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The world in which classical positivistic science and technology obtained great success has vanished. However, the way of thinking promoted by that epoch still lingers in our social consciousness, sometimes as a burden. To conquer the shortcomings of classical analytical science in the modern, ever more complex world, systems theory and its applications within systems science present an alternative to old paradigms.Systems theorists see common principles in the structure and operation of systems of all kinds and sizes. They promote an interdisciplinary science adapted for a universal applic
System theory. --- Science --- Normal science --- Philosophy of science --- Systems, Theory of --- Systems science --- Philosophy. --- Philosophy --- Theory of knowledge --- Organization theory
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#SBIB:032.AANKOOP --- #SBIB:316.21H10 --- Het functionalisme en systeemdenken in de theoretische sociologie --- Social systems. --- System theory. --- Social systems --- System theory --- Systems, Theory of --- Systems science --- Science --- Sociology --- Philosophy
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Facility in the targeted manipulation of the genetic and metabolic composition of organisms, combined with unprecedented computational power, is forging a niche for a new subspecialty of biotechnology called metabolic engineering. First published in 2002, this book introduces researchers and advanced students in biology and engineering to methods of optimizing biochemical systems of biotechnological relevance. It examines the development of strategies for manipulating metabolic pathways, demonstrates the need for effective systems models, and discusses their design and analysis, while placing special emphasis on optimization. The authors propose power-law models and methods of biochemical systems theory toward these ends. All concepts are derived from first principles, and the text is richly illustrated with numerous graphs and examples throughout. Special features include: nontechnical and technical introductions to models of biochemical systems; a review of basic methods of model design and analysis; concepts of optimization; and detailed case studies.
Biochemical engineering --- Mathematical optimization. --- System theory. --- Systems, Theory of --- Systems science --- Science --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Bio-process engineering --- Bioprocess engineering --- Biochemistry --- Biotechnology --- Chemical engineering --- Mathematical models. --- Philosophy
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The model presented in this volume draws together various strands of research – second language acquisition theory, bilingualism research, dynamic systems theory – to develop a novel approach to this challenging subject. Its main focus lies on the psycholinguistic dynamics of multilingualism, the processes of change in time affecting two or more language systems.
Psycholinguistics --- Sociolinguistics --- Multilingualism --- Second language acquisition. --- System theory --- Psychological aspects. --- 800:159.9 --- 800.73 --- Taalwetenschap. Taalkunde. Linguistiek-:-Psychologie: zie ook: Psychiatrie: n-{616.89-008} en n-{615.851} --- Tweetaligheid. Meertaligheid. Vreemde talen. Vertalen --- Psycholinguistics. --- System theory. --- Meertaligheid --- Psycholinguïstiek --- Tweede-taalverwerving --- 800.73 Tweetaligheid. Meertaligheid. Vreemde talen. Vertalen --- 800:159.9 Taalwetenschap. Taalkunde. Linguistiek-:-Psychologie: zie ook: Psychiatrie: n-{616.89-008} en n-{615.851} --- Meertaligheid. --- Psycholinguïstiek. --- Tweede-taalverwerving. --- Second language acquisition --- Systems, Theory of --- Systems science --- Science --- Second language learning --- Language acquisition --- Language, Psychology of --- Language and languages --- Psychology of language --- Speech --- Linguistics --- Psychology --- Thought and thinking --- Plurilingualism --- Polyglottism --- Psychological aspects --- Philosophy --- Multilingualism - Psychological aspects.
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In the last decade a dynamic development in positive systems has been observed. Roughly speaking, positive systems are systems whose inputs, state variables and outputs take only nonnegative values. Examples of positive systems are industrial processes involving chemical reactors, heat exchangers and distillation columns, storage systems, compartmental systems, water and atmospheric pollution models. A variety of models having positive linear system behaviour can be found in engineering, management science, economics, social sciences, biology and medicine, etc. The basic mathematical tools for analysis and synthesis of linear systems are linear spaces and the theory of linear operators. Positive linear systems are defined on cones and not on linear spaces. This is why the theory of positive systems is more complicated and less advanced. The theory of positive systems has some elements in common with theories of linear and non-linear systems. Schematically the relationship between the theories of linear, non-linear and positive systems is shown in the following figure Figure 1.
