Algorithm 902: Gpops, a matlab software for solving multiple-phase optimal control problems using the gauss pseudospectral method
AV Rao, DA Benson, C Darby, MA Patterson… - ACM Transactions on …, 2010 - dl.acm.org
An algorithm is described to solve multiple-phase optimal control problems using a recently
developed numerical method called the Gauss pseudospectral method. The algorithm is …
developed numerical method called the Gauss pseudospectral method. The algorithm is …
[图书][B] Numerical data fitting in dynamical systems: a practical introduction with applications and software
K Schittkowski - 2002 - books.google.com
Real life phenomena in engineering, natural, or medical sciences are often described by a
mathematical model with the goal to analyze numerically the behaviour of the system …
mathematical model with the goal to analyze numerically the behaviour of the system …
Dynamic optimization using adaptive control vector parameterization
M Schlegel, K Stockmann, T Binder… - Computers & Chemical …, 2005 - Elsevier
In this paper we present a method for the optimization of dynamic systems using problem-
adapted discretizations. The method is based on the direct sequential or single-shooting …
adapted discretizations. The method is based on the direct sequential or single-shooting …
Scalable inference of ordinary differential equation models of biochemical processes
Ordinary differential equation models have become a standard tool for the mechanistic
description of biochemical processes. If parameters are inferred from experimental data …
description of biochemical processes. If parameters are inferred from experimental data …
[PDF][PDF] Propt-matlab optimal control software
PE Rutquist, MM Edvall - Tomlab Optimization Inc, 2010 - academia.edu
PROPT - Matlab Optimal Control Software Page 1 PROPT - Matlab Optimal Control Software -
ONE OF A KIND, LIGHTNING FAST SOLUTIONS TO YOUR OPTIMAL CONTROL PROBLEMS …
ONE OF A KIND, LIGHTNING FAST SOLUTIONS TO YOUR OPTIMAL CONTROL PROBLEMS …
A multi-scale study of industrial fermentation processes and their optimization
S Zhang, J Chu, Y Zhuang - Biomanufacturing, 2004 - Springer
In this article problems in multi-scale industrial fermentation processes are discussed. The
problems are generated virtually, by using computer simulation on three different scales–the …
problems are generated virtually, by using computer simulation on three different scales–the …
Modeling and monitoring of batch processes using principal component analysis (PCA) assisted generalized regression neural networks (GRNN)
SG Kulkarni, AK Chaudhary, S Nandi, SS Tambe… - Biochemical …, 2004 - Elsevier
Multivariate statistical methods namely, principal component analysis (PCA) and partial least
squares (PLS), which perform dimensionality reduction and regression, respectively, are …
squares (PLS), which perform dimensionality reduction and regression, respectively, are …
Island-based crow search algorithm for solving optimal control problems
Abstract Crow Search Algorithm (CROW) is one of the members of recently developed
swarm-based metaheuristic algorithms. Literature includes different applications of this …
swarm-based metaheuristic algorithms. Literature includes different applications of this …
Optimal experiment design for dynamic bioprocesses: a multi-objective approach
Dynamic process models can be used for operating, controlling and optimising important
bioprocesses, eg, pharmaceuticals production, enzyme production and brewing. After …
bioprocesses, eg, pharmaceuticals production, enzyme production and brewing. After …
Monte Carlo simulations for the analysis of non-linear parameter confidence intervals in optimal experimental design
Especially in biomanufacturing, methods to design optimal experiments are a valuable
technique to fully exploit the potential of the emerging technical possibilities that are driving …
technique to fully exploit the potential of the emerging technical possibilities that are driving …