Get Linear Port-Hamiltonian Systems on Infinite-dimensional PDF

By Birgit Jacob, Hans J. Zwart

ISBN-10: 3034803982

ISBN-13: 9783034803984

ISBN-10: 3034803990

ISBN-13: 9783034803991

This ebook offers a self-contained advent to the idea of infinite-dimensional platforms conception and its purposes to port-Hamiltonian platforms. The textbook begins with undemanding recognized effects, then progresses easily to complicated themes in present research.

Many actual structures should be formulated utilizing a Hamiltonian framework, resulting in types defined through traditional or partial differential equations. For the aim of regulate and for the interconnection of 2 or extra Hamiltonian structures it truly is necessary to consider this interplay with the surroundings. This publication is the 1st textbook on infinite-dimensional port-Hamiltonian platforms. An summary practical analytical technique is mixed with the actual method of Hamiltonian platforms. This mixed technique ends up in simply verifiable stipulations for well-posedness and stability.

The e-book is offered to graduate engineers and mathematicians with a minimum historical past in practical research. in addition, the speculation is illustrated through many worked-out examples.

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Moreover, the system Σ(A1 , B1 ) is controllable. 36 Chapter 3. Controllability of Finite-Dimensional Systems Proof. Let Z := ran R(A, B) = span {v1 , . . , vr } ⊂ Kn . Thus we can find vectors vr+1 , . . , vn ∈ Kn such that the vectors v1 , . . , vn form a basis of Kn . We define T := v1 , . . , vn ∈ Kn×n . Therefore, T is invertible. We define ˆ := T −1 B B and Aˆ := T −1 AT. ˆ B) ˆ are similar. As These definitions imply that the systems Σ(A, B) and Σ(A, ran B ⊂ Z, we see ˆ := T −1 B = B1 B 0 with B1 ∈ Kr×m .

1) where x(t) is a vector in Rn or Cn . In Chapters 5 and 6 we show how systems described by partial differential equations can be written in the same form by using an infinite-dimensional state space. The formulation of the inputs and outputs is postponed till Chapter 10. Note that for partial differential equations the question of existence and uniqueness of solutions is more difficult than for ordinary differential equations. Thus we focus first on homogeneous partial differential equations. e. as an abstract differential equation x(t) ˙ = Ax(t).

20). However, we would like to have the freedom to deal with discontinuous and in particular (square) integrable inputs. Hence we choose as our input function space the set of locally integrable functions, L1loc ([0, ∞); Km ). 2. 20) possesses a classical solution. 21) is well-defined, and it defines a mild solution as we show in the following. 2. , if it satisfies t x(t) = x0 + Ax(s) + Bu(s) ds for t ≥ 0. 2. 3. Let u ∈ L1loc ([0, ∞); Km ). 21). 1) has the unique (mild) solution given by t x(t) = eAt x0 + eA(t−s) Bu(s) ds, 0 t y(t) = CeAt x0 + CeA(t−s) Bu(s) ds + Du(t).

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Linear Port-Hamiltonian Systems on Infinite-dimensional Spaces by Birgit Jacob, Hans J. Zwart


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