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Thepastthree decadeshaveseenrapiddevelopmentin the areaofmodelpred- tive control with respect to both theoretical and application aspects. Over these 30 years, model predictive control for linear systems has been widely applied, especially in the area of process control. However, today’s applications often require driving the process over a wide region and close to the boundaries of - erability, while satisfying constraints and achieving near-optimal performance. Consequently, the application of linear control methods does not always lead to satisfactory performance, and here nonlinear methods must be employed. This is one of the reasons why nonlinear model predictive control (NMPC) has - joyed signi?cant attention over the past years,with a number of recent advances on both the theoretical and application frontier. Additionally, the widespread availability and steadily increasing power of today’s computers, as well as the development of specially tailored numerical solution methods for NMPC, bring thepracticalapplicabilityofNMPCwithinreachevenforveryfastsystems.This has led to a series of new, exciting developments, along with new challenges in the area of NMPC.

Predictive control --- Nonlinear control theory --- Commande non linéaire --- Congresses. --- Congrès --- Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- Model based predictive control --- Model predictive control --- Engineering. --- System theory. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Systems Theory, Control. --- Automatic control --- Systems, Theory of --- Systems science --- Science --- Philosophy --- Systems theory. --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers

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This monograph provides insight and fundamental understanding into the feedback control of nonlinear and hybrid process systems. It presents state-of-the-art methods for the synthesis of nonlinear feedback controllers for nonlinear and hybrid systems with uncertainty, constraints and time-delays with numerous applications, especially to chemical processes. It covers both state feedback and output feedback (including state estimator design) controller designs. Control of Nonlinear and Hybrid Process Systems includes numerous comments and remarks providing insight and fundamental understanding into the feedback control of nonlinear and hybrid systems, as well as applications that demonstrate the implementation and effectiveness of the presented control methods. The book includes many detailed examples which can be easily modified by a control engineer to be tailored to a specific application. This book is useful for researchers in control systems theory, graduate students pursuing their degree in control systems and control engineers.

Nonlinear control theory. --- Process control. --- Commande non linéaire --- Contrôle industriel --- Engineering. --- Systems theory. --- Vibration. --- Control Engineering. --- Vibration, Dynamical Systems, Control. --- Systems Theory, Control. --- Nonlinear control theory --- Process control --- Operations Research --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Control of industrial processes --- Industrial process control --- Construction --- System theory. --- Dynamical systems. --- Dynamics. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Cycles --- Mechanics --- Sound --- Systems, Theory of --- Systems science --- Science --- Philosophy --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers

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Despite many signi?cant advances in the theory of nonlinear control in recent years, the majority of control laws implemented in the European aerospace - dustry are still designed and analysed using predominantly linear techniques applied to linearised models of the aircrafts’ dynamics. Given the continuous increase in the complexity of aircraft control laws, and the corresponding - crease in the demands on their performance and reliability, industrial control law designers are highly motivated to explore the applicability of new and more powerful methods for design and analysis. The successful application of fully nonlinear control techniques to aircraft control problems o?ers the prospect of improvements in several di?erent areas. Firstly, there is the possibility of - proving design and analysis criteria to more fully re?ect the nonlinear nature of the dynamics of the aircraft. Secondly, the time and e?ort required on the part of designers to meet demanding speci?cations on aircraft performance and h- dling could be reduced. Thirdly, nonlinear analysis techniques could potentially reduce the time and resources required to clear ?ight control laws, and help to bridge the gap between design, analysis and ?nal ?ight clearance. Theaboveconsiderationsmotivatedtheresearchpresentedinthisbook,which is the result of a three-year research e?ort organised by the Group for Aeron- tical Research and Technology in Europe (GARTEUR). In September 2004, GARTEUR Flight Mechanics Action Group 17 (FM-AG17) was established to conduct research on ”New Analysis and Synthesis Techniques for Aircraft Control”.

