PUMA publications for /group/simtech/parameterWed Nov 05 15:30:21 CET 2025Journal of Children’s Orthopaedics053179–188Impact of body weight and age on plantar pressure in typically developing children: Normative data and methodological considerations192025children normalisation normative parameter weight data Pedobarography chronological body age Purpose: Pedobarography is frequently employed for the identification and characterisation of foot pathologies in paediatrics. However, the lack of standardised normalisation methods presents a challenge for cross-age comparisons. This cross-sectional study provides normative plantar pressure data for typically developing children aged 4–17 years and compares normalisations and explanatory powers of parameters measuring peak and total load. Methods: Dynamic foot pressure of 101 typically developing children aged 4–17 years was measured at self-selected speed using the mid-gait protocol. They were divided into five age groups: 4–6, 7–8, 9–11, 12–14 and 15–17 years old. Force and pressure variables measuring peak and total load were normalised by body weight or scaled by maximum value and the foot region where the peak pressure occurred was identified. Results: The absolute values demonstrated an increase in load with advancing age. In contrast, when normalised to body weight, peak pressure and pressure time integrals decreased. The scaled peak pressure showed a load shift to the forefoot. The results indicate that the normalised parameters exhibit superior qualitative significance, suggesting a more dynamic gait pattern and improved morphology of the foot in relation to body weight with increasing age. Conclusions: This study shows that standardisation of the measurement protocol is imperative because results in typically developing children can vary depending up parameter selection and normalisation technique. Level of evidence: 3Tue Jul 19 11:10:29 CEST 2022Frontiers in Physiology05Exhaustion of Skeletal Muscle Fibers Within Seconds: Incorporating Phosphate Kinetics Into a Hill-Type Model112020biomechanics analysis endurance estimation fatigue optimization dynamics parameter sensitivity time first-order Tue Dec 07 20:40:52 CET 2021Automatica0771115-1127{R}obust output-feedback controller design via local {BMI} optimization402004robust multiobjective synthesis control imng feasibility h-infinity inequalities bilinear algorithms formulas linear-systems global h-2 matrix uncertainty output-feedback optimization design parameter peerReviewed lmis structured dynamic order The problem of designing a globally optimal full-order output-feedback controller for polytopic uncertain systems is known to be a non-convex NP-hard optimization problem, that can be represented as a bilinear matrix inequality optimization problem for most design objectives. In this paper a new approach is proposed to the design of locally optimal controllers. It is iterative by nature, and starting from any initial feasible controller it performs local optimization over a suitably defined non-convex function at each iteration. The approach features the properties of computational efficiency, guaranteed convergence to a local optimum, and applicability to a very wide range of problems. Furthermore, a fast (but conservative) LMI-based procedure for computing an initially feasible controller is also presented. The complete approach is demonstrated on a model of one joint of a real-life space robotic manipulator. (C) 2004 Elsevier Ltd. All rights reserved.Tue May 18 15:30:24 CEST 2021AIChE Journaln/ae16866Modeling of biocatalytic reactions: A workflow for model calibration, selection, and validation using Bayesian statisticsn/a2019thiamine-diphosphate-dependent kinetics, Markov chain profile enzymes residual Monte Carlo, parameter estimation, analysis, likelihood, carboligation, enzyme Abstract We present a workflow for kinetic modeling of biocatalytic reactions which combines methods from Bayesian learning and uncertainty quantification for model calibration, model selection, evaluation, and model reduction in a consistent statistical framework. Our workflow is particularly tailored to sparse data settings in which a considerable variability of the parameters remains after the models have been adapted to available data, a ubiquitous problem in many real-world applications. Our workflow is exemplified on an enzyme-catalyzed two-substrate reaction mechanism describing the symmetric carboligation of 3,5-dimethoxy-benzaldehyde to (R)-3,3,5,5-tetramethoxybenzoin catalyzed by benzaldehyde lyase from Pseudomonas fluorescens. Results indicate a substrate-dependent inactivation of enzyme, which is in accordance with other recent studies.Tue May 18 15:30:24 CEST 2021IEEE Control Systems Letters2296-301Ensemble Controllability of Cellular Oscillators32018systems. Oscillators;Sociology;Statistics;Controllability;Limit-cycles;Diseases;Orbits;Systems applications;Distributed parameter dynamics;Biological biology;Emerging control systems;Cellular Thu Feb 07 21:34:03 CET 2019IEEE Control Systems Letters2296-301Ensemble Controllability of Cellular Oscillators32019law;ensemble oscillators;Parkinson's dynamics;biological curve;phase control formulation;cellular rhythms;feedback;neurophysiology;oscillations;oscillators;physiological disease;cancer;heart states;phase distribution;Fourier biology;emerging response system;regulatory behavior;oscillatory populations;phase models;healthy models;ensemble controllability;cellular Papers distributions;population-level mechanism;Oscillators;Sociology;Statistics;Controllability;Limit-cycles;Diseases;Orbits;Systems diseases;phase cancer;cellular feedback systems systems;cellular parameter biophysics;circadian applications;distributed coefficients;oscillating