Directions in Mathematical Systems : Theory and Optimization
Rantzer, Anders LU
and Byrnes, Christopher I.
(2003)
In Lecture Notes in Control and Information Sciences
286.
- Abstract
- This volume provides a compilation of recent contributions on feedback and robust control, modeling, estimation and filtering. They were presented on the occasion of the sixtieth birthday of Anders Lindquist, who has delivered fundamental contributions to the fields of systems, signals and control for more than three decades. His contributions include seminal work on the role of splitting subspaces in stochastic realization theory, on the partial realization problem for both deterministic and stochastic systems, on the solution of the rational covariance extension problem and on system identification. Lindquist's research includes the development of fast filtering algorithms, leading to a nonlinear dynamical system which computes spectral... (More)
- This volume provides a compilation of recent contributions on feedback and robust control, modeling, estimation and filtering. They were presented on the occasion of the sixtieth birthday of Anders Lindquist, who has delivered fundamental contributions to the fields of systems, signals and control for more than three decades. His contributions include seminal work on the role of splitting subspaces in stochastic realization theory, on the partial realization problem for both deterministic and stochastic systems, on the solution of the rational covariance extension problem and on system identification. Lindquist's research includes the development of fast filtering algorithms, leading to a nonlinear dynamical system which computes spectral factors in its steady state, and which provide an alternate, linear in the dimension of the state space, to computing the Kalman gain from a matrix Riccati equation. He established the separation principle for stochastic function differential equations, including some fundamental work on optimal control for stochastic systems with time lags. His recent work on a complete parameterization of all rational solutions to the Nevanlinna-Pick problem is providing a new approach to robust control design. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/536646
- editor
- Rantzer, Anders
LU
and Byrnes, Christopher I.
- organization
- publishing date
- 2003
- type
- Book/Report
- publication status
- published
- subject
- in
- Lecture Notes in Control and Information Sciences
- volume
- 286
- publisher
- Springer
- ISSN
- 0170-8643
- ISBN
- 3-540-00065-8
- language
- English
- LU publication?
- yes
- id
- 8bea564e-f598-449d-8ae0-04bc11329c35 (old id 536646)
- alternative location
- http://springerlink.com/content/e2tuaewlx03v/
- date added to LUP
- 2016-04-01 16:14:34
- date last changed
- 2018-11-21 20:39:51
@book{8bea564e-f598-449d-8ae0-04bc11329c35,
abstract = {{This volume provides a compilation of recent contributions on feedback and robust control, modeling, estimation and filtering. They were presented on the occasion of the sixtieth birthday of Anders Lindquist, who has delivered fundamental contributions to the fields of systems, signals and control for more than three decades. His contributions include seminal work on the role of splitting subspaces in stochastic realization theory, on the partial realization problem for both deterministic and stochastic systems, on the solution of the rational covariance extension problem and on system identification. Lindquist's research includes the development of fast filtering algorithms, leading to a nonlinear dynamical system which computes spectral factors in its steady state, and which provide an alternate, linear in the dimension of the state space, to computing the Kalman gain from a matrix Riccati equation. He established the separation principle for stochastic function differential equations, including some fundamental work on optimal control for stochastic systems with time lags. His recent work on a complete parameterization of all rational solutions to the Nevanlinna-Pick problem is providing a new approach to robust control design.}},
editor = {{Rantzer, Anders and Byrnes, Christopher I.}},
isbn = {{3-540-00065-8}},
issn = {{0170-8643}},
language = {{eng}},
note = {{Book Editor}},
publisher = {{Springer}},
series = {{Lecture Notes in Control and Information Sciences}},
title = {{Directions in Mathematical Systems : Theory and Optimization}},
url = {{http://springerlink.com/content/e2tuaewlx03v/}},
volume = {{286}},
year = {{2003}},
}