Design (Hardcover)
Esteban Tlelo-Cuautle, Sheldon X. D. Tan
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R4,366
R4,067
Discovery Miles 40 670
Save R299 (7%)
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