Artificial Intelligence in Real-Time Control 1994


Book Description

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 (AIRTC-2000)


Book Description

This Proceedings contains the papers presented at the 9th IFAC AIRTC'2000 Symposium on Artificial Intelligence in Real-Time Control 2000, held at Budapest Polytechnic, Hungary, on 2 - 4 October. AIRTC'2000 builds on the excellent reputation of previous meetings in the series for providing top-quality papers in this important research field. A positive development illustrated by this Proceedings is a new trend towards pragmatism in the research field. Examples of this trend are: an increase in the number of actual industrial applications; support for more widespread use of new sophisticated technologies (e.g. materials design); further intertwining of artificial intelligence and control theory methods that reduces the reliance on blind faith, still too often associated with AI methods. Many things have changed since the first AIRTC event in 1988. Two examples illustrate the change in the general attitude of the IFAC family: in 1990, one of the major closing presentations of the IFAC World Congress warned the control community about the coming hordes of AI people. In 1999, one of the plenary papers at the IFAC World Congress pointed out that the AI based methods form a natural extension of control theory to the class of non-linear systems with incomplete information (at least as far as the optimisation is concerned). This contrast in attitudes shows how, during the past decade, many AI people have embraced control theory and many control people have learned the basics of AI. This Proceedings serves to continue this excellent dialogue, by providing many quality papers which link both fields.







Artificial Intelligence in Real-Time Control 1995


Book Description

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.




Artificial Intelligence in Real-time Control 1997 (AIRTC'97)


Book Description

Paperback. The Symposium on Artificial Intelligence in Real-Time Control 97 (AIRTC '97) was the seventh in the series of symposia and workshops under the sponsorship of the International Federation of Automatic Control's (IFAC) Co-ordinating Committee in Computer Control and of the Technical Committee on Artificial Intelligence in Real-Time Control.Artificial Intelligence methods, including expert systems, artificial neural networks, fuzzy systems and genetic algorithms, are penetrating almost every field of engineering. These methods have shown their possible application in control, monitoring and supervising tasks which are difficult or impossible to solve when using conventional techniques. We have now come to a stage where there is a need to discuss and present these methods in a broader framework, not only showing their concepts and available algorithms, but also their relative benefits, advantages and disadvantages. This was the purpose of th




Computer-Assisted Management and Control of Manufacturing Systems


Book Description

Modem manufacturing systems involve many processes and operations that can be monitored and controlled at several levels of intelligence. At the highest level there is a computer that supervises the various manufacturing functions, whereas at the lowest level there are stand alone computer controlled systems of manufacturing processes and robotic cells. Until recenty computer-aided manufacturing systems constituted isolated "islands" of automation, each oriented to a particular application, but present day systems offer integrated approaches to manufacturing and enterprise operations. These modem systems, known as computer-integrated manufacturing (CIM) systems, can easily meet the current performance and manufacturing competitiveness requirements under strong environmental changes. CIM systems are much of a challenge, and imply a systemic approach to the design and operation of a manufacturing enterprise. Actualy, a CIM system must take into account in a unified way the following three views : the user view, the technology view, and the enterprise view. This means that CIM includes both the engineering and enterprise planning and control activities, as well as the information flow activities across all the stages of the system.




Neural Systems for Robotics


Book Description

Neural Systems for Robotics represents the most up-to-date developments in the rapidly growing aplication area of neural networks, which is one of the hottest application areas for neural networks technology. The book not only contains a comprehensive study of neurocontrollers in complex Robotics systems, written by highly respected researchers in the field but outlines a novel approach to solving Robotics problems. The importance of neural networks in all aspects of Robot arm manipulators, neurocontrol, and Robotic systems is also given thorough and in-depth coverage. All researchers and students dealing with Robotics will find Neural Systems for Robotics of immense interest and assistance. Focuses on the use of neural networks in robotics-one of the hottest application areas for neural networks technology Represents the most up-to-date developments in this rapidly growing application area of neural networks Contains a new and novel approach to solving Robotics problems




Balanced Automation Systems


Book Description

Towards Balanced Automation The concept. Manufacturing industries worldwide are facing tough challenges as a consequence of the globalization of economy and the openness of the markets. Progress of the economic blocks such as the European Union, NAFTA, and MERCOSUR, and the global agreements such as GATT, in addition to their obvious economic and social consequences, provoke strong paradigm shifts in the way that the manufacturing systems are conceived and operate. To increase profitability and reduce the manufacturing costs, there is a recent tendency towards establishing partnership links among the involved industries, usually between big industries and the networks of components' suppliers. To benefit from the advances in technology, similar agreements are being established between industries and universities and research institutes. Such an open tete-cooperation network may be identified as an extended enterprise or a virtual enterprise. In fact, the manufacturing process is no more carried out by a single enterprise, rather each enterprise is just a node that adds some value (a step in the manufacturing chain) to the cooperation network of enterprises. The new trends create new scenarios and technological challenges, especially to the Small and Medium size Enterprises (SMEs) that clearly comprise the overwhelming majority of manufacturing enterprises worldwide. Under the classical scenarios, these SMEs would have had big difficulties to access or benefit from the state of the art technology, due to their limited human, financial, and material resources.




Modelling and Planning for Sensor Based Intelligent Robot Systems


Book Description

This edited and reviewed volume consists of papers that were originally presented at a workshop in the Scientific Center at Schloss Dagstuhl, Germany. It gives an overview of the field and presents the latest developments in the areas of modeling and planning for sensor based robots. The particular topics addressed include active vision, sensor fusion, environment modeling, motion planning, robot navigation, distributed control architectures, reactive behavior, and others.