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Local Disturbance Decoupling with Stability for Nonlinear Systems: Lecture Notes in Control and Information Sciences, cartea 166

Autor Leonardus L.M. van der Wegen
en Limba Engleză Paperback – 25 noi 1991
In this monograph the local disturbance decoupling problemwith stability istreated for nonlinear systems. Thisproblem consists in finding a (dynamic) state feedback for agiven control system with two kinds of inputs, viz.controlled inputs and (uncontrolled) disturbances such thatafter application of this feedback the outputs are notinfluenced by the disturbances and the resulting internaldynamics are locally exponentially stable. In case onlystatic state feedback is allowed two essentially differentsolutions are obtained, viz. a fundamental one and a moreproblem-oriented one. Both methods generalize well-knownsolutions for linear systems. In the last chapter a solutionis found in case dynamic state feedback is allowed. Here atypical nonlinear phenomenon is pointed out, namely thatthere exist nonlinear systems for which the disturbancedecoupling problem (with stability) can be solved byapplying dynamic feedback, but not by using static feedback.The bookis intended for researchers in mathematicalnonlinear systems theory. Geometric techniques play a keyrole in the book. Therefore, in Chapter 6 algebraictechniques are recalled and used.
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Specificații

ISBN-13: 9783540545439
ISBN-10: 3540545433
Pagini: 148
Ilustrații: V, 138 p.
Dimensiuni: 170 x 244 x 8 mm
Greutate: 0.25 kg
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Control and Information Sciences

Locul publicării:Berlin, Heidelberg, Germany

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Research

Cuprins

1. Introduction.- 2. Preliminaries.- 3. The local disturbance decoupling problem with stability for nonlinear systems 1.- 4. The local disturbance decoupling problem with stability for nonlinear systems 2.- 5. Connections between the solution of the LDDPS for a nonlinear system and the DDPS for its linearization.- 6. The local dynamic disturbance decoupling problem with stability for nonlinear systems.- 7. Conclusions.