Imperial College London
Alternate

ProfessorStratosPistikopoulos

Faculty of Engineering, Department of Chemical Engineering

Visiting Professor
 
 
 
//

Contact

 

+44 (0)20 7594 6620e.pistikopoulos

 
 
//

Location

 

C508Roderic Hill BuildingSouth Kensington Campus

//

Summary

 

Publications

Publication Type
Year
to

461 results found

Lambert RSC, Rivotti P, Pistikopoulos EN, 2011, A novel approximation technique for online and multi-parametric model predictive control, Computer Aided Chemical Engineering, Vol: 29, Pages: 738-742, ISSN: 1570-7946

Multi-parametric model predictive control has been widely recognized in the control literature. The objective of explicit MPC is to solve the constrained optimal control problem and derive the control variables as explicit functions of the states. Explicit MPC is particularly relevant for systems in which classical real time MPC implementation is impractical; In effect, the computations to derive the optimal control moves are performed offline. A framework for the development of such multiparametric/explicit controllers has been presented in [1]. The framework emphasizes the need for model approximation as a key challenge for a wider use of multiparametric/explicit MPC. We propose an approach that uses an interpolation method employed in a receding horizon fashion as a transient system identification technique to derive linear explicit algebraic expressions of the dynamics of the system under the form of linear expressions in the state parameter and controls. A major advantage of the approach is the availability of an a priori global error bound for the model mismatch due to the approximation. Linear dependency on the state parameters and controls enables to recast nonlinear and non convex MPC problems, into mp-QP optimization problems. The approach is demonstrated on a nonlinear benchmark model example of a 30 stages distillation column. © 2011 Elsevier B.V.

Journal article

Voelker A, Kouramas K, Panos C, Pistikopoulos ENet al., 2011, Disturbance Estimation via Moving Horizon Estimation for In-flight Model-based Wind Estimation, Computer Aided Chemical Engineering, Vol: 29, Pages: 577-581, ISSN: 1570-7946

Disturbance estimation is an important topic in many applications. We investigate the linear Kalman filter and the linear moving horizon estimator for disturbance estimation, specifically for the case of in-flight model-based wind estimation. We consider different scenarios of available measurements. © 2011 Elsevier B.V.

Journal article

Ziogou C, Panos C, Kouramas KI, Papadopoulou S, Georgiadis MC, Voutetakis S, Pistikopoulos ENet al., 2011, Multi-Parametric Model Predictive Control of an Automated Integrated Fuel Cell Testing Unit, Computer Aided Chemical Engineering, Vol: 29, Pages: 743-747, ISSN: 1570-7946

The aim of this work is to present a framework for the design of a constrained multiparametric Model Predictive Control (mp-MPC) strategy for a fully automated integrated Hydrogen Fuel Cell Testing Unit (HFCTU) at CERTH. The underlying process is described by an experimentally validated dynamic model which provided the basis for the control framework. This model was used to derive reduced order state space models based on which an explicit/multi-parametric MPC controller was designed in order to satisfy the load demand, avoid starvation and maintain the temperature at a nominal point. The derived controller was tested offline on several operating conditions and showed an excellent transient and steady-state performance. © 2011 Elsevier B.V.

Journal article

Wittmann-Hohlbein M, Pistikopoulos EN, 2011, A robust optimization based approach to the general solution of mp-MILP problems, Computer Aided Chemical Engineering, Vol: 29, Pages: 527-531, ISSN: 1570-7946

In this work, we focus on the approximate solution of multi-parametric mixed integer linear programming (mp-MILP) problems involving objective function (OFC), left-hand side (LHS) and right-hand side (RHS) uncertainty. A two-step algorithmic procedure is proposed. In the first step a partial immunization against the uncertainty is performed leading to a robust RIM-mp-MILP problem, whereas in the second step explicit optimal solutions of the robust model are derived by applying a decomposition algorithm. Computational studies are presented, demonstrating that (i) the robust RIM-mp-MILP counterpart is less conservative than the conventional robust MILP model, and (ii) the combined robust/multi-parametric procedure is computationally efficient, providing a tight upper bound to the overall global solution of the general mp-MILP problem. © 2011 Elsevier B.V.

