Results 181 to 190 of about 26,905 (295)

Admission Possible

open access: yesPlastic and Reconstructive Surgery, 1999
openaire   +3 more sources

Hypoplastic Model for Unsaturated Soils With Degree of Saturation Dependent Stiffness

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT This paper presents an enhanced hydro‐mechanically coupled hypoplastic constitutive model for unsaturated soils, developed by extending an existing framework, with particular emphasis on improving the stiffness formulation to better capture the influence of the degree of saturation. The existing framework links Bishop's effective stress to the
Shanujah Mathuranayagam   +3 more
wiley   +1 more source

Suboptimal Model Predictive Control With a Computation Governor: Stability, Recursive Feasibility, and Applications to Alternating Direction Method of Multipliers

open access: yesOptimal Control Applications and Methods, EarlyView.
Computational governor is shown which simultaneously adjusts the reference and adjusts the constraints. ABSTRACT The paper considers a computational governor strategy to facilitate the implementation of Model Predictive Control (MPC) based on inexact optimization when the time available to compute the solution may be insufficient.
Steven van Leeuwen, Ilya Kolmanovsky
wiley   +1 more source

Stochastic Model Predictive Control Using Indirect Feedback With a Modified Terminal Constraint

open access: yesOptimal Control Applications and Methods, EarlyView.
This paper proposes a novel dynamic terminal set approach for the model predictive control (MPC) design. It concerns the class of linear systems subject to stochastic disturbances and builds upon an indirect feedback (IF) strategy. The main contribution is to explore the time‐varying definition of the constraints in the indirect feedback SMPC (IF‐SMPC)
Tito L. M. Santos, Sorin Olaru
wiley   +1 more source

Safeguarded Reinforcement Learning for Dynamic Environments

open access: yesOptimal Control Applications and Methods, EarlyView.
This paper uses a combination of Reinforcement Learning and Funnel Control to train a fast and safe controller for systems operating in changing environments. Furthermore, the presented formulation overcomes former limitations associated with the need for predefined reference trajectories.
Simon Gottschalk
wiley   +1 more source

Home - About - Disclaimer - Privacy