A5037278011- Advanced Control Systems Optimization
- Process Optimization and Integration
- Advanced Optimization Algorithms Research
- Numerical methods for differential equations
- Numerical Methods and Algorithms
- Modeling and Simulation Systems
- Microbial Metabolic Engineering and Bioproduction
- Reservoir Engineering and Simulation Methods
- Phase Equilibria and Thermodynamics
- Optimization and Variational Analysis
- Crystallization and Solubility Studies
- Fault Detection and Control Systems
- Innovative Microfluidic and Catalytic Techniques Innovation
- Fuel Cells and Related Materials
- Field-Flow Fractionation Techniques
- Optimization and Mathematical Programming
- Gene Regulatory Network Analysis
- Matrix Theory and Algorithms
- Simulation Techniques and Applications
- Control Systems and Identification
- Formal Methods in Verification
- Probabilistic and Robust Engineering Design
- Carbon Dioxide Capture Technologies
- Model Reduction and Neural Networks
- Biofuel production and bioconversion
Massachusetts Institute of Technology
2015-2024
IIT@MIT
2005-2015
École Polytechnique Fédérale de Lausanne
2006-2007
ExxonMobil (United States)
2006
Imperial College London
1993-1994
Pennsylvania State University
1962-1992
University of Delaware
1987
DuPont (United States)
1980
Ono Pharmaceutical (United States)
1962
Linde (United States)
1962
A series of tubes: The continuous manufacture a finished drug product starting from chemical intermediates is reported. pilot-scale plant used novel route that incorporated many advantages continuous-flow processes to produce active pharmaceutical ingredients and the in one integrated system. As service our authors readers, this journal provides supporting information supplied by authors. Such materials are peer reviewed may be re-organized for online delivery, but not copy-edited or...
The capital, operating, and overall costs of a dedicated continuous manufacturing process to synthesize an active pharmaceutical ingredient (API) formulate it into tablets are estimated for production scale 2000 t per year, with raw material cost, yield, API loading varied over broad ranges. Costs compared batch in facility. Synthesis begins key organic intermediate three synthetic steps before the final API; results given (KI) $100 $3000/kg, drug loadings tablet 10 50 wt %. novel described...
Abstract The dynamic behavior of processing systems exhibits both continuous and significant discrete aspects. Process simulation is therefore a combined discrete/continuous problem. In addition, there critical need for declarative process modeling environment to encompass the entire range system operation, from purely batch. These issues are addressed by this article. A new formal mathematical description problem introduced enhance understanding fundamental changes required model systems....
Theory and implementation for the global optimization of a wide class algorithms is presented via convex/affine relaxations. The basis proposed relaxations systematic construction subgradients convex factorable functions by McCormick [Math. Prog., 10 (1976), pp. 147–175]. Similar to relaxation, subgradient propagation relies on recursive application few rules, namely, calculation addition, multiplication, composition operations. Subgradients at interior points can be calculated any function...
Dynamic Flux Balance Analysis (DFBA) is a dynamic simulation framework for biochemical processes. DFBA can be performed using different approaches such as static optimization (SOA), (DOA), and direct (DA). Few existing simulators address the theoretical practical challenges of nonunique exchange fluxes or infeasible linear programs (LPs). Both are common sources failure inefficiencies these simulators.DFBAlab, MATLAB-based simulator that uses LP feasibility problem to obtain an extended...
Dynamic flux balance analysis (DFBA) provides a platform for detailed design, control and optimization of biochemical process technologies. It is promising modeling framework that combines genome-scale metabolic network with dynamic simulation the extracellular environment. assumes intracellular species concentrations are in equilibrium The resulting underdetermined stoichiometric model solved under assumption objective such as growth rate maximization. metabolism coupled mass equations...
The pharmaceutical industry has historically benefited from high profit margins for their products, and over the years limited efforts have been made to change main manufacturing concept batch into continuous. However, past decade, as a result of an increased demand more efficient cost-effective processes, interest grown in application continuous address economical technical issues field. This option is becoming viable, particularly with implementation new process analytical technology...
Stochastic programming with recourse usually assumes uncertainty to be exogenous. Our work presents modelling and application of decision-dependent in mathematical including a taxonomy stochastic models uncertainty. The includes several ways incorporating direct or indirect manipulation underlying probability distributions through decision variables two-stage problems. Two-stage are formulated where prior probabilities distorted an affine transformation combined using convex combination...
Hybrid (discrete/continuous) systems exhibit both discrete state and continuous dynamics which interact to such a significant extent that they cannot be decoupled must analyzed simultaneously. We present an overview of the work has been done in modeling, simulation, sensitivity analysis, optimization hybrid systems, paying particular attention interaction between dynamics. A concise intuitive framework for system modeling is presented, together with discussions on robust event location,...
An efficient discontinuity handling algorithm for initial value problems in differential-algebraic equations is presented. The supports flexible representation of state conditions propositional logic, and guarantees the location all events strict time order. consists two phases:(1) event detection and(2) consistent location. In phase, entire integration step searched by solving interpolation polynomials functions generated BDF method. hierarchical polynomial root-finding procedure based upon...
An overview of global methods for dynamic optimization and mixed-integer (MIDO) is presented, with emphasis placed on the control parametrization approach. These consist extending existing continuous algorithms to encompass solution problems ODEs embedded. A prerequisite so doing a convexity theory as well ability build valid convex relaxations Bolza-type functionals. For solving globally, our focus use branch-and-bound algorithms; other hand, MIDO are handled by adapting outer-approximation...
Abstract Product quality and uncertainty are two important issues in the design operation of natural gas production networks. This paper presents a stochastic pooling problem optimization formulation to address these issues, where qualities flows system described with model is handled multi‐scenario, two‐stage recourse approach. In addition, multi‐objective problems via hierarchical The advantages proposed demonstrated case studies involving an example based on Haverly's real industrial...