A noncausal ARMA model is employed to accurately account for the two-dimensional structure of imagery data. An equation error approach is taken to develop an observer-identifier for the identification of the image mod...
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A noncausal ARMA model is employed to accurately account for the two-dimensional structure of imagery data. An equation error approach is taken to develop an observer-identifier for the identification of the image model parameters. The identified model is recast into a state equation form which serves as the basis for applying Kalman filtering equations. The resulting strip filter is applied to an image restoration problem. Simulated results are included to illustrate image model verification and the convergence of the model parameter observer-identifier. Also included are images demonstrating the effectiveness of the resulting image restoration filter.
The problem of designing reduced-order observers for linear discrete-time systems with unknown parameter variations is considered. A scheme is developed to detect and track such variation thereby tuning the observer m...
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The problem of designing reduced-order observers for linear discrete-time systems with unknown parameter variations is considered. A scheme is developed to detect and track such variation thereby tuning the observer m...
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The problem of designing reduced-order observers for linear discrete-time systems with unknown parameter variations is considered. A scheme is developed to detect and track such variation thereby tuning the observer matrices. The results are motivated by microprocessor estimation and control of experimental laboratory systems.
The design and implementation of microprocessor-based optimal controllers for the XM-97 helicopter turret control system is considered. Nonfiring and firing test results are presented. Significant performance improvem...
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A class of general structured discrete-time deterministic observers is developed. The one-step predicting or Luenberger observers and the current-update observers may be obtained from this class of general structured ...
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A class of general structured discrete-time deterministic observers is developed. The one-step predicting or Luenberger observers and the current-update observers may be obtained from this class of general structured ...
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A class of general structured discrete-time deterministic observers is developed. The one-step predicting or Luenberger observers and the current-update observers may be obtained from this class of general structured observers. Interesting relationships and important properties among various full-order observers are established. Optimal discrete-time observer gains are then derived, and it is shown that the optimal observers can be structually and numerically equivalent to various forms of Kalman filters.
This book introduces readers to power robot systems and their applications in the electric power industry. Specifically, the book delves into the research status, technological advancements, challenges encountered, an...
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ISBN:
(数字)9789819625123
ISBN:
(纸本)9789819625116;9789819625147
This book introduces readers to power robot systems and their applications in the electric power industry. Specifically, the book delves into the research status, technological advancements, challenges encountered, and future potential applications of power operation robots across various stages of power systems. The book provides the latest technological advancements, including in-depth analysis of power operation robots, research directions, and key contributions. Understanding how these robots enhance the monitoring and maintenance efficiency of power systems, mitigate failure risks, and address the challenges of operation and maintenance in complex and large-scale networks is crucial.
The topics covered in the book include mobile robot control, navigation, robotic arm control, inverse kinematics algorithms, image recognition, visual calibration, object grasping, and unmanned aerial robotic manipulation. The book is interwoven with practical application tasks typical of power industry, which are essential for mastering the design, application, and development trends of electric power robots.
The content is easy to understand and rich in information. This book can serve as a reference for researchers specializing in power system automation, robotics, control theory, and artificial intelligence. For professionals working in power companies, robot manufacturers, system integrators, and related industries, this book offers practical guidance and solutions. For educators teaching courses in electrical engineering, robotics, automation control, and artificial intelligence, this book provides up-to-date knowledge and real-world examples to enhance classroom engagement and teaching quality. For undergraduate students majoring in electrical engineering, automation, robotics, and related fields, this book can serve as supplementary reading material to expand their knowledge base and ignite their passion for science and technology.
This book presents the main achievements of the EuRoC (European robotics Challenges) project, which ran from 1st January,2014 to 30th June 2018 and was funded by the European Union under the 7th Framework Progra...
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ISBN:
(数字)9783030345075
ISBN:
(纸本)9783030345068;9783030345099
This book presents the main achievements of the EuRoC (European robotics Challenges) project, which ran from 1st January,2014 to 30th June 2018 and was funded by the European Union under the 7th Framework Programme. It describes not only the scientific and technological achievements of the project, but also the potential of the comparative challenge approach in robotics for knowledge advancement and technology transfer.
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