B
Brian D. O. Anderson
Researcher at Australian National University
Publications - 1120
Citations - 50069
Brian D. O. Anderson is an academic researcher from Australian National University. The author has contributed to research in topics: Linear system & Control theory. The author has an hindex of 96, co-authored 1107 publications receiving 47104 citations. Previous affiliations of Brian D. O. Anderson include University of Newcastle & Eindhoven University of Technology.
Papers
More filters
Proceedings ArticleDOI
Relations between frequency dependent control and state weighting in LQG problems
TL;DR: In this article, the relation between controller designs for the same linear system achieved with two different quadratic performance indices was investigated, with these indices differing only to the extent that one has frequency weighting on the control, while the other has the inverse frequency weight on the state.
Journal ArticleDOI
Frequency Shaped Linear Optimal Control with Transfer Function Riccati Equations
TL;DR: In this article, standard linear optimal control theory is generalized using a spectral factorization approach to elucidate some effects of frequency shaped performance indices, and robustness results which parallel those of standard optimal control design.
Journal ArticleDOI
On the Zeros of Blocked Time-invariant Systems
TL;DR: It is demonstrated that nonsquare blocked systems i.e. blocked systems with number of outputs unequal to the number of inputs, generically have no zeros; however, square blocked systems have only finite zeros and these finiteZeros have geometric multiplicity one.
Book ChapterDOI
Identification of dynamic systems from noisy data: the case m*=n-1
TL;DR: Linear dynamic errors-in-variables (or factor) models in the framework of stationary processes are considered and a description of the set of all systems compatible with the second moments of the observations is described.
Journal ArticleDOI
Mediated Remote Synchronization of Kuramoto-Sakaguchi Oscillators: the Number of Mediators Matters
TL;DR: This work rigorously proves thatmediated remote synchronization, i.e., synchronization between those $n$ oscillators that are not directly connected, becomes more robust as the number of mediators increases.