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دانشجوعلاقه‌مند یادگیری
کتابخوان حرفه‌ایلذت مطالعه
نویسندهالهام‌گیری

Estimation problems in hybrid systems

David D Sworder; John E Boyd; Cambridge University Press

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تحویل فوری
پرداخت امن
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پشتیبانی

مشخصات کتاب

سال انتشار
۱۹۹۹
فرمت
PDF
زبان
انگلیسی
تعداد صفحات
۹ صفحه
حجم فایل
۲٫۰ مگابایت
شابک
9780511007811، 9780511035357، 9780511050596، 9780511149061، 9780511171758، 9780511302015، 9780511546150، 9780521024525، 9780521623209، 9781107111110، 9781280418907، 9786610418909، 0511007817، 0511035357، 0511050593، 0511149069، 0511171757، 0511302010، 0511546157، 0521024528، 0521623200، 1107111110، 1280418907، 661041890X

دربارهٔ کتاب

Recent developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid, nonlinear systems. This volume presents a highly effective, flexible family of estimation algorithms that can be used in estimating or controlling a wide variety of nonlinear plants. Several applications are studied, including tracking a maneuvering aircraft, automatic target recognition, and the decoding of signals transmitted across a wireless communications link. The authors begin by setting out the necessary theoretical background. They then develop a practical, finite-dimensional approximation to an optimal estimator. Throughout the chapters they illustrate theoretical results by simulation of control and estimation in real-world hybrid systems, drawn from a variety of engineering fields. The book will be of great interest to graduate students and researchers in electrical and computer engineering. It will also be a useful reference for practicing engineers involved in the design of estimation, tracking or wireless communications systems. Developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid, nonlinear systems. This book presents an effective, flexible family of estimation algorithms that can be used in estimating or controlling a variety of nonlinear plants. Several applications are studied, including tracking a manoeuvring aircraft, automatic target recognition, and the decoding of signals transmitted across a wireless communications link. The authors begin by setting out the necessary theoretical background and then develop a practical, finite-dimensional approximation to an optimal estimator. Throughout the book, they illustrate theoretical results by simulation of control and estimation in real-world hybrid systems, drawn from a variety of engineering fields. The book will be of great interest to graduate students and researchers in electrical and computer engineering. It will also be a useful reference for practising engineers involved in the design of estimation, tracking or wireless communications systems. "This book develops and illustrates a highly effective, computationally efficient, and flexible family of algorithms that can be used for the design of state estimators and feedback controllers for a variety of nonlinear plants. Several applications are studied, including tracking a maneuvering aircraft, automatic target recognition, and the decoding of signals transmitted across a wireless communications link."--BOOK JACKET. "The book will be of great interest to graduate students and researchers in electrical and computer engineering. It will also be a useful reference for practicing engineers involved in the design of estimation, tracking, or wireless communications systems."--Jacket This book presents a highly effective, flexible family of estimation algorithms that can be used in estimating or controlling a wide variety of nonlinear plants. Several applications are studied, including tracking a manoeuvring aircraft, automatic target recognition, and the decoding of signals transmitted across a wireless communications link. Common problems in design require that an engineer devise a control or decision algorithm that converts measurements of system and environmental variables into signals that aid in system regulation.

a Guide To How Diverse Sensors Can Be Integrated To Create Enhanced Controllers And Estimators In A Variety Of Situations.

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