Modelling and Control in Biomedical Systems (including Biological Systems) was held in Reims, France, 20-22 August 2006. This Symposium was organised by the University of Reims Champagne Ardenne and the Société de l’Electricité, de l’Electronique et des TIC (SEE). The Symposium attracted practitioners in engineering, information technology, mathematics, medicine and biology, and other related disciplines, with authors from 24 countries. Besides the abstracts of the four plenary lectures, this volume contains the 92 papers that were presented by their authors at the Symposium. The papers included two invited keynote presentations given by internationally prominent and well-recognised research leaders: Claudio Cobelli, whose talk is titled "Dynamic modelling in diabetes: from whole body to genes"; and Irving J. Bigio, whose talk is titled "Elastic scattering spectroscopy for non-invasive detection of cancer". Two prestigious industrial speakers were also invited to give keynote presentations: Terry O'Brien from LIDCO, whose talk is titled "LIDCO: From the laboratory to protocolized goal directed therapy"; and Lorenzo Quinzio of Philips, whose talk is titled "Clinical decision support in monitoring and information systems". A valuable source of information on the state-of- the-art in Modelling and Control in Biomedical Systems Including abstracts of four plenary lectures, and 92 papers presented by their authors

Shows the newest developments in the field of multi-parametric model predictive control and optimization and their application for drug delivery systems This book is based on the Modelling, Control and Optimization of Biomedical Systems (MOBILE) project, which was created to derive intelligent computer model-based systems for optimization of biomedical drug delivery systems in the cases of diabetes, anaesthesia, and blood cancer. These systems can ensure reliable and fast calculation of the optimal drug dosage without the need for an online computer—while taking into account the specifics and constraints of the patient model, flexibility to adapt to changing patient characteristics and incorporation of the physician’s performance criteria, and maintaining the safety of the patients. Modelling Optimization and Control of Biomedical Systems covers: mathematical modelling of drug delivery systems; model analysis, parameter estimation, and approximation; optimization and control; sensitivity analysis & model reduction; multi-parametric programming and model predictive control; estimation techniques; physiologically-based patient model; control design for volatile anaesthesia; multiparametric model based approach to intravenous anaesthesia; hybrid model predictive control strategies; Type I Diabetes Mellitus; in vitro and in silico block of the integrated platform for the study of leukaemia; chemotherapy treatment as a process systems application; and more. Introduces readers to the Modelling, Control and Optimization of Biomedical Systems (MOBILE) project Presents in detail the theoretical background, computational tools, and methods that are used in all the different biomedical systems Teaches the theory for multi-parametric mixed-integer programming and explicit optimal control of volatile anaesthesia Provides an overview of the framework for modelling, optimization, and control of biomedical systems This book will appeal to students, researchers, and scientists working on the modelling, control, and optimization of biomedical systems and to those involved in cancer treatment, anaesthsia, and drug delivery systems.

This book provides the most valuable and updated research on computational and mathematical models in biological systems from influential researchers around the world and contributes to the development of future research guidelines in this topic. Topics include (but are not limited to): modeling infectious and dynamic diseases; regulation of cell function; biological pattern formation; biological networks; tumor growth and angiogenesis; complex biological systems; Monte Carlo methods; Control theory, optimization and their applications

Hardbound. This volume provides a complete and up-to-date review of the recent developments and trends relating to modelling and control in biomedical systems in research, diagnosis and therapy. Focus is placed on methodological issues relevant to modelling and control as well as to the various physiological systems of the organism visited from a control viewpoint. Contains 98 papers.

Hardbound. This meeting provided a forum for the exchange of ideas and information on modelling and control of national economies among scientists, economists and engineers from around the world. The proceedings are separated into three parts. Part I, Modelling and Control, is concerned with macro-economic models, growth models, input-output models, state-space models and evaluation models, adaptive control, optimal control, coordinated decentralized control and predictive control policies and evaluation methods. Part II, Games, Forecasting and Optimization, includes papers related to nonconvex games, multiobjective decision-making, macro-economic forecasting models and methods, multilevel and hierarchical optimization. Part III, Intelligent Management Systems, reflects the new progress of artificial intelligence in management and economies, such as IMS-intelligent management systems design, implementation and applications, intelligen

Presented at this workshop were mathematical models upon which process control is based and the practical applications of this method of control within industry; case studies include examples from the paper and pulp industry, materials industry and the chemical industry, among others. From these presentations emerged a need for further research and development into process control. Containing 19 papers these Proceedings will be a valuable reference work for all those involved in the designing of continuous production processes for industry and for the end user involved in the practical application of process control within their manufacturing process.

Environmental issues is one of the significantly important subjects to be solved on a global scale for attaining sustainable developments in the new century. A major feature of environmental issues is that studies on environments are interdisciplinary and should deal with complex and heterogeneous systems, which include chemical, physical and biological phenomena and further socio-economical activities and technology developments for energy saving and CO 2 emission reduction. The workshop provided the forum for presentation of new developments in the important interdisciplinary field of environmental systems involving the application of concepts, methods and techniques of modeling and control. The aim was to review state-of-the-art systems and control approaches, exchange new results in interdisciplinary fields and look at feasible developments to the future. The scope of this workshop covered various aspects of systems and control approaches to environmental issues: Environmental assessment; Systems approaches to environmental management and strategies; Modeling of global warming and impact analysis on socio-structure; Modeling of ecological systems; Control and optimization of environmental quantities; System reform and integration for environments; Advanced control technology for reduction of energy consumption and CO 2 emission; Cogeneration systems; Control systems approaches to clean energy; Fuel cells and their applications; Systems Integration technologies in urban planning; Systems modeling and data analysis in life cycle assessment; Manufacturing in symbiosis with environments; Modeling and control of waste incineration plant; Water quality control and waste water management; Other related topics.