The complexity of biological systems has intrigued scientists from
many disciplines and has given birth to the highly
influential field of systems biology wherein a wide array of
mathematical techniques, such as flux balance analysis, and
technology platforms, such as next generation sequencing, is used
to understand, elucidate, and predict the functions of complex
biological systems.  More recently, the field
of synthetic biology, i.e., de novo engineering
of biological systems, has emerged. Scientists from various
fields are focusing on how to render this engineering process
more predictable, reliable, scalable, affordable, and easy.Â
Systems and control theory is a branch of engineering and applied
sciences that rigorously deals with the complexities and
uncertainties of interconnected systems with the objective of
characterising fundamental systemic properties such as
stability, robustness, communication capacity, and other
performance metrics. Systems and control theory also strives to
offer concepts and methods that facilitate the design of
systems with rigorous guarantees on these properties. Over the last
100 years, it has made stellar theoretical and technological
contributions in diverse fields such as aerospace,
telecommunication, storage, automotive, power systems, and
others. Can it have, or evolve to have, a similar impact in
biology? The chapters in this book demonstrate that, indeed,
systems and control theoretic concepts and techniques can
have a significant impact in systems and synthetic biology.Â
Volume I provides a panoramic view that illustrates the potential
of such mathematical methods in systems and synthetic biology.
 Recent advances in systems and synthetic biology have
clearly demonstrated the benefits of a rigorous and systematic
approach rooted in the principles of systems and control theory -
not only does it lead to exciting insights and discoveries but it
also reduces the inordinately lengthy trial-and-error process of
wet-lab experimentation, thereby facilitating significant savings
in human and financial resources.  In Volume I, some of
the leading researchers in the field of systems and synthetic
biology demonstrate how systems and control theoretic concepts and
techniques can be useful, or should evolve to be useful, in order
to understand how biological systems function. As the
eminent computer scientist Donald Knuth put it, "biology easily has
500 years of exciting problems to work on". This edited book
presents but a small fraction of those for the benefit of (1)
systems and control theorists interested in molecular and cellular
biology and (2) biologists interested in rigorous modelling,
analysis and control of biological systems.
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