Journal article

Khajuria H, Pistikopoulos EN, 2011, Dynamic modeling and explicit/multi-parametric MPC control of pressure swing adsorption systems, JOURNAL OF PROCESS CONTROL, Vol: 21, Pages: 151-163, ISSN: 0959-1524

Journal article

Wittmann-Hohlbein M, Pistikopoulos EN, 2011, A robust optimization based approach to the general solution of mp-MILP problems, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 527-531, ISSN: 1570-7946

Conference paper

Koutinas M, Kiparissides A, de Lorenzo V, Martins dos Santos VAP, Pistikopoulos EN, Mantalaris Aet al., 2011, Predicting microbial growth kinetics with the use of genetic circuit models, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 1321-1325, ISSN: 1570-7946

Conference paper

Kouramas K, Varbanov PS, Georgiadis MC, Klemes JJ, Pistikopoulos ENet al., 2011, Explicit/Multi-Parametric Model Predictive Control of a Solid Oxide Fuel Cell, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 773-777, ISSN: 1570-7946

Conference paper

Liu P, Whitaker A, Pistikopoulos EN, Li Z, Chen Yet al., 2011, A Mixed-Integer Programming Approach to Infrastructure Planning for Chemical Centres: A Case Study in the UK, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 1668-1672, ISSN: 1570-7946

Conference paper

Lambert RSC, Rivotti P, Pistikopoulos EN, 2011, A novel approximation technique for online and multi-parametric model predictive control, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 738-742, ISSN: 1570-7946

Conference paper

Khajuria H, Pistikopoulos EN, 2011, Integrated Design and Control of Pressure Swing Adsorption Systems, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 628-632, ISSN: 1570-7946

Conference paper

Mansoornejad B, Pistikopoulos EN, Stuart P, 2011, INCORPORATING FLEXIBILITY DESIGN INTO SUPPLY CHAIN DESIGN FOR FOREST BIOREFINERY, J-FOR-JOURNAL OF SCIENCE & TECHNOLOGY FOR FOREST PRODUCTS AND PROCESSES, Vol: 1, Pages: 54-66, ISSN: 1927-6311

Journal article

Zavitsanou S, Panoskaltsi N, Mantalaris A, Georgiadis MC, Pistikopoulos ENet al., 2011, Modelling of the Insulin Delivery System for patients with Type 1 Diabetes Mellitus, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 1500-1504, ISSN: 1570-7946

Conference paper

Mansoornejad B, Pistikopoulos EN, Stuart P, 2011, Scenario-Based Strategic Supply Chain Design and Analysis for the Forest Biorefinery, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 1025-1029, ISSN: 1570-7946

Conference paper

Ziogou C, Panos C, Kouramas KI, Papadopoulou S, Georgiadis MC, Voutetakis S, Pistikopoulos ENet al., 2011, Multi-Parametric Model Predictive Control of an Automated Integrated Fuel Cell Testing Unit, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 743-747, ISSN: 1570-7946

Conference paper

Krieger A, Panoskaltsis N, Mantalaris A, Georgiadis MC, Pistikopoulos ENet al., 2011, A Novel Physiologically Based Compartmental Model for Volatile Anaesthesia, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 1495-1499, ISSN: 1570-7946

Conference paper

Kiparissides A, Koutinas M, Kontoravdi C, Mantalaris A, Pistikopoulos ENet al., 2011, Closing the loop in biological systems modelling - From the in Silico to the in Vitro, AUTOMATICA Special Issue on Systems Biology, Vol: 47, Pages: 1147-1155

This work presents a holistic ‘closed loop’ approach for the development of models of biological systems. The ever increasing availability of experimental information necessitates the advancement of a systematic methodology to organise and utilise these data. Herein, we present a biological model building framework that maps the treatment of the formation from the initial conception of the model, through its experimental validation and finally to its application in model-basedoptimisation studies. We highlight and discuss current issues associated with the development of mathematical models of biological systems and share our perspective towards a holistic ‘closed loop’ approach that will facilitate the control of the in vitro through the in silico.

