A generalized framework for solving dynamic optimization problems using the artificial chemical process paradigm: Applications to particulate processes and discrete dynamic systems

Chemical Engineering Science

Volumn 60, Issue 21, 2005, Pages 5663-5681

  Irizarry, Roberto ^a  

^a DUPONT COMPANY   (United States)

Author keywords

Artificial chemical process; Discrete time dynamic equations; Fermentation; Monte Carlo method; Nonlinear dynamics; Population balance; Stochastic optimization

Indexed keywords

ALGORITHMS; COALESCENCE; CONSTRAINT THEORY; CRYSTALLIZATION; DISCRETE TIME CONTROL SYSTEMS; FINITE ELEMENT METHOD; INTEGRATION; MONTE CARLO METHODS; OPTIMIZATION; PROBLEM SOLVING; RANDOM PROCESSES;

CONTROL FUNCTIONS; EQUATION-FREE MODELS; STOCHASTIC OPTIMIZATION ALGORITHMS; VARIABLE-LENGTH SEGMENTS;

OPTIMAL CONTROL SYSTEMS;

CHEMICAL ENGINEERING;

EID: 22244470701     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2005.05.028     Document Type: Article

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