Non-negative matrices --- Linear systems --- Matrices non négatives --- Systèmes linéaires --- Positive systems --- Matrices non négatives --- Systèmes linéaires --- Computer communication systems. --- Control engineering. --- System theory. --- Computer Communication Networks. --- Control and Systems Theory. --- Systems Theory, Control. --- Systems, Theory of --- Systems science --- Science --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Philosophy --- Distributed processing
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This book provides an approach to the study of perturbation and discretization effects on the long-time behavior of dynamical and control systems. It analyzes the impact of time and space discretizations on asymptotically stable attracting sets, attractors, asumptotically controllable sets and their respective domains of attractions and reachable sets. Combining robust stability concepts from nonlinear control theory, techniques from optimal control and differential games and methods from nonsmooth analysis, both qualitative and quantitative results are obtained and new algorithms are developed, analyzed and illustrated by examples.
Attractors (Mathematics) --- Differentiable dynamical systems. --- Asymptotic expansions. --- Perturbation (Mathematics) --- Differentiable dynamical systems --- Asymptotic expansions --- Geometry --- Mathematical Theory --- Mathematics --- Physical Sciences & Mathematics --- Dynamics. --- Ergodic theory. --- System theory. --- Numerical analysis. --- Calculus of variations. --- Dynamical Systems and Ergodic Theory. --- Systems Theory, Control. --- Numerical Analysis. --- Calculus of Variations and Optimal Control; Optimization. --- Mathematical analysis --- Systems, Theory of --- Systems science --- Science --- Ergodic transformations --- Continuous groups --- Mathematical physics --- Measure theory --- Transformations (Mathematics) --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Isoperimetrical problems --- Variations, Calculus of --- Maxima and minima --- Philosophy
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Nonholonomic systems are a widespread topic in several scientific and commercial domains, including robotics, locomotion and space exploration. This work sheds new light on this interdisciplinary character through the investigation of a variety of aspects coming from several disciplines. The main aim is to illustrate the idea that a better understanding of the geometric structures of mechanical systems unveils new and unknown aspects to them, and helps both analysis and design to solve standing problems and identify new challenges. In this way, separate areas of research such as Classical Mechanics, Differential Geometry, Numerical Analysis or Control Theory are brought together in this study of nonholonomic systems.
Nonholonomic dynamical systems. --- Geometry, Differential. --- Nonlinear control theory. --- Geometry, Differential --- Nonlinear control theory --- Nonholonomic dynamical systems --- Mathematical Theory --- Geometry --- Mathematics --- Physical Sciences & Mathematics --- Dynamics. --- Ergodic theory. --- Mechanics. --- Mechanics, Applied. --- System theory. --- Dynamical Systems and Ergodic Theory. --- Theoretical and Applied Mechanics. --- Systems Theory, Control. --- Systems, Theory of --- Systems science --- Science --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics --- Classical mechanics --- Newtonian mechanics --- Physics --- Dynamics --- Quantum theory --- Ergodic transformations --- Continuous groups --- Mathematical physics --- Measure theory --- Transformations (Mathematics) --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- Philosophy
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A cooperative system is defined to be multiple dynamic entities that share information or tasks to accomplish a common, though perhaps not singular, objective. Examples of cooperative control systems might include: robots operating within a manufacturing cell, unmanned aircraft in search and rescue operations or military surveillance and attack missions, arrays of micro satellites that form a distributed large aperture radar, employees operating within an organization, and software agents. The term entity is most often associated with vehicles capable of physical motion such as robots, automobiles, ships, and aircraft, but the definition extends to any entity concept that exhibits a time dependent behavior. Critical to cooperation is communication, which may be accomplished through active message passing or by passive observation. It is assumed that cooperation is being used to accomplish some common purpose that is greater than the purpose of each individual, but we recognize that the individual may have other objectives as well, perhaps due to being a member of other caucuses. This implies that cooperation may assume hierarchical forms as well. The decision-making processes (control) are typically thought to be distributed or decentralized to some degree. For if not, a cooperative system could always be modeled as a single entity. The level of cooperation may be indicated by the amount of information exchanged between entities. Cooperative systems may involve task sharing and can consist of heterogeneous entities. Mixed initiative systems are particularly interesting heterogeneous systems since they are composed of humans and machines. Finally, one is often interested in how cooperative systems perform under noisy or adversary conditions. In December 2000, the Air Force Research Laboratory and the University of Florida successfully hosted the first Workshop on Cooperative Control and Optimization in Gainesville, Florida. This book contains selected refereed papers summarizing the participants' research in control and optimization of cooperative systems. Audience: Faculty, graduate students, and researchers in optimization and control, computer sciences and engineering.
