Online non-linear centroidal mpc for humanoid robot locomotion with step adjustment
This paper presents a Non-Linear Model Predictive Controller for humanoid robot
locomotion with online step adjustment capabilities. The proposed controller considers the …
locomotion with online step adjustment capabilities. The proposed controller considers the …
[图书][B] Evaluation Complexity of Algorithms for Nonconvex Optimization: Theory, Computation and Perspectives
Do you know the difference between an optimist and a pessimist? The former believes we
live in the best possible world, and the latter is afraid that the former might be right.… In that …
live in the best possible world, and the latter is afraid that the former might be right.… In that …
An optimization model for planning testing and control strategies to limit the spread of a pandemic–The case of COVID-19
The global health crisis caused by the coronavirus SARS-CoV-2 has highlighted the
importance of efficient disease detection and control strategies for minimizing the number of …
importance of efficient disease detection and control strategies for minimizing the number of …
Level‐set topology optimization with many linear buckling constraints using an efficient and robust eigensolver
Linear buckling constraints are important in structural topology optimization for obtaining
designs that can support the required loads without failure. During the optimization process …
designs that can support the required loads without failure. During the optimization process …
Methods for convex and general quadratic programming
Computational methods are considered for finding a point that satisfies the second-order
necessary conditions for a general (possibly nonconvex) quadratic program (QP). The first …
necessary conditions for a general (possibly nonconvex) quadratic program (QP). The first …
KETCHUP: Parameterizing of large-scale kinetic models using multiple datasets with different reference states
M Hu, PF Suthers, CD Maranas - Metabolic engineering, 2024 - Elsevier
Large-scale kinetic models provide the computational means to dynamically link metabolic
reaction fluxes to metabolite concentrations and enzyme levels while also conforming to …
reaction fluxes to metabolite concentrations and enzyme levels while also conforming to …
Dynamic modelling and optimal control strategies for chemical-looping combustion in an industrial-scale packed bed reactor
M Lucio, LA Ricardez-Sandoval - Fuel, 2020 - Elsevier
The transient operation of a Chemical-looping Combustion (CLC) process in a large-scale
packed bed reactor (PBR) unit is presented in this study. This work adapts 1-D …
packed bed reactor (PBR) unit is presented in this study. This work adapts 1-D …
Exploring benefits of linear solver parallelism on modern nonlinear optimization applications
The advent of efficient interior point optimization methods has enabled the tractable solution
of large-scale linear and nonlinear programming (NLP) problems. A prominent example of …
of large-scale linear and nonlinear programming (NLP) problems. A prominent example of …
Chebyshev acceleration of iterative refinement
It is well known that the FGMRES algorithm can be used as an alternative to iterative
refinement and, in some instances, is successful in computing a backward stable solution …
refinement and, in some instances, is successful in computing a backward stable solution …
A sparse symmetric indefinite direct solver for GPU architectures
In recent years, there has been considerable interest in the potential for graphics processing
units (GPUs) to speed up the performance of sparse direct linear solvers. Efforts have …
units (GPUs) to speed up the performance of sparse direct linear solvers. Efforts have …