Download e-book for iPad: Exact Boundary Controllability of Nodal Profile for by Tatsien Li,Ke Wang,Qilong Gu

By Tatsien Li,Ke Wang,Qilong Gu

ISBN-10: 9811028419

ISBN-13: 9789811028410

This ebook presents a accomplished evaluation of the precise boundary controllability of nodal profile, a brand new form of specific boundary controllability motivated via a few sensible applications.  this sort of controllability turns out to be useful in perform as it does no longer require any accurately given ultimate country to be attained at an appropriate time t=T via boundary controls, as an alternative it calls for the kingdom to precisely healthy any given call for (profile) on a number of nodes after an appropriate time t=T by way of boundary controls. during this publication we current a basic dialogue of this sort of controllability for common 1-D first order quasilinear hyperbolic structures and for normal 1-D quasilinear wave equations on an period in addition to on a tree-like community utilizing a modular-structure construtive procedure, advised in LI Tatsien's monograph "Controllability and Observability for Quasilinear Hyperbolic Systems"(2010), and we identify a whole idea at the neighborhood distinct boundary controllability of nodal profile for 1-D quasilinear hyperbolic systems.

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New PDF release: Exact Boundary Controllability of Nodal Profile for

This publication presents a complete evaluation of the precise boundary controllability of nodal profile, a brand new type of targeted boundary controllability motivated through a few functional applications.  this sort of controllability turns out to be useful in perform as it does no longer require any accurately given ultimate nation to be attained at an appropriate time t=T through boundary controls, in its place it calls for the kingdom to precisely healthy any given call for (profile) on a number of nodes after an appropriate time t=T via boundary controls.

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Exact Boundary Controllability of Nodal Profile for Quasilinear Hyperbolic Systems (SpringerBriefs in Mathematics) by Tatsien Li,Ke Wang,Qilong Gu


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