Now showing items 1-10 of 3633
Optimizing model predictive control of an industrial distillation column
(PERGAMON-ELSEVIER SCIENCE LTD, 2011)
The main scope of this work is the implementation of an MPC that integrates the control and the economic optimization of the system. The two problems are solved simultaneously through the modification of the control cost ...
New optimality conditions for nonsmooth control problems
This work considers nonsmooth optimal control problems and provides two new sufficient conditions of optimality. The first condition involves the Lagrange multipliers while the second does not. We show that under the first ...
KT-invexity in optimal control problems
(Pergamon-Elsevier B.V. Ltd, 2009-11-15)
We extend the notion of KT-invexity from mathematical programming to the classical optimal control problem and show that this generalized invexity property is not only a sufficient condition of optimality for KT-processes ...
A New Dual Modifier-Adaptation Approach for Iterative Process Optimization with Inaccurate Models
In order to deal with plant-model mismatch, iterative process optimization schemes use some adaptation strategy based on measurements. The modifier-adaptation approach consists in performing first-order corrections of the ...
A note on the sufficiency of the maximum principle for infinite horizon optimal control problems
This work is devoted to introduce a new sufficient optimality condition for infinite horizon optimal control problems. It is shown that normal extremal processes are optimal under this new condition, termed as maximum-pr ...
Distributed Solution of Simulation-Based Optimization Problems on Networks of Workstation
(Computación y Sistemas, 2009)
AVERAGE CONTINUOUS CONTROL OF PIECEWISE DETERMINISTIC MARKOV PROCESSES
(SIAM PUBLICATIONS, 2010)
This paper deals with the long run average continuous control problem of piecewise deterministic Markov processes (PDMPs) taking values in a general Borel space and with compact action space depending on the state variable. ...
Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical absorption with amines
This paper focuses on the optimization of the specific total annual cost (operating costs and investments) of a post-combustion CO2 capture plant with chemical absorption and on the sensitivity analyses of all of the model ...
Probability-Based Design of Experiments for Batch Process Optimization with End-Point Specifications
(American Chemical Society, 2016-01)
Consistently complying with end-point specifications, mainly end-use product properties, is a key issue to thecompetitiveness of batch processes. To maximize in some way the probability of observing successful runs, a ...
Neural approach for solving several types of optimization problems
Neural networks consist of highly interconnected and parallel nonlinear processing elements that are shown to be extremely effective in computation. This paper presents an architecture of recurrent neural net-works that ...