An approach to the design of experiments is presented in the framework of bounded-error
(guaranteed) parameter estimation for nonlinear static and dynamic systems. The …

This paper gives an overview of recent developments in set-theoretic methods for nonlinear
systems, with a particular focus on the activities in our own research group. Central to these …

Dual control seeks to explicitly deal with the trade-off between the excitation of the controlled
system by probing actions, which lead to a more accurate estimation of the unknown …

We present an improvement of existing methods for globally solving optimal experimental
design (OED) for bounded-error estimation based on a bilevel formulation from Mukkala et …

Functional microgels with tailored structure and specific properties are required for medical
and technical applications, thus motivating model-based optimization of their fabrication …

In the context of state estimation of dynamical systems subject to bounded perturbations and
measurement noises, this paper proposes an application of a guaranteed ellipsoidal-based …

Typical optimal experimental design (OED) methods aim at minimizing the covariance matrix
of the estimated parameters regardless of the intended application of the model that is being …

This article presents an arithmetic for the computation of Chebyshev models for factorable
functions and an analysis of their convergence properties. Similar to Taylor models …

Several mathematical models to predict tumor growth over time have been developed in the
last decades. A central aspect of such models is the interaction of tumor cells with immune …

Dual iterative linear quadratic Gaussian (iLQG) is an approximately optimal control method
that implicitly balances the often-opposing control goals of cost function minimization and …