Journal article

Rivotti P, Lambert RSC, Dominguez L, Pistikopoulos ENet al., 2011, Combined nonlinear model reduction and multiparametric nonlinear programming for nonlinear model predictive control, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 617-621, ISSN: 1570-7946

Conference paper

Voelker A, Kouramas K, Panos C, Pistikopoulos ENet al., 2011, Disturbance Estimation via Moving Horizon Estimation for In-flight Model-based Wind Estimation, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 577-581, ISSN: 1570-7946

Conference paper

Kiparissides A, Pistikopoulos EN, Mantalaris A, 2011, On the model based optimization of secreting mammalian cell cultures via minimal glucose provision, 21st European Symposium on Computer Aided Process Engineering (ESCAPE-21), Publisher: ELSEVIER SCIENCE BV, Pages: 1210-1214, ISSN: 1570-7946

Conference paper

Dominguez LF, Pistikopoulos EN, 2010, Multiparametric programming based algorithms for pure integer and mixed-integer bilevel programming problems, COMPUTERS & CHEMICAL ENGINEERING, Vol: 34, Pages: 2097-2106, ISSN: 0098-1354

Journal article

Khajuria H, Pistikopoulos EN, 2010, An explicit/multi-parametric controller design for pressure swing adsorption system, IFAC Proceedings Volumes (IFAC-PapersOnline), Vol: 9, Pages: 206-211, ISSN: 1474-6670

Pressure swing adsorption (PSA) is a flexible, albeit complex gas separation system. Due to its inherent nonlinear nature and discontinuous operation, the design of a model based PSA controller especially with varying operating conditions, is a challenging task. This work focuses on the design of an explicit/multi-parametric model predictive controller for a PSA system. Based on a system involving four adsorbent beds separating 70 % H2, 30 % CH4 mixture into high purity hydrogen, the key controller objective is to fast track H2 purity to the set point value of 99.99 %. To perform this task, a rigorous and systematic framework is employed. First, a high fidelity PDAE based model is built to mimic the real operation and understand its dynamic behavior. The same model is also used to derive a linear approximate model by applying suitable system identification techniques. Then a model predictive control step is formulated for the reduced model where latest developments in multi-parametric programming are applied to derive a suitable explicit MPC controller. To test the performance of the designed controller and further refine the tuning parameters, closed loop simulations are performed where the PDAE model developed in earlier step act as virtual plant. Comparisons studies of the derived explicit MPC controller are also performed with conventional PID controllers. © 2009 IFAC.

Journal article

Voelker A, Kouramas K, Pistikopoulos EN, 2010, Unconstrained Moving Horizon Estimation and simultaneous model predictive control by multi-parametric programming, IET Seminar Digest, Vol: 2010, Pages: 1154-1159

We demonstrate how unconstrained Moving Horizon Estimation (MHE) and Model Predictive Control (MPC) can be simultaneously addressed via multi-parametric programming. We show that the estimation error is bounded in an invariant set by first obtaining the error dynamics of unconstrained MHE for linear, time-invariant systems and then using set-theoretical methods to derive bounds on the estimation error. We then use the error dynamics and the error bounds for the design of a robust output feedback explicit/multi-parametric MPC resulting in a simultaneous estimation and control design which we illustrate with an example of robust tube-based output feedback MPC.

Journal article

Zhao YH, Kouramas K, Pistikopoulos EN, 2010, Dynamic modelling and parametric control for PEM fuel cell system, 19th International Congress of Chemical and Process Engineering, CHISA 2010 and 7th European Congress of Chemical Engineering, ECCE-7

The development of a parametric controller for the polymer electrolyte membrane (PEM) fuel cell system based on a dynamic model was studied. Dynamic modeling was carried out, focusing on obtaining the transient performance of the PEM fuel cell system. The parametric controller was then designed with the goal of tracking the output voltage and stack temperature set points by optimally manipulating the oxygen and hydrogen excess ratios, and cooling water flow rate based on a Model Predictive Control problem. The designed parametric controller can track the set points well, and ensures reliable performance in the presence of the current load fluctuations. It has the advantages of satisfying imposed constraints and can provide optimal inputs as explicit function of states of fuel cell stack. This is an abstract of a paper presented at the 7th European Congress of Chemical Engineering-7 and 19th International Congress of Chemical and Process Engineering CHISA 2010 (Prague, Czech Republic 8/28/2010-9/1/2010).

