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Mathematics isplayinganevermoreimportantroleinthephysicalandbiological sciences,provokinga blurringof boundariesbetweenscientific disciplinesand a resurgenceof interestinthemodemas well as theclassicaltechniquesof applied mathematics. Thisrenewalofinterest,bothinresearchandteaching,hasledtothe establishment of theseries: Texts in AppliedMathematics (TAM). Thedevelopmentofnewcoursesisanaturalconsequenceofahighleve
標(biāo)簽： Introduction Mathematical Theory the to
上傳時(shí)間： 2020-06-10
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The purpose of this preface is twofold. Firstly, to give an informal historical introduction to the subject area of this book, Systems and Control, and secondly, to explain the philosophy of the approach to this subject taken in this book and to outline the topics that will be covered.
標(biāo)簽： Introduction Mathematical Theory the to
上傳時(shí)間： 2020-06-10
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The countless technological advances of the twentieth century require that futureengineering educationemphasizebridging thegapbetweenTheoryand the real world.Thisedition hasbeenprepared withparticular attentiontothe needs of undergraduates, especially those who seek a solid foundation in control Theory aswellas an ability tobridgethe gapbetween control Theory and itsreal- world applications.To help the reader achieve this goal, computer-aided design accuracy checks (CADAC) are used throughout the text to encourage good habits of computerliteracy.Each CADAC uses fundamentalconcepts to ensure the viability of a computer solution.
標(biāo)簽： Analysis Control Linear Design System Fifth and
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Despite the development of a now vast body of knowledge known as modern control Theory, and despite some spectacular applications of this Theory to practical situations, it is quite clear that much of the Theory has yet to find application, and many practical control problems have yet to find a Theory which will successfully deal with them. No book of course can remedy the situation at this time. But the aim of this book is to construct one of many bridges that are still required for the student and practicing control engineer between the familiar classical control results and those of modern control Theory.
標(biāo)簽： Control Optimal Linear
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The basic topic of this book is solving problems from system and control Theory using convex optimization. We show that a wide variety of problems arising in system and control Theory can be reduced to a handful of standard convex and quasiconvex optimization problems that involve matrix inequalities. For a few special cases there are “analytic solutions” to these problems, but our main point is that they can be solved numerically in all cases. These standard problems can be solved in polynomial- time (by, e.g., the ellipsoid algorithm of Shor, Nemirovskii, and Yudin), and so are tractable, at least in a theoretical sense. Recently developed interior-point methods for these standard problems have been found to be extremely efficient in practice. Therefore, we consider the original problems from system and control Theory as solved.
標(biāo)簽： Linear_Matrix_Inequalities_in_Sys tem
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The main aim of this book is to present a unified, systematic description of basic and advanced problems, methods and algorithms of the modern con- trol Theory considered as a foundation for the design of computer control and management systems. The scope of the book differs considerably from the topics of classical traditional control Theory mainly oriented to the needs of automatic control of technical devices and technological proc- esses. Taking into account a variety of new applications, the book presents a compact and uniform description containing traditional analysis and op- timization problems for control systems as well as control problems with non-probabilistic models of uncertainty, problems of learning, intelligent, knowledge-based and operation systems – important for applications in the control of manufacturing processes, in the project management and in the control of computer systems.
標(biāo)簽： Modern_Control_Theory
上傳時(shí)間： 2020-06-10
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If you are acquainted with neural networks, automatic control problems are good industrial applications and have a dynamic or evolutionary nature lacking in static pattern-recognition; control ideas are also prevalent in the study of the natural neural networks found in animals and human beings. If you are interested in the practice and Theory of control, artificial neu- ral networks offer a way to synthesize nonlinear controllers, filters, state observers and system identifiers using a parallel method of computation.
標(biāo)簽： Control Systems Neural For
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Control systems are used to regulate an enormous variety of machines, products, and processes. They control quantities such as motion, temperature, heat flow, fluid flow, fluid pressure, tension, voltage, and current. Most concepts in control Theory are based on having sensors to measure the quantity under control. In fact, control Theory is often taught assuming the availability of near-perfect feedback signals. Unfortunately, such an assumption is often invalid. Physical sensors have shortcomings that can degrade a control system.
標(biāo)簽： Observers Control Systems in
上傳時(shí)間： 2020-06-10
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Despite the development of a now vast body of knowledge known as modern control Theory, and despite some spectacular applications of this Theory to practical situations, it is quite clear that some of the Theory has yet to find application, and many practical control problems have yet to find a Theory that will successfully deal with them. No one book, of course, can remedy the situation. The aim of this book is to construct bridges that are still required for the student and practicing control engineer between the familiar classical control results and those of modern control Theory.
標(biāo)簽： Quadratic Optimal Control Methods Linear
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In this chapter we give a quick overview of control Theory, explaining why integral feedback control works, describing PID controllers, and summariz- ing some of the currently available techniques for PID controller design. This background will serve to motivate our results on PID control, pre- sented in the subsequent chapters.
標(biāo)簽： Controllers Time-Delay Systems PID for
上傳時(shí)間： 2020-06-10
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