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الصفحة 1
الصفحة 1
Boreal Peatland Ecosystems
This volume adopts an ecosystems approach to understanding the world's boreal peatlands. It focuses on biogeochemical patterns and processes, production, decomposition, and peat accumulation, and provides additional information on animal and fungal diversity. A recurring theme is the legacy of boreal peatlands as impressive accumulators of carbon as peat over millennia. This carbon legacy is under threat from a wide diversity of disturbances, including wildfire, ongoing climate change, the changing chemistry of atmospheric deposition, and continuing resource exploitation. The volume is of inte.
Lasers in Endodontics : Scientific Background and Clinical Applications
This book offers up-to-date information on all aspects of the use of lasers in endodontics, focusing especially on the various laser applications, including primary and permanent root canal therapies, retreatments, apical surgery and pulp therapy.
Iterative Learning Control : Robustness and Monotonic Convergence for Interval Systems
This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. Two key problems with the fundamentals of iterative learning control (ILC) design as treated by existing work are: first, many ILC design strategies assume nominal knowledge of the system to be controlled and; second, it is well-known that many ILC algorithms do not produce monotonic convergence, though in applications monotonic convergence is often essential. Iterative Learning Control takes account of the recently-developed comprehensive approach to robust ILC analysis and design established to handle the situation where the plant model is uncertain. Considering ILC in the iteration domain, it presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty.