Decision making. --- Mathematical optimization. --- Control theory. --- Prise de décision --- Optimisation mathématique --- Théorie de la commande --- Mathematics --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Operations Research --- Calculus --- Calculus of variations. --- System theory. --- Computers. --- Numerical analysis. --- Computer science—Mathematics. --- Calculus of Variations and Optimal Control; Optimization. --- Systems Theory, Control. --- Theory of Computation. --- Numeric Computing. --- Discrete Mathematics in Computer Science. --- Mathematical analysis --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Systems, Theory of --- Systems science --- Science --- Isoperimetrical problems --- Variations, Calculus of --- Maxima and minima --- Philosophy --- Dynamics --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Operations research --- Simulation methods --- System analysis --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making
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Physics --- Quantum theory. --- Philosophy. --- Physics. --- Computers. --- Artificial intelligence. --- System theory. --- Mathematical logic. --- Quantum physics. --- Elementary particles (Physics). --- Quantum field theory. --- Elementary Particles, Quantum Field Theory. --- Quantum Physics. --- Artificial Intelligence (incl. Robotics). --- Mathematical Logic and Foundations. --- Systems Theory, Control. --- Theory of Computation. --- Relativistic quantum field theory --- Field theory (Physics) --- Quantum theory --- Relativity (Physics) --- Elementary particles (Physics) --- High energy physics --- Nuclear particles --- Nucleons --- Nuclear physics --- Quantum dynamics --- Quantum mechanics --- Quantum physics --- Mechanics --- Thermodynamics --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Systems, Theory of --- Systems science --- Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Philosophy --- Knowledge, Theory of. --- Epistemology --- Theory of knowledge --- Psychology
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The objective of the workshops associated with ER 2001, the 20th International Conference on Conceptual Modeling, was to give participants the opportunity to present and discuss emerging hot topics, thus adding new perspectives to conceptual modeling. This, the 20th ER conference, the first of the 21st century, was also the first one in Japan. The conference was held on November 27-30, 2001 at Yokohama National University with 192 participants from 31 countries. ER 2001 encompasses the entire spectrum of conceptual modeling, from theoretical aspects to implementations, including fundamentals, applications, and software engineering. In particular, ER 2001 emphasized e-business and reengineering. To meet this objective, we selected the following four topics and planned four international workshops: – International Workshop on Conceptual Modeling of Human/Organizational/Social Aspects of Manufacturing Activities (HUMACS 2001) Manufacturing enterprises have to confront a host of demands. The competitive climate, enhanced by communication and knowledge sharing, will require increasingly rapid responses to market forces. Customer demands for higher quality, better services, and lower cost will force manufacturers to reach new levels of flexibility and adaptability. Sophisticated customers will demand products customized to meet their needs. Industries have so far sought to cope with these challenges primarily through advances in traditional capital by installing more powerful hardware and software technology. Attention to the role of humans combined with organizational and social schemes in manufacturing has only been marginal. The workshop HUMACS 2001 aimed to challenge the relevance of this last point.
Database design --- Relational databases --- Computer science. --- Computers. --- Database management. --- Information storage and retrieval. --- Multimedia information systems. --- System theory. --- Computer Science. --- Theory of Computation. --- Systems Theory, Control. --- Database Management. --- Information Systems Applications (incl. Internet). --- Information Storage and Retrieval. --- Multimedia Information Systems. --- Systems, Theory of --- Systems science --- Science --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Informatics --- Philosophy --- 681.3*I --- 681.3*I Computing methodologies --- Computing methodologies --- Conferences - Meetings --- Information theory. --- Systems theory. --- Information storage and retrieva. --- Multimedia systems. --- Communication theory --- Communication --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software
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