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The past few years have seen the attention and rapid developments
in event-triggered sampled-data systems, in which the effect of
event-triggered sensor measurements and controller updates is
explored in controller analysis and design. This book offers the
first systematic treatment of event-triggered sampled-data control
system design using active disturbance rejection control (ADRC), an
effective approach that is popular in both theoretic research and
industrial applications. Extensive application examples with
numerous illustrations are included to show how the event-triggered
ADRC with theoretic performance guarantees can be implemented in
engineering systems and how the performance can be actually
achieved. For theoretic researchers and graduate students, the
presented results provide new directions in theoretic research on
event-triggered sampled-data systems; for control practitioners,
the book offers an effective approach to achieving satisfactory
performance with limited sampling rates.
This edited volume provides a complete introduction to critical
issues across the field of Indigenous peoples in contemporary
Taiwan, from theoretical approaches to empirical analysis. Seeking
to inform wider audiences about Taiwan's Indigenous peoples, this
book brings together both leading and emerging scholars as part of
an international collaborative research project, sharing broad
specialisms on modern Indigenous issues in Taiwan. This is one of
the first dedicated volumes in English to examine contemporary
Taiwan's Indigenous peoples from such a range of disciplinary
angles, following four section themes: long-term perspectives, the
arts, education, and politics. Chapters offer perspectives not only
from academic researchers, but also from writers bearing rich
practitioner and activist experience from within the Taiwanese
Indigenous rights movement. Methods range from extensive fieldwork
to Indigenous-directed film and literary analysis. Taiwan's
Contemporary Indigenous Peoples will prove a useful resource for
students and scholars of Taiwan Studies, Indigenous Studies and
Asia Pacific Studies, as well as educators designing future courses
on Indigenous studies.
The infinite dimensional analysis as a branch of mathematical
sciences was formed in the late 19th and early 20th centuries.
Motivated by problems in mathematical physics, the first steps in
this field were taken by V. Volterra, R. GateallX, P. Levy and M.
Frechet, among others (see the preface to Levy 2]). Nevertheless,
the most fruitful direction in this field is the infinite
dimensional integration theory initiated by N. Wiener and A. N.
Kolmogorov which is closely related to the developments of the
theory of stochastic processes. It was Wiener who constructed for
the first time in 1923 a probability measure on the space of all
continuous functions (i. e. the Wiener measure) which provided an
ideal math ematical model for Brownian motion. Then some important
properties of Wiener integrals, especially the quasi-invariance of
Gaussian measures, were discovered by R. Cameron and W. Martin l,
2, 3]. In 1931, Kolmogorov l] deduced a second partial differential
equation for transition probabilities of Markov processes order
with continuous trajectories (i. e. diffusion processes) and thus
revealed the deep connection between theories of differential
equations and stochastic processes. The stochastic analysis created
by K. Ito (also independently by Gihman 1]) in the forties is
essentially an infinitesimal analysis for trajectories of
stochastic processes. By virtue of Ito's stochastic differential
equations one can construct diffusion processes via direct
probabilistic methods and treat them as function als of Brownian
paths (i. e. the Wiener functionals)."
This edited volume provides a complete introduction to critical
issues across the field of Indigenous peoples in contemporary
Taiwan, from theoretical approaches to empirical analysis. Seeking
to inform wider audiences about Taiwan's Indigenous peoples, this
book brings together both leading and emerging scholars as part of
an international collaborative research project, sharing broad
specialisms on modern Indigenous issues in Taiwan. This is one of
the first dedicated volumes in English to examine contemporary
Taiwan's Indigenous peoples from such a range of disciplinary
angles, following four section themes: long-term perspectives, the
arts, education, and politics. Chapters offer perspectives not only
from academic researchers, but also from writers bearing rich
practitioner and activist experience from within the Taiwanese
Indigenous rights movement. Methods range from extensive fieldwork
to Indigenous-directed film and literary analysis. Taiwan's
Contemporary Indigenous Peoples will prove a useful resource for
students and scholars of Taiwan Studies, Indigenous Studies and
Asia Pacific Studies, as well as educators designing future courses
on Indigenous studies.
The past few years have seen the attention and rapid developments
in event-triggered sampled-data systems, in which the effect of
event-triggered sensor measurements and controller updates is
explored in controller analysis and design. This book offers the
first systematic treatment of event-triggered sampled-data control
system design using active disturbance rejection control (ADRC), an
effective approach that is popular in both theoretic research and
industrial applications. Extensive application examples with
numerous illustrations are included to show how the event-triggered
ADRC with theoretic performance guarantees can be implemented in
engineering systems and how the performance can be actually
achieved. For theoretic researchers and graduate students, the
presented results provide new directions in theoretic research on
event-triggered sampled-data systems; for control practitioners,
the book offers an effective approach to achieving satisfactory
performance with limited sampling rates.
The infinite dimensional analysis as a branch of mathematical
sciences was formed in the late 19th and early 20th centuries.
Motivated by problems in mathematical physics, the first steps in
this field were taken by V. Volterra, R. GateallX, P. Levy and M.
Frechet, among others (see the preface to Levy 2]). Nevertheless,
the most fruitful direction in this field is the infinite
dimensional integration theory initiated by N. Wiener and A. N.
Kolmogorov which is closely related to the developments of the
theory of stochastic processes. It was Wiener who constructed for
the first time in 1923 a probability measure on the space of all
continuous functions (i. e. the Wiener measure) which provided an
ideal math ematical model for Brownian motion. Then some important
properties of Wiener integrals, especially the quasi-invariance of
Gaussian measures, were discovered by R. Cameron and W. Martin l,
2, 3]. In 1931, Kolmogorov l] deduced a second partial differential
equation for transition probabilities of Markov processes order
with continuous trajectories (i. e. diffusion processes) and thus
revealed the deep connection between theories of differential
equations and stochastic processes. The stochastic analysis created
by K. Ito (also independently by Gihman 1]) in the forties is
essentially an infinitesimal analysis for trajectories of
stochastic processes. By virtue of Ito's stochastic differential
equations one can construct diffusion processes via direct
probabilistic methods and treat them as function als of Brownian
paths (i. e. the Wiener functionals)."
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