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What is the contribution of General System Theory to the macro-level understanding of economic, social and technological changes in our epoch from a multidimensional perspective? What is the contribution of Social Action Theory on a micro-scale? Can complex scenario analyses, although based upon uncertainty and unpredictability, offer a viable toolkit for managing these transformations? This book contains twelve chapters, dealing with these questions from various points of view. It brings together essays in sociology, economics, law and humanities to provide as complete a representation as possible of the current global situation. The theoretical framework adopted here is that the systemic approach provides the most effective tool both for understanding social phenomena and elaborating policy-modelling strategies for decision makers that are supposed to tackle social criticalities.

Action research. --- System theory.

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This book presents up-to-date research developments and novel methodologies on semi-Markovian jump systems (S-MJS). It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection. A set of newly developed techniques such as piecewise analysis method, positively invariant set approach, event-triggered method, and cone complementary linearization approaches are presented. Control and Filtering for Semi-Markovian Jump Systems is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.

Control engineering. --- System theory. --- Control and Systems Theory. --- Systems Theory, Control.

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This book bridges fundamental gaps between control theory and formal methods. Although it focuses on discrete-time linear and piecewise affine systems, it also provides general frameworks for abstraction, analysis, and control of more general models. The book is self-contained, and while some mathematical knowledge is necessary, readers are not expected to have a background in formal methods or control theory. It rigorously defines concepts from formal methods, such as transition systems, temporal logics, model checking and synthesis. It then links these to the infinite state dynamical systems through abstractions that are intuitive and only require basic convex-analysis and control-theory terminology, which is provided in the appendix. Several examples and illustrations help readers understand and visualize the concepts introduced throughout the book.

Control engineering. --- Computational complexity. --- System theory. --- Control and Systems Theory. --- Complexity. --- Systems Theory, Control.

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Computational complexity. --- System analysis. --- System theory. --- Systems, Theory of --- Systems science --- Science --- Network analysis --- Network science --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Complexity, Computational --- Electronic data processing --- Machine theory --- Philosophy

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This book develops original results regarding singular dynamic systems following two different paths. The first consists of generalizing results from classical state-space cases to linear descriptor systems, such as dilated linear matrix inequality (LMI) characterizations for descriptor systems and performance control under regulation constraints. The second is a new path, which considers descriptor systems as a powerful tool for conceiving new control laws, understanding and deciphering some controller’s architecture and even homogenizing different—existing—ways of obtaining some new and/or known results for state-space systems. The book also highlights the comprehensive control problem for descriptor systems as an example of using the descriptor framework in order to transform a non-standard control problem into a classic stabilization control problem. In another section, an accurate solution is derived for the sensitivity constrained linear optimal control also using the descriptor framework. The book is intended for graduate and postgraduate students, as well as researchers in the field of systems and control theory. .

Control engineering. --- System theory. --- Vibration. --- Dynamical systems. --- Dynamics. --- Control and Systems Theory. --- Systems Theory, Control. --- Vibration, Dynamical Systems, Control.