A new direct multiple shooting method for multistage constrained optimization problems with large-scale differential-algebraic process models is presented. It is advantageous in case of optimization problems with many state variabels but few degrees of freedom, as they arise often in optimal control and parameter identification of spatially discretized partial differential-algebraic equation (P...

The most general evolution of the density matrix of a quantum system with a finite-dimensional state space is by stochastic maps which take a density matrix linearly into the set of density matrices. These dynamical stochastic maps form a linear convex set that may be viewed as supermatrices. The property of hermiticity of density matrices renders an associated supermatrix hermitian and hence d...

We present a data-driven stochastic optimal control framework that is derived using the path integral (PI) control approach. We find iterative control laws analytically without a priori policy parameterization based on probabilistic representation of the learned dynamics model. The proposed algorithm operates in a forward-backward sweep manner which differentiate it from other PI-related method...

Purpose. Justification of a structural construction and parameters regression model for the normalization specific energy consumption when controlling production process efficiency. Methodology. Analysis peculiarities efficiency control in conditions frequent significant changes consumption, followed by determination structure model. Findings. Based on presence process, reasonableness normalizi...

The optimal pointwise control of the KdV equation is investigated with an objective of minimizing a given performance measure. The performance measure is specified as a quadratic functional of the final state and velocity functions along with the energy due to openand closed-loop controls. The minimization of the performance measure over the controls is subjected to the KdV equation with period...

Non Uniform Rational B-splines (NURBs) are proved to be very promising for metamodeling in engineering problems, because they have unique properties such as local modification scheme, strong convex hull property, and infinitely differentiability, etc. Since NURBs are defined by control points, knot vector, and weights associated with control points, the precision of NURBs is influenced by all o...

A new sea spray source function (SSSF), termed Oceanflux Sea Spray Aerosol or OSSA, was derived based on in-situ sea spray aerosol measurements along with meteorological/physical parameters. Submicron sea spray aerosol fluxes derived from particle number concentration measurements at the Mace Head coastal station, on the west coast of Ireland, were used together with open-ocean eddy correlation...

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