Flight control --- Airplanes --- Nonlinear control theory --- Commande non linéaire --- Mathematical models --- Control systems --- Aeronautics Engineering & Astronautics --- Mechanical Engineering --- Engineering & Applied Sciences --- Nonlinear control theory. --- Mathematical models. --- Control systems (Flight) --- Aeroplanes --- Aircraft, Fixed wing --- Fixed wing aircraft --- Planes (Airplanes) --- Engineering. --- System theory. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Systems Theory, Control. --- Control theory --- Nonlinear theories --- Automatic control --- Guidance systems (Flight) --- Flying-machines --- Aircraft industry --- Systems, Theory of --- Systems science --- Science --- Philosophy --- Systems theory. --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Engineering instruments --- Programmable controllers

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The problem of state reconstruction in dynamical systems, known as observer problem, is undoubtedly crucial for controlling or just monitoring processes. For linear systems, the corresponding theory has been quite well established for several years now, and the purpose of the present book is to propose an overview on possible tools in that respect for nonlinear systems. Basic observability notions and observer structures are first recalled, together with ingredients for advanced designs on this basis. A special attention is then paid to the well-known high gain techniques with a summary of various corresponding recent results. A focus on the celebrated Extended Kalman filter is also given, in the perspectives of both nonlinear filtering and high gain observers, leading to so-called adaptive-gain observers. The more specific immersion approach for observer design is then emphasized, while optimization-based methods are also presented as an alternative to analytic observers. Various practical application examples are included in those discussions, and some fields of application are further considered: first the problem of nonlinear output regulation is reformulated in a perspective of observers, and then the problem of parameter or fault estimation is briefly mentioned through some adaptive observer tools.

Observers (Control theory) --- Nonlinear control theory --- Observabilité (Théorie de la commande) --- Commande non linéaire --- Operations Research --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Nonlinear control theory. --- Observability (Control theory) --- State estimator (Control theory) --- State observer (Control theory) --- Engineering. --- System theory. --- Statistical physics. --- Dynamical systems. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Systems Theory, Control. --- Statistical Physics, Dynamical Systems and Complexity. --- Control theory --- Nonlinear theories --- Complex Systems. --- Statistical Physics and Dynamical Systems. --- Physics --- Mathematical statistics --- Systems, Theory of --- Systems science --- Science --- Statistical methods --- Philosophy --- Systems theory. --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Engineering instruments --- Programmable controllers

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This volume presents a well balanced combination of state-of-the-art theoretical results in the field of nonlinear controller and observer design, combined with industrial applications stemming from mechatronics, electrical, (bio–) chemical engineering, and fluid dynamics. The unique combination of results of finite as well as infinite–dimensional systems makes this book a remarkable contribution addressing postgraduates, researchers, and engineers both at universities and in industry. The contributions to this book were presented at the Symposium on Nonlinear Control and Observer Design: From Theory to Applications (SYNCOD), held September 15–16, 2005, at the University of Stuttgart, Germany. The conference and this book are dedicated to the 65th birthday of Prof. Dr.–Ing. Dr.h.c. Michael Zeitz to honor his life – long research and contributions on the fields of nonlinear control and observer design.

Nonlinear control theory --- Observers (Control theory) --- Differentiable dynamical systems --- Commande non linéaire --- Observabilité (Théorie de la commande) --- Dynamique différentiable --- Congresses --- Congresses. --- Congrès --- Engineering. --- Systems theory. --- Physics. --- Vibration. --- Control Engineering. --- Vibration, Dynamical Systems, Control. --- Systems Theory, Control. --- Complexity. --- Operations Research --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Observability (Control theory) --- State estimator (Control theory) --- State observer (Control theory) --- Natural philosophy --- Philosophy, Natural --- Construction --- System theory. --- Statistical physics. --- Dynamical systems. --- Dynamics. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Statistical Physics, Dynamical Systems and Complexity. --- Complex Systems. --- Statistical Physics and Dynamical Systems. --- Cycles --- Mechanics --- Sound --- Physics --- Mathematical statistics --- Systems, Theory of --- Systems science --- Science --- Statistical methods --- Philosophy --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Statics --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers