References of "Aalto, Atte 50025732"
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See detailSpatial discretization error in Kalman filtering for discrete-time infinite dimensional systems
Aalto, Atte UL

in IMA Journal of Mathematical Control and Information (in press)

We derive a reduced-order state estimator for discrete-time infinite dimensional linear systems with finite dimensional Gaussian input and output noise. This state estimator is the optimal one-step ... [more ▼]

We derive a reduced-order state estimator for discrete-time infinite dimensional linear systems with finite dimensional Gaussian input and output noise. This state estimator is the optimal one-step estimate that takes values in a fixed finite dimensional subspace of the system’s state space — consider, for example, a Finite Element space. The structure of the obtained state estimator is like the Kalman filter, but with an additional optimal embedding operator mapping from the reduced space to the original state space. We derive a Riccati difference equation for the error covariance and use sensitivity analysis to obtain a bound for the error of the state estimate due to the state space discretization. [less ▲]

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See detailIterative observer-based state and parameter estimation for linear systems
Aalto, Atte UL

in ESAIM: Control, Optimisation and Calculus of Variations (in press)

We propose an iterative method for joint state and parameter estimation using measurements on a time interval [0,T] for systems that are backward output stabilizable. Since this time interval is fixed ... [more ▼]

We propose an iterative method for joint state and parameter estimation using measurements on a time interval [0,T] for systems that are backward output stabilizable. Since this time interval is fixed, errors in initial state may have a big impact on the parameter estimate. We propose to use the back and forth nudging (BFN) method for estimating the system’s initial state and a Gauss–Newton step between BFN iterations for estimating the system parameters. Taking advantage of results on the optimality of the BFN method, we show that for systems with skew-adjoint generators, the initial state and parameter estimate minimizing an output error cost functional is an attractive fixed point for the proposed method. We treat both linear source estimation and bilinear parameter estimation problems. [less ▲]

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See detailOutput error minimizing back and forth nudging method for initial state recovery
Aalto, Atte UL

in Systems & Control Letters (2016), 94

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See detailConvergence of discrete time Kalman filter estimate to continuous time estimate
Aalto, Atte UL

in International Journal of Control (2016), 89(4), 668-679

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See detailModal locking between vocal fold and vocal tract oscillations: Simulations in time domain
Aalto, Atte UL; Murtola, Tiina; Malinen, Jarmo et al

E-print/Working paper (2015)

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See detailAcoustic wave guides as infinite-dimensional dynamical systems
Aalto, Atte UL; Lukkari, Teemu; Malinen, Jarmo

in ESAIM: Control, Optimisation and Calculus of Variations (2015), 21(2), 324-347

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See detailComposition of passive boundary control systems
Aalto, Atte UL; Malinen, Jarmo

in Mathematical Control and Related Fields (2013), 3(1), 1-19

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See detailInteraction of vocal fold and vocal tract oscillations
Aalto, Atte UL; Aalto, Daniel; Malinen, Jarmo et al

in Proceedings of the 24th Nordic Seminar on Computational Mechanics (2011)

We study the mechanical feedback coupling between the human vocal folds and vocal tract (VT) by simulating fundamental frequency glides over the lowest VT resonance. In the classical source–filter theory ... [more ▼]

We study the mechanical feedback coupling between the human vocal folds and vocal tract (VT) by simulating fundamental frequency glides over the lowest VT resonance. In the classical source–filter theory of speech production, the vocal folds produce a signal which is filtered by the resonator, vocal tract without any feedback. We have developed a computational model of the vocal folds and the VT that also includes a counter pressure from the VT to the vocal folds. This coupling gives rise to new computational observations (such as modal locking) that can be established experimentally. [less ▲]

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See detailWave propagation in networks: a system theoretic approach
Aalto, Atte UL; Malinen, Jarmo

in Proceedings of the 18th World Congress of the IFAC (2011)

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See detailA LF-pulse from a simple glottal flow model
Aalto, Atte UL; Alku, Paavo; Malinen, Jarmo

in Proceedings of the 6th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (2009)

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