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Sufficient Optimality Conditions for Optimal Control Problems with State Constraints
(2019-06-11)
It is well-known in optimal control theory that the maximum principle, in general, furnishes only necessary optimality conditions for an admissible process to be an optimal one. It is also well-known that if a process ...
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
(2012-11-08)
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 ...
A note on the sufficiency of the maximum principle for infinite horizon optimal control problems
(2018-07-01)
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 ...
An improved tabu-based vector optimal algorithm for design optimizations of electromagnetic devices
(Institute of Electrical and Electronics Engineers (IEEE), 2004-03-01)
This paper introduces an improved tabu-based vector optimal algorithm for multiobjective optimal designs of electromagnetic devices. The improvements include a division of the entire search process, a new method for fitness ...
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
(Elsevier, 2015-12)
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
(Springer, 2006-03-01)
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 ...