scispace - formally typeset
Journal ArticleDOI

Dynamic Optimization in a Discontinuous World

Reads0
Chats0
TLDR
This paper discusses three classes of dynamic optimization problems with discontinuities: path-constrained problems, hybrid discrete/continuous problems, and mixed-integer dynamic optimize problems.
Abstract
Many engineering tasks can be formulated as dynamic optimization or open-loop optimal control problems, where we search a priori for the input profiles to a dynamic system that optimize a given performance measure over a certain time period. Further, many systems of interest in the chemical processing industries experience significant discontinuities during transients of interest in process design and operation. This paper discusses three classes of dynamic optimization problems with discontinuities:  path-constrained problems, hybrid discrete/continuous problems, and mixed-integer dynamic optimization problems. In particular, progress toward a general numerical technology for the solution of large-scale discontinuous dynamic optimization problems is discussed.

read more

Citations
More filters
Journal ArticleDOI

Retrospective on optimization

TL;DR: A general classification of mathematical optimization problems is provided, followed by a matrix of applications that shows the areas in which these problems have been typically applied in process systems engineering.
Journal ArticleDOI

An overview of simultaneous strategies for dynamic optimization

TL;DR: This study provides background information, summarizes the underlying concepts and properties of this approach, discusses recent advances in the treatment of discrete decisions and illustrates the approach with two process case studies.
Journal ArticleDOI

Advances in simultaneous strategies for dynamic process optimization

TL;DR: An improved algorithm for simultaneous strategies for dynamic optimization based on interior point methods is developed and a reliable and efficient algorithm to adjust elements to track optimal control profile breakpoints and to ensure accurate state and control profiles is developed.
Journal ArticleDOI

Simultaneous dynamic optimization strategies: Recent advances and challenges

TL;DR: Comparing the properties of solutions generated by simultaneous approaches to those of classical variational methods, for a variety of problem classes, shows why simultaneous strategies are especially beneficial for dynamic systems with unstable modes, with path constraints and for large-scale, structured problems.
Journal ArticleDOI

Advanced control of crystallization processes

TL;DR: An overview of recent developments in the control of crystallization processes, including activities in sensor technologies, model identification, experimental design, process simulation, robustness analysis, and optimal control are provided.
References
More filters
Journal ArticleDOI

The consistent intialization of differential-algebraic systems

TL;DR: In this article, the initial values for Variables in mixed Differential-Algebraic (DAE) systems must satisfy not only the original equations in the system but also their differentials with respect to time.
Journal ArticleDOI

Differential/Algebraic Equations are not ODE's

TL;DR: A number of difficulties which can arise when numerical methods are used to solve systems of differential/algebraic equations of the form ${\bf F(t, t, y, y') = {\bf 0}$.
Journal ArticleDOI

Modeling of combined discrete/continuous processes

TL;DR: Important contributions include a powerful representation for discontinuities in physical behavior, and the first detailed consideration of how complex sequences of control actions may be modeled in a general manner.
Journal ArticleDOI

Algorithm 733: TOMP–Fortran modules for optimal control calculations

TL;DR: An easy-to-use software package is described which efficiently solves the given problem and has been tested on a number of complex engineering tasks, including aerospace and robotic trajectory planning.
Journal ArticleDOI

Index reduction in differential-algebraic equations using dummy derivatives

TL;DR: A new index reduction algorithm for DAEs is developed that yields results with an accuracy comparable to that obtained for the corresponding state-space ODE.
Related Papers (5)