Artificial Intelligence in Real-time Control
| Author | : |
| Publisher | : |
| Total Pages | : 410 |
| Release | : 1994 |
| Genre | : Artificial intelligence |
| ISBN | : |
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Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Artificial Intelligence In Real Time Control PDF full book. Access full book title Artificial Intelligence In Real Time Control.
Artificial Intelligence in Real-Time Control 1991
| Author | : M.G. Rodd |
| Publisher | : Elsevier |
| Total Pages | : 181 |
| Release | : 2014-05-23 |
| Genre | : Technology & Engineering |
| ISBN | : 1483298108 |
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This set of proceedings contains the most significant papers presented at the third IFAC Workshop on Artificial Intelligence in Real-time Control, which was held from September 23-25, 1991 in the USA. In this workshop, although there were still some "exotic" applications, a more practical view of the applications and limitations of current AI technology dominated the participants' discussions. With its resultant focus on reliability and safety considerations, the workshop posed as many questions as it answered. It provides an excellent mirror of the current state-of-the-art which these proceedings are intended to illustrate.
Machine Learning Control – Taming Nonlinear Dynamics and Turbulence
| Author | : Thomas Duriez |
| Publisher | : Springer |
| Total Pages | : 211 |
| Release | : 2016-11-02 |
| Genre | : Technology & Engineering |
| ISBN | : 3319406248 |
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This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal control laws for linear dynamics (LQR, LQG). In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear control methods are shown to fail. Experimental control demonstrations from a laminar shear-layer to turbulent boundary-layers are reviewed in Chapter 6, followed by general good practices for experiments in Chapter 7. The book concludes with an outlook on the vast future applications of MLC in Chapter 8. Matlab codes are provided for easy reproducibility of the presented results. The book includes interviews with leading researchers in turbulence control (S. Bagheri, B. Batten, M. Glauser, D. Williams) and machine learning (M. Schoenauer) for a broader perspective. All chapters have exercises and supplemental videos will be available through YouTube.
Artificial Intelligence in Real-Time Control
| Author | : M. G. Rodd |
| Publisher | : Elsevier |
| Total Pages | : 159 |
| Release | : 2014-05-23 |
| Genre | : Technology & Engineering |
| ISBN | : 1483146898 |
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Artificial Intelligence in Real-Time Control documents the proceedings of the IFAC Workshop held in Clyne Castle, Swansea, UK, 21-23 September 1988. It includes two keynote addresses that discussed architectural issues for expert systems in real-time control; the problem of representing knowledge and reasoning; and the problems encountered in obtaining such information. Other papers contained in these proceedings are representative of the major research bodies active throughout the world in the application of AI techniques in real-time control, although it was inevitable that a Europe-based conference would highlight the work of the European groups. While AI is clearly still in the process of establishing itself, it is undoubtedly a major new area of engineering endeavor. Practical experience is still relatively limited, and many of the results discussed at this event were obtained through simulation or, in a few cases, from reduced practical experience. The importance, though, lies in the fact that many countries are pouring extensive resources into the attempt to control difficult processes by using AI techniques. The wide cross section of interest was demonstrated by the fact that many diverse industries were represented at the workshop—ranging from power-systems control to telecommunications, and into the steel industry.
Artificial Intelligence in Real-Time Control 1994
| Author | : A. Crespo |
| Publisher | : Elsevier |
| Total Pages | : 399 |
| Release | : 2014-06-28 |
| Genre | : Technology & Engineering |
| ISBN | : 1483296938 |
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Artificial Intelligence is one of the new technologies that has contributed to the successful development and implementation of powerful and friendly control systems. These systems are more attractive to end-users shortening the gap between control theory applications. The IFAC Symposia on Artificial Intelligence in Real Time Control provides the forum to exchange ideas and results among the leading researchers and practitioners in the field. This publication brings together the papers presented at the latest in the series and provides a key evaluation of present and future developments of Artificial Intelligence in Real Time Control system technologies.
Artificial Intelligence in Real-Time Control 1989
| Author | : Hua-Tian Li |
| Publisher | : Elsevier |
| Total Pages | : 127 |
| Release | : 2014-07-04 |
| Genre | : Technology & Engineering |
| ISBN | : 1483298337 |
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Papers presented at the workshop are representative of the state-of-the art of artificial intelligence in real-time control. The issues covered included the use of AI methods in the design, implementation, testing, maintenance and operation of real-time control systems. While the focus was on the fundamental aspects of the methodologies and technologies, there were some applications papers which helped to put emerging theories into perspective. The four main subjects were architectural issues; knowledge - acquisition and learning; techniques; and scheduling, monitoring and management.
Artificial Intelligence in Real-Time Control 1992
| Author | : M.G. Rodd |
| Publisher | : Elsevier |
| Total Pages | : 549 |
| Release | : 2014-06-28 |
| Genre | : Technology & Engineering |
| ISBN | : 1483299023 |
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The symposium had two main aims, to investigate the state-of-the-art in the application of artificial intelligence techniques in real-time control, and to bring together control system specialists, artificial intelligence specialists and end-users. Many professional engineers working in industry feel that the gap between theory and practice in applying control and systems theory is widening, despite efforts to develop control algorithms. Papers presented at the meeting ranged from the theoretical aspects to the practical applications of artificial intelligence in real-time control. Themes were: the methodology of artificial intelligence techniques in control engineering; the application of artificial intelligence techniques in different areas of control; and hardware and software requirements. This symposium showed that there exist alternative possibilities for control based on artificial intelligence techniques.
Artificial intelligence in real-time control
| Author | : Arend Johannes Krijgsman |
| Publisher | : |
| Total Pages | : 273 |
| Release | : 1993 |
| Genre | : |
| ISBN | : 9789090064970 |
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Artificial Intelligence for Robotics
| Author | : Francis X. Govers |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 336 |
| Release | : 2018-08-30 |
| Genre | : Computers |
| ISBN | : 1788835700 |
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Bring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book DescriptionArtificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot’s intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics.
Artificial Intelligence in Real-Time Control 1995
| Author | : J. Kocijan |
| Publisher | : Pergamon |
| Total Pages | : 334 |
| Release | : 1996-07-03 |
| Genre | : Computers |
| ISBN | : |
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The Sixth International IFAC Workshop on Artificial Intelligence in Real-Time Control was held in Slovenia in 1995 and provided a forum for leading researchers and practitioners in this field to exchange ideas and results. This postprint volume from the workshop contains all the papers presented there and features five plenary lectures by distinguished control/artificial intelligence scientists. The approaches covered in the papers include fuzzy control, artifical neural networks, expert systems and machine learning whilst the Technical Programme highlights a vareity of methods from artifical intelligence fields applied for control problems.
