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Robust nonlinear control design of distributed process systems with input constraints


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Restricted second order information for the solution of optimal control problems using control vector parameterization


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Optimal sensor location and reduced order observer design for distributed process systems


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From irreversible thermodynamics to a robust control theory for distributed process systems


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Computation of optimal identification experiments for nonlinear dynamic process models: a stochastic global optimization approach


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A COMBINED ELECTROMAGNETIC AND HEAT TRANSFER MODEL FOR HEATING OF FOODS IN MICROWAVE COMBINATION OVENS


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Parameter estimation in biochemical pathways: A comparison of global optimization methods


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Integrated Nonlinear Optimization of Bioprocesses via Linear Programming


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Improving food processing using modern optimization methods


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Global optimization of climate control problems using evolutionary and stochastic algorithms


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Global optimization of bioprocesses using stochastic and hybrid methods


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Dynamic optimization of double-sided cooking of meat patties


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Solving nonconvex climate control problems: Pitfalls and algorithm performances


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Reduced-order models for nonlinear distributed process systems and their application in dynamic optimization


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On systematic model reduction techniques for dynamic optimization and robust control of distributed process systems


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Multi-objective optimization for the design of bio-processes


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Energy and society


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Dynamic optimization of distributed parameter systems using second-order directional derivatives


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Dissipative systems: From physics to robust nonlinear control


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Chapter D4 Multi-objective integrated design and control using stochastic global optimization methods


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A model-based approach to develop periodic thermal treatments for surface decontamination of strawberries


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State reconstruction in spatially distributed BioProcess systems using reduced order models: Application to the gluconic acid production


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Robust parameter estimation in nonlinear dynamic process models


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Global optimization for integrated design and control of computationally expensive process models


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Dynamic optimization of single- and multi-stage systems using a hybrid Stochastic-deterministic method


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Dynamic optimization of complex distributed process systems


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Dynamic optimization of bioprocesses: Efficient and robust numerical strategies


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An efficient real-time dynamic optimization architecture for the control of non-isothermal tubular reactors


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A systematic approach to plant-wide control based on thermodynamics


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A software toolbox for the dynamic optimization of nonlinear processes


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A hybrid approach for efficient and robust parameter estimation in biochemical pathways


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Stabilization of inhomogeneous patterns in a diffusion-reaction system under structural and parametric uncertainties


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Robust parameter estimation in a model for glucose kinetics in type 1 diabetes subjects


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Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems


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Model based optimization of biochemical systems using multiple objectives: A comparison of several solution strategies


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Improved optimization methods for the multiobjective design of bioprocesses


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Dynamic optimization of a simulated moving bed (SMB) chromatographic separation process


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Computing optimal operating policies for the food industry


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A thermodynamic based plant-wide control design procedure of the tennessee eastman process


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Welcome and introduction


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Scatter search for chemical and bio-process optimization


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Robust feed-back control of distributed chemical reaction systems


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Power-law models of signal transduction pathways


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Optimal field reconstruction of distributed process systems from partial measurements


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Optimal dynamic experimental design in systems biology: Applications in cell signaling


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Optimal design of dynamic experiments for improved estimation of kinetic parameters of thermal degradation


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Optimal control of the Simulated Moving Bed (SMB) chromatographic separation process


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Network theory in control engineering: Applications in dynamic analysis and process control,La teoría de redes en ingeniería de control: Aplicación al análisis dinámico y al control de procesos


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NBI-RPRGM for multi-objective optimization design of bio-processes


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Identifiability and robust parameter estimation in food process modeling: Application to a drying model


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The GLOBAL optimization method revisited


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TECHNOLOGY AND SOCIETY


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Robust feed-back control of travelling waves in a class of reaction-diffusion distributed biological systems


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Quality and safety models and optimization as part of computer-integrated manufacturing


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Parameter estimation and optimal experimental design


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Optimization in computational systems biology


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Optimal dynamic heat generation profiles for simultaneous estimation of thermal food properties using a hotwire probe: Computation, implementation and validation


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Optimal tuning of thermodynamic-based decentralized PI control loops: Application to the tennessee eastman process


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Hybrid optimization method with general switching strategy for parameter estimation


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Hierarchical design of decentralized control structures for the Tennessee Eastman Process


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Exponential observers for distributed tubular (bio)rteactors


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Development of a library of components in ecosimpro for the operation of thermal processing plants,Desarrollo de una librería de componentes en ecosimpro para la operación de plantas de procesamiento térmico de alimentos


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Computing optimal dynamic experiments for model calibration in predictive microbiology


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Computational procedures for optimal experimental design in biological systems


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A Tabu search-based algorithm for mixed-integer nonlinear problems and its application to integrated process and control system design


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A Library of Software Components for the Operation of Thermal Food Processing Plants


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Multi-objective optimization of biological networks for prediction of intracellular fluxes


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Improved scatter search for the global optimization of computationally expensive dynamic models


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Global sensitivity analysis of a biochemical pathway model


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Extensions of a multistart clustering algorithm for constrained global optimization problems


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Extended ant colony optimization for non-convex mixed integer nonlinear programming


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Exploring Multiplicity Conditions in Enzymatic Reaction Networks


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Dynamic optimization of nonlinear processes with an enhanced scatter search method


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DOTcvpSB, a software toolbox for dynamic optimization in systems biology


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An extended ant colony optimization algorithm for integrated process and control system design


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SensSB: a software toolbox for the development and sensitivity analysis of systems biology models


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Parametric condition for multistationarity in biochemical reaction networks


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Multi-objective mixed integer strategy for the optimisation of biological networks


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Investigating dynamics of inhibitory and feedback loops in ERK signalling using power-law models


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Efficient and robust multi-objective optimization of food processing: A novel approach with application to thermal sterilization


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Computational Procedures for Model Identification


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An iterative identification procedure for dynamic modeling of biochemical networks


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An evolutionary method for complex-process optimization


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AMIGO: A model identification toolbox based on global optimization and its applications in biosystems


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A generalized Fisher equation and its utility in chemical kinetics


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Use of a generalized fisher equation for global optimization in chemical kinetics


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Structural identifiability of systems biology models: A critical comparison of methods


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Process Systems Engineering


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Prediction of activation of metabolic pathways via dynamic optimization


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Methods for checking structural identifiability of nonlinear biosystems: A critical comparison


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Inference of transcriptional control design of metabolic networks


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Inference of complex biological networks: Distinguishability issues and optimization-based solutions


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GenSSI: A software toolbox for structural identifiability analysis of biological models


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Fuzzy finite element analysis of heat conduction problems with uncertain parameters


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Detailed kinetic model describing new oligosaccharides synthesis using different β-galactosidases


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AMIGO, a toolbox for advanced model identification in systems biology using global optimization


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9th IFAC International Symposium on Dynamics and Control of Process Systems (DYCOPS) & 11th IFAC International Symposium on Computer Applications in Biotechnology (CAB): Leuven, Belgium, July 5-7, 2010 and July 7-9, 2010


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Robust and efficient numerical methods for the optimal control of spatially distributed biological systems


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Novel global sensitivity analysis methodology accounting for the crucial role of the distribution of input parameters: Application to systems biology models


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Multi-criteria optimization of regulation in metabolic networks


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