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"An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques. "-- Provided by publisher.

Mathematical models. --- Real-time control.

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Iterative learning control (ILC) has been a major control design methodology for twenty years; numerous algorithms have been developed to solve real-time control problems, from MEMS to batch reactors, characterised by repetitive control operations. Real-time Iterative Learning Control demonstrates how the latest advances in ILC can be applied to a number of plants widely encountered in practice. The authors provide a hitherto lacking systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in the linear and nonlinear plants that pervade mechatronics and batch processes are addressed. In particular, the book discusses: • ILC design in the continuous- and discrete-time domains; • design in the frequency and time domains; • design with problem-specific performance objectives including robustness and optimality; • design by means of classical tools based on Bode plots and state space; and • iterative-learning-based parametric identification. Real-time Iterative Learning Control will interest control engineers looking for examples of how this important control technique can be applied to a variety of real-life problems. With its systematic formulation and analysis of different system properties and performance and its exposition of open problems, academics and graduate students working in control will find it a useful reference to the current status of ILC.

Intelligent control systems. --- Iterative methods (Mathematics). --- Real-time control. --- Intelligent control systems --- Real-time control --- Iterative methods (Mathematics) --- Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- Numerical analysis. --- Robotics. --- Iteration (Mathematics) --- Engineering. --- Chemical engineering. --- Engineering design. --- Control engineering. --- Manufacturing industries. --- Machines. --- Tools. --- Electronics. --- Microelectronics. --- Control. --- Industrial Chemistry/Chemical Engineering. --- Manufacturing, Machines, Tools. --- Engineering Design. --- Electronics and Microelectronics, Instrumentation. --- Automation --- Machine theory --- Mathematical analysis --- Numerical analysis --- Manufactures. --- Control and Systems Theory. --- Manufacturing, Machines, Tools, Processes. --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries --- Chemistry, Industrial --- Engineering, Chemical --- Industrial chemistry --- Engineering --- Chemistry, Technical --- Metallurgy --- Electrical engineering --- Physical sciences --- Design, Engineering --- Industrial design --- Strains and stresses --- Design --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers

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This volume is the proceedings of the workshop “Next Generation Design and Verification Methodologies for Distributed Embedded Control Systems” organised by General Motors R&D, India Science Lab. The workshop was held on January 5-6 2007 at the NIAS auditorium, IISc campus, Bangalore, India. This workshop is the first of its kind to be organised by an automotive major to bring together the leaders in the field of embedded systems development to present state-of-the-art work, and to discuss future strategies for addressing the increasing complexity of embedded control systems. The workshop consisted of invited talks given by leading experts and researchers from academic and industrial organizations. The workshop covered all areas of embedded systems development and in particular: Formal specification and verification of distributed, heterogeneous, embedded systems Formal semantics of modeling languages Model-based specification and testing Formal approach to component based development Software product line engineering Automatic code generation for distributed, embedded systems.

Automatic control --- Embedded computer systems --- Real-time control --- Systems engineering. --- Information theory. --- Software engineering. --- Computer simulation. --- Computer science. --- Circuits and Systems. --- Theory of Computation. --- Software Engineering. --- Simulation and Modeling. --- Math Applications in Computer Science. --- Informatics --- Science --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Computer software engineering --- Engineering --- Communication theory --- Communication --- Cybernetics --- Engineering systems --- System engineering --- Industrial engineering --- System analysis --- Design and construction --- Electronic circuits. --- Computers. --- Computer science—Mathematics. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Machine theory --- Calculators --- Cyberspace --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics

