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Relancer l'économie après la crise induite par la pandémie de COVID 19 nécessite des politiques et des réformes qui s'attaquent aux inégalités et soutiennent l'égalité des chances. Toutefois, la mise en œuvre de telles réformes exige un large soutien de la population. Afin de mieux comprendre les facteurs qui influencent l'adhésion de l'opinion publique, le présent rapport propose une analyse détaillée de la perception qu'ont les individus des inégalités et des préoccupations qu'elles suscitent dans différents pays. Il décrit comment les préoccupations relatives aux inégalités de revenu ont progressé au fil du temps dans les pays de l'OCDE. Aujourd'hui, dans la plupart des pays, une grande majorité de la population considère que les inégalités de revenu sont trop importantes et que la mobilité intergénérationnelle est trop faible. Pourtant, les politiques de réduction des inégalités pourraient ne pas susciter une adhésion suffisante à leur mise en œuvre si la société ne parvient pas à s'accorder sur des solutions politiques concrètes ou si ses membres doutent de l'efficacité de ces mesures. En outre, même lorsque la majorité réclame plus d'égalité, une opinion publique divisée peut compliquer l'introduction de réformes. Le rapport montre que les personnes d'un même pays sont souvent divisées au sujet de l'ampleur des inégalités et de ce qui devrait être fait pour relever ce défi. Il présente comment l'analyse des perceptions et des préoccupations des individus peut être utilisée pour éclairer l'élaboration de l'action des pouvoirs publics.
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Group Majorization Methods Extensions of Matrix Inequalities to Lie Groups studiesvarious concepts of matrix and inequalities extensions. The book provides the readerwith insights into the Matrix Inequalities and Their Extensions to Lie Groups in orderto give a methodical and efficient account of recent important extensions of classicalmatrix results, especially matrix inequalities.
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"Preface In recent years linear matrix inequalities (LMIs) have emerged as a powerful tool in the field of control systems analysis and design. Many problems such as state feedback synthesis, robustness analysis and design, H2 and H? control, can all be reduced to convex or quasi-convex problems that involve LMIs. The most attractive feature of LMIs lies in the fact that many problems in systems and control can be reduced to LMI problems, which can be solved both efficiently and numerical reliably. Very efficient algorithms to solve linear matrix inequalities have been developed and can be readily used through the mature Matlab LMI toolbox or the open source software packages YALMIP and CVX. LMIs today has been a real technique. With the help of the LMI techniques in control systems analysis and design, more and more theoretical and practical applications can now be solved, many of which might not be otherwise solved by traditional methods. Goal of the book The goal of this book is to provide a textbook for graduate and senior undergraduate courses in the field of control systems analysis and design, which contains the basic but systematic knowledge about LMIs and LMI-based control systems analysis and design. Boyd et al. (1994), which is the first book on LMIs, certainly has performed a pioneering function in the field, but limited by time it fails to catch up with the ever fast emerging new theories and techniques in LMIs. Yu (2002) is a book on LMI approach to robust control, which is suitable to be used as a textbook, but the Chinese language limits its usage worldwide"--
Control theory --- Mathematical optimization --- Matrix inequalities
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Matrices. --- Matrix inequalities. --- Inégalités matricielles. --- Matrices --- Inégalités matricielles --- Matrix inequalities --- Inequalities (Mathematics) --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal
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Control theory. --- Matrix inequalities. --- Mathematical optimization. --- Control theory --- Matrix inequalities --- Mathematical optimization --- #TELE:SISTA --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Inequalities (Mathematics) --- Matrices --- Dynamics --- Machine theory
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Control theory. --- Matrix inequalities. --- Mathematical optimization. --- Théorie de la commande --- Inégalités matricielles --- Optimisation mathématique --- Matrix inequalities --- Control theory --- Mathematical optimization --- Inequalities (Mathematics) --- Matrices --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Dynamics --- Machine theory
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This book is entirely devoted to sampled-data control systems analysis and design from a new point of view, which has at its core a mathematical tool named Differential Linear Matrix Inequality - DLMI, a natural generalization of Linear Matrix Inequality - LMI, that had an important and deep impact on systems and control theory almost thirty years ago. It lasts until now. It is shown that the DLMI is well adapted to deal with the important class of sampled-data control systems in both theoretical and numerical contexts. All design conditions are expressed by convex programming problems, including when robustness against parameter uncertainty is assessed and imposed through state feedback control. Special attention is given to filter, dynamic output feedback and model predictive control design, as well as nonlinear systems of Lur’e class and Markov jump linear systems. The subject is treated with mathematical rigor, at the same time, trying to keep the reading agreeable and fruitful for colleagues and graduate students. To this respect, the book contains together with the theoretical developments, many solved illustrative examples and the formulation of some open problems that could be faced and hopefully solved by interested readers. Describes a new mathematical tool named differential linear matrix inequality (DLMI) and its applications; Presents and discusses a numerical determination of a solution whenever it exists; Includes coverage of control and filtering design problems involving sampled-data systems. .
Engineering mathematics. --- Control engineering. --- Mechatronics. --- Engineering Mathematics. --- Control and Systems Theory. --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Control theory. --- Matrix inequalities. --- System analysis.
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This book presents the various design methods of a state-feedback control law and of an observer. The considered systems are of continuous-time and of discrete-time nature, monovariable or multivariable, the last ones being of main consideration. Three different approaches are described: • Linear design methods, with an emphasis on decoupling strategies, and a general formula for multivariable controller or observer design; • Quadratic optimization methods: Linear Quadratic Control (LQC), optimal Kalman filtering, Linear Quadratic Gaussian (LQG) control; • Linear matrix inequalities (LMIs) to solve linear and quadratic problems. The duality between control and observation is taken to advantage and extended up to the mathematical domain. A large number of exercises, all given with their detailed solutions, mostly obtained with MATLAB, reinforce and exemplify the practical orientation of this book. The programs, created by the author for their solving, are available on the Internet sites of Springer and of MathWorks for downloading. This book is targeted at students of Engineering Schools or Universities, at the Master’s level, at engineers desiring to design and implement innovative control methods, and at researchers.
Control theory. --- Electronic books. -- local. --- Mathematical optimization. --- Matrix inequalities. --- Control theory --- Matrix inequalities --- Mathematical optimization --- Mechanical Engineering --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Mechanical Engineering - General --- Operations Research --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Engineering. --- System theory. --- Applied mathematics. --- Engineering mathematics. --- Control engineering. --- Control. --- Systems Theory, Control. --- Appl.Mathematics/Computational Methods of Engineering. --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Inequalities (Mathematics) --- Matrices --- Dynamics --- Machine theory --- Systems theory. --- Control and Systems Theory. --- Mathematical and Computational Engineering. --- Engineering --- Engineering analysis --- Mathematics --- Systems, Theory of --- Systems science --- Science --- Control engineering --- Control equipment --- Engineering instruments --- Automation --- Programmable controllers --- Philosophy
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Matrius (Matemàtica) --- Desigualtats (Matemàtica) --- Processos infinits --- Desigualtats isoperimètriques --- Àlgebra de matrius --- Àlgebra matricial --- Càlcul de matrius --- Càlcul matricial --- Matrius (Àlgebra) --- Àlgebra abstracta --- Àlgebra universal --- Anàlisi multivariable --- Diagrames de Feynman --- Grups modulars --- Jocs d'estratègia (Matemàtica) --- Matrius aleatòries --- Matrius disperses --- Programació lineal --- Desigualtats matricials --- Desigualtats de matrius --- Matrix inequalities. --- Operator theory. --- Functional analysis --- Inequalities (Mathematics) --- Matrices
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