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Production management --- Applied physical engineering --- controleleer --- mechatronica --- industriële robots --- Artificial intelligence. Robotics. Simulation. Graphics --- technische controle --- CAD (computer aided design) --- regeltechniek --- Feedback control systems. --- feedback --- controlesystemen --- Feedback mechanisms --- Feedback systems --- Automatic control --- Automation --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems --- Feedback control system --- Control theory --- Systèmes à réaction --- Commande, Théorie de la --- Commande automatique --- Feedback control systems --- Systèmes à réaction. --- Commande, Théorie de la. --- Commande automatique.

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Control theory --- Feedback control systems --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research

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John Holland is known as 'the father of genetic algorithms', a pioneer exploring 'emergence' & a leading figure in the sciences of complexity. This volume offers 17 scholarly papers that set out to evaluate Holland's work, drawing from a variety of disciplines, ranging from economics to cognitive science.

Adaptive control systems --- Artificial intelligence. --- 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 --- Self-adaptive control systems --- Artificial intelligence --- Feedback control systems --- Mathematical models. --- Holland, John H. --- Holland, John Henry,

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A central theme in the study of dynamic systems is the modelling and control of uncertain systems. While ‘uncertainty’ has long been a strong motivating factor behind many techniques developed in the modelling, control, statistics and mathematics communities, the past decade, in particular, has witnessed remarkable progress in this area with the emergence of a number of powerful newmethodsforbothmodellingandcontrollinguncertaindynamicsystems. The speci?c objective of this book is to describe and review some of these exciting new approaches within a single volume. Our approach was to invite some of the leading researchers in this area to contribute to this book by submitting both tutorial papers on their speci?c area of research, and to submit more focussed research papers to document some of the latest results in the area. We feel that collecting some of the main results together in this manner is particularly important as many of the important ideas that emerged in the past decade were derived in a variety of academic disciplines. By providing both tutorial and researchpaperswehopetobeabletoprovidetheinterestedreaderwithsu?cient background to appreciate some of the main concepts from a variety of related, but nevertheless distinct ?elds, and to provide a ?avor of how these results are currently being used to cope with ‘uncertainty. ’ It is our sincere hope that the availability of these results within a single volume will lead to further cro- fertilization of ideas and act as a spark for further research in this important area of applied mathematics.

Feedback control systems --- Switching theory --- Commutation, Théorie de la --- Congresses. --- Congrès --- Computer Science --- Mechanical Engineering - General --- Engineering & Applied Sciences --- Mechanical Engineering --- Feedback mechanisms --- Feedback systems --- Computer science. --- Special purpose computers. --- Computers. --- Mathematical statistics. --- Artificial intelligence. --- Computer simulation. --- Dynamics. --- Ergodic theory. --- Computer Science. --- Computation by Abstract Devices. --- Simulation and Modeling. --- Artificial Intelligence (incl. Robotics). --- Special Purpose and Application-Based Systems. --- Probability and Statistics in Computer Science. --- Dynamical Systems and Ergodic Theory. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Ergodic transformations --- Continuous groups --- Mathematical physics --- Measure theory --- Transformations (Mathematics) --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- 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 --- Fifth generation computers --- Neural computers --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Special purpose computers --- Computers --- Informatics --- Science --- Statistical methods --- Automatic control --- Automation --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems --- Software engineering. --- Differentiable dynamical systems. --- Artificial Intelligence. --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Computer software engineering --- Engineering --- Computers, Special purpose. --- Computer science—Mathematics. --- Dynamical systems. --- Theory of Computation. --- Computer Modelling. --- Dynamical Systems.

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Advances in automotive control systems continue to enhance safety and comfort and to reduce fuel consumption and emissions. Reflecting the trend to optimization through integrative approaches for engine, driveline and vehicle control, this book enables control engineers to understand engine and vehicle models necessary for controller design and also introduces mechanical engineers to vehicle-specific signal processing and automatic control. The emphasis on measurement, comparisons between performance and modelling, and realistic examples derive from the authors’ industrial experience at Bosch and interactions within IFAC and SAE. The second edition offers new or expanded topics such as diesel-engine modelling, diagnosis and anti-jerking control, and vehicle modelling and parameter estimation. The book addresses professional engineers as well as students. With only a few exceptions, the approaches are close to those utilized in actual vehicles, rather than being purely theoretical.

Automotive computers. --- Automobiles --- Adaptive control systems. --- Ordinateurs de bord --- Systèmes adaptatifs --- Automatic control. --- Motors --- Control systems. --- Commande automatique --- Moteurs --- Systèmes de commande --- Automobiles -- Automatic control. --- Automobiles -- Motors -- Control systems. --- Mechanical Engineering - General --- Automotive Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- 629 --- Transport vehicle engineering --- 629 Transport vehicle engineering --- Systèmes adaptatifs --- Systèmes de commande --- EPUB-LIV-FT LIVINGEN SPRINGER-B --- Self-adaptive control systems --- Engineering. --- Automotive engineering. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Automotive Engineering. --- Adaptive control systems --- Autos (Automobiles) --- Cars (Automobiles) --- Gasoline automobiles --- Motorcars (Automobiles) --- Motor vehicles --- Transportation, Automotive --- Artificial intelligence --- Feedback control systems --- Self-organizing systems --- Automatic control --- Motors&delete& --- Control systems --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Construction --- Industrial arts --- Technology --- Motor véhicules --- Internal combustion engines --- Véhicules automobiles --- Moteurs à combustion interne --- Combustion --- Motor vehicles.