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Recent years have seen a very marked increase in the desire to protect the environment from any and all malign influences. The maintenance or restoration of water quality is a vital part of that protection. A sine qua non of control system development for modern sewer networks is therefore the preservation of the water system around a network’s outflow(s). Several approaches have been proposed for the optimisation of sewage control and Optimal Real-time Control of Sewer Networks provides a comparative synthesis of a central sewer network flow control based on two of these: nonlinear-optimal and multivariable-feedback control. In nonlinear optimal control, control and operational objectives are treated directly by the formulation of a nonlinear cost function minimized according to system constraints and the relevant state equation. The comparison presented uses the rolling horizon method for the real-time application of the optimal control algorithm with updated inflow predictions and updated initial conditions. On the other hand, the linear multivariable feedback regulator – considered with and without feedforward terms to account for external inflows – is developed via a systematic linear-quadratic procedure including precise specifications on model structure, equations and the choice of nominal steady state and quadratic criterion. The comprehensive testing and comparison of these protocols is undertaken on the basis of their respective control results for the real large-scale sewer network located around the river Obere Iller in Bavaria. The control strategies now implemented within this network are based on this study. Starting at the selection of possible methods of control and moving to the actual implementation of those methods in a real sewer system, Optimal Real-time Control of Sewer Networks will be invaluable to control and civil engineers working in sewage flow and wastewater treatment and of great interest to academics wishing to see how their ideas on optimal control are likely to work out when practically applied. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Combined sewers --- Real-time control. --- Automatic control. --- Real-time computer control --- Automatic control --- Sewerage --- Environmental pollution. --- Waste disposal. --- Civil engineering. --- Control and Systems Theory. --- Water Industry/Water Technologies. --- Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution. --- Waste Management/Waste Technology. --- Civil Engineering. --- Engineering --- Public works --- Chemical pollution --- Chemicals --- Contamination of environment --- Environmental pollution --- Pollution --- Contamination (Technology) --- Asbestos abatement --- Bioremediation --- Environmental engineering --- Environmental quality --- Factory and trade waste --- Hazardous waste site remediation --- Hazardous wastes --- In situ remediation --- Lead abatement --- Pollutants --- Refuse and refuse disposal --- Environmental aspects --- Control engineering. --- Water-supply. --- Water pollution. --- Waste management. --- Aquatic pollution --- Fresh water --- Fresh water pollution --- Freshwater pollution --- Inland water pollution --- Lake pollution --- Lakes --- Reservoirs --- River pollution --- Rivers --- Stream pollution --- Water contamination --- Water pollutants --- Water pollution --- Waste disposal in rivers, lakes, etc. --- Availability, Water --- Water availability --- Water resources --- Natural resources --- Public utilities --- Water resources development --- Water utilities --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers

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Recent evolutionary advances in information and communication technologies give rise to a new environment for Real Time Control Systems. This is a new dynamic environment that features both resource limitation and workload variability. As a consequence, the availability of the computing and/or communication resources becomes typically uncertain in modem Real Time Control Systems. In this context, the espQCtQd Quality of Control (QoC) of the systems cannot always be guaranteed by the traditional control systems design methodology that separates control from scheduling. From a resource scheduling perspective, the prevalent open loop scheduling schemes in real time systems obviously lack flexibility when applied to Real Time Control Systems operating in dynamic environments. To make the best use of available resources, more holistic principles and methods need to be developed. These requirements motivate the recent technological trend towards the convergence of computing, communication and control. This book is a monograph that covers our recent and original results in this direction. The main objectives of this work are: (1) To construct a unified framework of feedback scheduling that enables the integration of control with computing and communication. This framework will encompass a set of concrete feedback scheduling methods and algorithms that are applicable to different systems. With these methods and algorithms, solutions are provided for some key issues in feedback scheduling, thus promoting the emergence of this area. {2)To enable flexible QoC management in dynamic environments with uncertainty in resource availability.

Real-time control. --- Feedback control systems --- Adaptive control systems --- Computer scheduling --- System design. --- Quality control. --- Design, System --- Systems design --- Electronic data processing --- System analysis --- Processor scheduling (Electronic data processing) --- Scheduling of electronic data processing --- Production scheduling --- Time-sharing computer systems --- Self-adaptive control systems --- Artificial intelligence --- Self-organizing systems --- Feedback mechanisms --- Feedback systems --- Automatic control --- Automation --- Discrete-time systems --- Feedforward control systems --- Real-time computer control --- Scheduling --- Computer engineering. --- Telecommunication. --- Control and Systems Theory. --- Control, Robotics, Mechatronics. --- Electrical Engineering. --- Communications Engineering, Networks. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Computers --- Design and construction --- Control engineering. --- Robotics. --- Mechatronics. --- Electrical engineering. --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Machine theory --- Electric engineering --- Engineering --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers