From the reviews: "The style of the book reflects the author’s wish to assist in the effective learning of optimal control by suitable choice of topics, the mathematical level used, and by including numerous illustrated examples. . . .In my view the book suits its function and purpose, in that it gives a student a comprehensive coverage of optimal control in an easy-to-read fashion." —Measurement and Control
Control systems design methodologies have long suffered the traditional and myopic dichotomy between time and frequency domain approaches, each of them being specialized to cope with only scarcely overlapping performance requirements. This book is aimed at bridging the two approaches by presenting design methodologies based on the minimization of a norm (H2/H() of a suitable transfer function. A distinctive feature of these techniques is the fact that they do not create only one solution to the design problem, instead they provide a whole set of admissible solutions which satisfy a constraint on the maximum deterioration of the performance index. A systematic book on this topic is long overdue. Self-contained and practical in its approach, Control Theory and Design enables the reader to use the relevant techniques in various real-life applications. The text covers the basic facts of robustcontrol and theory as well as more recent achievements, such as robust stability and robust performance in presence of parameter uncertainties. It features a new perspective on classical LQC results and further sections on robust synthesis, nonclassicaloptimization problems, and analysis and synthesis of uncertain systems. Control Theory and Design is essential reading for graduates and those entering the research field. The required mathematical background is provided so that the book is also suitable for undergraduate students with some knowledge of basic systemsand control. Provides a self-contained manual for learning control systems and design Contains a clear and concise presentation of the technical background needed Includes a new perspective of classical LQG results Contains updated results and novel contributions to nonstandard RH2/RH infinity symbol problems Covers all the theory from the basic to the more advanced issues
This book provides an introductory yet rigorous treatment of Pontryagin’s Maximum Principle and its application to optimal control problems when simple and complex constraints act on state and control variables, the two classes of variable in such problems. The achievements resulting from first-order variational methods are illustrated with reference to a large number of problems that, almost universally, relate to a particular second-order, linear and time-invariant dynamical system, referred to as the double integrator. The book is ideal for students who have some knowledge of the basics of system and control theory and possess the calculus background typically taught in undergraduate curricula in engineering. Optimal control theory, of which the Maximum Principle must be considered a cornerstone, has been very popular ever since the late 1950s. However, the possibly excessive initial enthusiasm engendered by its perceived capability to solve any kind of problem gave way to its equally unjustified rejection when it came to be considered as a purely abstract concept with no real utility. In recent years it has been recognized that the truth lies somewhere between these two extremes, and optimal control has found its (appropriate yet limited) place within any curriculum in which system and control theory plays a significant role.
Control systems design methodologies have long suffered the traditional and myopic dichotomy between time and frequency domain approaches, each of them being specialized to cope with only scarcely overlapping performance requirements. This book is aimed at bridging the two approaches by presenting design methodologies based on the minimization of a norm (H2/H() of a suitable transfer function. A distinctive feature of these techniques is the fact that they do not create only one solution to the design problem, instead they provide a whole set of admissible solutions which satisfy a constraint on the maximum deterioration of the performance index. A systematic book on this topic is long overdue. Self-contained and practical in its approach, Control Theory and Design enables the reader to use the relevant techniques in various real-life applications. The text covers the basic facts of robustcontrol and theory as well as more recent achievements, such as robust stability and robust performance in presence of parameter uncertainties. It features a new perspective on classical LQC results and further sections on robust synthesis, nonclassicaloptimization problems, and analysis and synthesis of uncertain systems. Control Theory and Design is essential reading for graduates and those entering the research field. The required mathematical background is provided so that the book is also suitable for undergraduate students with some knowledge of basic systemsand control. Provides a self-contained manual for learning control systems and design Contains a clear and concise presentation of the technical background needed Includes a new perspective of classical LQG results Contains updated results and novel contributions to nonstandard RH2/RH infinity symbol problems Covers all the theory from the basic to the more advanced issues
This book provides an introductory yet rigorous treatment of Pontryagin’s Maximum Principle and its application to optimal control problems when simple and complex constraints act on state and control variables, the two classes of variable in such problems. The achievements resulting from first-order variational methods are illustrated with reference to a large number of problems that, almost universally, relate to a particular second-order, linear and time-invariant dynamical system, referred to as the double integrator. The book is ideal for students who have some knowledge of the basics of system and control theory and possess the calculus background typically taught in undergraduate curricula in engineering. Optimal control theory, of which the Maximum Principle must be considered a cornerstone, has been very popular ever since the late 1950s. However, the possibly excessive initial enthusiasm engendered by its perceived capability to solve any kind of problem gave way to its equally unjustified rejection when it came to be considered as a purely abstract concept with no real utility. In recent years it has been recognized that the truth lies somewhere between these two extremes, and optimal control has found its (appropriate yet limited) place within any curriculum in which system and control theory plays a significant role.
From the reviews: "The style of the book reflects the author’s wish to assist in the effective learning of optimal control by suitable choice of topics, the mathematical level used, and by including numerous illustrated examples. . . .In my view the book suits its function and purpose, in that it gives a student a comprehensive coverage of optimal control in an easy-to-read fashion." —Measurement and Control
Language is still a relatively under-researched aspect of the Grand Tour. This book offers a comprehensive introduction enriched by the amusing stories and vivid quotations collected from travellers' writings, providing crucial insights into the rise of modern vernaculars and the standardisation of European languages.
Chapter seven. Memory Reconsolidation and Extinction in Invertebrates: Evolutionarily Conserved Characteristics of Memory Reprocessing and Restabilization
Chapter seven. Memory Reconsolidation and Extinction in Invertebrates: Evolutionarily Conserved Characteristics of Memory Reprocessing and Restabilization
The finding of memory reconsolidation in invertebrates has provided important insight into evolutionary conservation and the adaptive value of the mechanisms involved in memory reprocessing. Furthermore, due to the characteristics of some memory models, important aspects of reconsolidation were initially found in invertebrates and were then confirmed in vertebrates. In the present chapter, we revisit the findings obtained using the context-signal memory model in crabs. These studies were performed both at the behavioral level, to describe the parametrical conditions for memory labilization and reconsolidation, and at the mechanistic level, to describe the molecular features involved in memory reconsolidation and extinction. We then review comparative studies in rodents in which the role of the molecular mechanisms described in invertebrates was evaluated in the contextual memory paradigm of fear conditioning. Comparative studies in humans on the nature of the reminder for reconsolidation are described in another chapter of this book.
From the Prologue: "We are pleased to present this revised edition of Revelation, Faith, and Credibility which was first published in 1998. . . . "We renew our desire that it will be useful for students of theology and for all those who are interested in studying the fundamentals of the Catholic Faith. Furthermore, it is our hope that it will lead the reader to a profound Christian awareness that cooperates with the grace of God in sustaining the Faith, lends reason to our hope, and helps others to receive this great gift of knowing and loving Christ.
Due to their unique advantages for certain experimental approaches, crustaceans have long been used in neurobiological research. In this chapter, we describe a number of important contributions to the field of learning and memory yielded by investigations carried out over more than 20 years in the crab Neohelice (until recently Chasmagnathus) granulata. Several distinct learning paradigms have been implemented in this animal, with the most compelling studies being performed in the so called context-signal memory (CSM). Acquired through a single training session, CSM entails a long-lasting modification (>5 days) of the escape response to a visual danger stimulus. CSM is determined by an association between two independent memories—a memory of the stimulus (signal memory) and a memory of the training environment (context memory). Investigations of CSM have been performed using behavioral, ecological, electrophysiological, anatomical, pharmacological, and molecular approaches. Fundamental findings and their significance are discussed.
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