Journal article

Panos C, Kouramas KI, Georgiadis MC, Pistikopoulos ENet al., 2010, Dynamic optimization and robust explicit model predictive control of hydrogen storage tank, COMPUTERS & CHEMICAL ENGINEERING, Vol: 34, Pages: 1341-1347, ISSN: 0098-1354

Journal article

Kontoravdi C, Pistikopoulos EN, Mantalaris A, 2010, Systematic development of predictive mathematical models for animal cell cultures, Computers & Chemical Engineering, Vol: 34, Pages: 1192-1198

Fed-batch cultures are used in producing monoclonal antibodies industrially. Existing protocols are developed empirically. Model-based tools aiming to improve productivity are useful with model reliability and computational demand being important. Herein, a systematic framework for developing predictive models is presented comprising of model development, global sensitivity analysis, optimal experimental design for parameter estimation, and predictive capability checking. Its efficacy and validity are demonstrated using a fed-batch structured/unstructured model of antibody-secreting hybridoma cultures. Global sensitivity analysis is first used to identify sensitive model parameters (initial values estimated from batch cultures). Information-rich data from an optimally designed fed-batch experiment are then used to estimate these parameters, resulting in good agreement between simulation and experimental results. Finally, the model's predictive capability is confirmed by comparison with an independent set of fed-batch cultures. This approach systematises the process of developing predictive cell culture models at a minimum experimental cost, enabling model-based control and optimisation.

Journal article

Liu P, Pistikopoulos EN, Li Z, 2010, An energy systems engineering approach to the optimal design of energy systems in commercial buildings, ENERGY POLICY, Vol: 38, Pages: 4224-4231, ISSN: 0301-4215

Journal article

Koutinas M, Lam M-C, Kiparissides A, Silva-Rocha R, Godinho M, Livingston AG, Pistikopoulos EN, de Lorenzo V, dos Santos VAPM, Mantalaris Aet al., 2010, The regulatory logic of <i>m-</i>xylene biodegradation by <i>Pseudomonas putida</i> mt-2 exposed by dynamic modelling of the principal node <i>Ps/Pr</i> of the TOL plasmid, ENVIRONMENTAL MICROBIOLOGY, Vol: 12, Pages: 1705-1718, ISSN: 1462-2912

Journal article

Dua P, Dua V, Pistikopoulos EN, 2010, Modelling and multi-parametric control for delivery of anaesthetic agents, MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, Vol: 48, Pages: 543-553, ISSN: 0140-0118

Journal article

Liu P, Pistikopoulos EN, Li Z, 2010, Energy systems engineering: Methodologies and applications, Frontiers of Energy and Power Engineering in China, Vol: 4, Pages: 131-142, ISSN: 1673-7393

Energy systems are the major contributor to ever-increasing primary energy consumption and consequent greenhouse gas emissions. To tackle these critical problems, planning and design of energy systems needs to be improved towards a more efficient, cost-effective, and environmentally benign direction. However, although there are many technical choices available, they are often developed separately by their own technical communities and driven by their specific interest, thus methods and experience obtained in planning and design of a certain type of energy systems are usually not applicable to other types of energy systems. Energy systems engineering provides a generic methodological framework to facilitate the planning and design of energy systems and to produce integrated solutions to real-life complex energy problems via a systematic approach. In this paper, we present an overview of key methodologies of energy systems engineering, covering superstructure based modelling, mixed-integer programming, multi-objective optimization, optimization under uncertainty, and life-cycle assessment. Applications of these methodologies in polygeneration energy systems design, hydrogen infrastructure planning, and design of energy systems in commercial buildings are provided to demonstrate the capability of these methodologies. © 2010 Higher Education Press and Springer-Verlag Berlin Heidelberg.

Journal article

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://wlsprd.imperial.ac.uk:80/respub/WEB-INF/jsp/search-html.jsp Request URI: /respub/WEB-INF/jsp/search-html.jsp Query String: id=00007075&limit=30&person=true&page=5&respub-action=search.html