662 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of PotsdamDE34 papers
- University of HelsinkiFI26 papers
- Aalto UniversityFI23 papers
- Tampere UniversityFI18 papers
- Centre National de la Recherche ScientifiqueFR17 papers
- Northeastern UniversityUS17 papers
- University of JyväskyläFI14 papers
- Brown UniversityUS13 papers
- Technical University of MunichDE13 papers
- Aarhus UniversityDK12 papers
- Helsinki Institute of PhysicsFI10 papers
- Charles UniversityCZ9 papers
13 papers · 1 filter
Approximate controllability for Navier--Stokes equations in rectangles under Lions boundary conditions
Duy Phan, Sérgio S. Rodrigues
The Navier--Stokes system, under Lions boundary conditions, is proven to be approximately controllable provided a suitable saturating set does exist. An explicit satu…
Approximate robust output regulation of boundary control systems
Jukka-Pekka Humaloja, Mikael Kurula, Lassi Paunonen
We extend the internal model principle for systems with boundary control and boundary observation, and construct a robust controller for this class of systems. However, as a conseq…
Robust Regulation of Infinite-Dimensional Port-Hamiltonian Systems
Jukka-Pekka Humaloja, Lassi Paunonen
We will give general sufficient conditions under which a controller achieves robust regulation for a boundary control and observation system. Utilizing these conditions we construc…
Damped Posterior Linearization Filter
Matti Raitoharju, Lennart Svensson, Ángel F. García-Fernández +1
The iterated posterior linearization filter (IPLF) is an algorithm for Bayesian state estimation that performs the measurement update using iterative statistical regression. The ma…
A fractional representation approach to the robust regulation problem for SISO systems
Petteri Laakkonen, Alban Quadrat
The purpose of this article is to develop a new approach to the robust regulation problem for plants which do not necessarily admit coprime factorizations. The approach is purely a…
Reduced Order Internal Models in the Frequency Domain
Petteri Laakkonen, Lassi Paunonen
The internal model principle states that all robustly regulating controllers must contain a suitably reduplicated internal model of the signal to be regulated. Using frequency doma…
Stabilization to trajectories for parabolic equations
Duy Phan, Sérgio S. Rodrigues
The feedback exponential stabilization to trajectories for semilinear parabolic equations in a given bounded domain is addressed. The controls take values in a finite-dimensional s…
Robust Output Regulation for Continuous-Time Periodic Systems
Lassi Paunonen
We consider controller design for robust output tracking and disturbance rejection for continuous-time periodic linear systems with periodic reference and disturbance signals. As o…
Asymptotic behaviour in the robot rendezvous problem
L. Paunonen, D. Seifert
We present a non-technical overview of the results obtained by the authors (2015) concerning the so-called robot rendezvous problem studied by Feintuch and Francis (2012). In parti…
Controller Design for Robust Output Regulation of Regular Linear Systems
Lassi Paunonen
We present three dynamic error feedback controllers for robust output regulation of regular linear systems. These controllers are (i) a minimal order robust controller for exponent…
Partitioned Update Kalman Filter
Matti Raitoharju, Robert Piché, Juha Ala-Luhtala +1
In this paper we present a new Kalman filter extension for state update called Partitioned Update Kalman Filter (PUKF). PUKF updates the state using multidimensional measurements i…
BM3D Frames and Variational Image Deblurring
Aram Danielyan, Vladimir Katkovnik, Karen Egiazarian
A family of the Block Matching 3-D (BM3D) algorithms for various imaging problems has been recently proposed within the framework of nonlocal patch-wise image modeling [1], [2]. In…
Maximum compatibility estimates and shape reconstruction with boundary curves and volumes of generalized projections
Mikko Kaasalainen
We show that the boundary curves (profiles) in of the generalized projections of a body in uniquely determine a large class of shapes, and that sparse profile data, c…