Dynamic Trajectory Planning And Self Tuning Adaptive Control Design For Industrial Robots
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Advanced Robot Control
Author | : János Somló |
Publisher | : Akademiai Kiads |
Total Pages | : 438 |
Release | : 1997 |
Genre | : Technology & Engineering |
ISBN | : |
Modern Robotics has a history of not more than 50 years. Robot science grew up in this period. The basic results of control of these devices were developed in the last 20 years. The authors of the present book summarize, in an original presentation, the most important results and add to those some new contributions. Among others, robot kinematics, trajectory planning, dynamics and control problems are discussed in detail. The new results include the original treatment of various kinematic and dynamic problems, time-optimal trajectory planning, model reference adaptive control, robot dynamic, model identification and self-tuning adaptive control, robotized manufacturing optimization and some others.
Adaptive Control of Mechanical Manipulators
Author | : John J. Craig |
Publisher | : Addison Wesley Publishing Company |
Total Pages | : 152 |
Release | : 1988 |
Genre | : Technology & Engineering |
ISBN | : |
Control and Dynamic Systems V28
Author | : C.T. Leonides |
Publisher | : Elsevier |
Total Pages | : 363 |
Release | : 2012-12-02 |
Genre | : Technology & Engineering |
ISBN | : 0323162681 |
Control and Dynamic Systems: Advances in Theory in Applications, Volume 28: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 1 of 3 discusses developments in algorithms and computational techniques for control and dynamic systems. This book presents algorithms and numerical techniques used for the analysis and control design of stochastic linear systems with multiplicative and additive noise. It also discusses computational techniques for the matrix pseudoinverse in minimum variance reduced-order filtering and control; decomposition technique in multiobjective discrete-time dynamic problems; computational techniques in robotic systems; reduced complexity algorithm using microprocessors; algorithms for image-based tracking; and modeling of linear and nonlinear systems. This volume will be an important reference source for practitioners in the field who are looking for techniques with significant applied implications.
Springer Handbook of Robotics
Author | : Bruno Siciliano |
Publisher | : Springer |
Total Pages | : 2259 |
Release | : 2016-07-27 |
Genre | : Technology & Engineering |
ISBN | : 3319325523 |
The second edition of this handbook provides a state-of-the-art overview on the various aspects in the rapidly developing field of robotics. Reaching for the human frontier, robotics is vigorously engaged in the growing challenges of new emerging domains. Interacting, exploring, and working with humans, the new generation of robots will increasingly touch people and their lives. The credible prospect of practical robots among humans is the result of the scientific endeavour of a half a century of robotic developments that established robotics as a modern scientific discipline. The ongoing vibrant expansion and strong growth of the field during the last decade has fueled this second edition of the Springer Handbook of Robotics. The first edition of the handbook soon became a landmark in robotics publishing and won the American Association of Publishers PROSE Award for Excellence in Physical Sciences & Mathematics as well as the organization’s Award for Engineering & Technology. The second edition of the handbook, edited by two internationally renowned scientists with the support of an outstanding team of seven part editors and more than 200 authors, continues to be an authoritative reference for robotics researchers, newcomers to the field, and scholars from related disciplines. The contents have been restructured to achieve four main objectives: the enlargement of foundational topics for robotics, the enlightenment of design of various types of robotic systems, the extension of the treatment on robots moving in the environment, and the enrichment of advanced robotics applications. Further to an extensive update, fifteen new chapters have been introduced on emerging topics, and a new generation of authors have joined the handbook’s team. A novel addition to the second edition is a comprehensive collection of multimedia references to more than 700 videos, which bring valuable insight into the contents. The videos can be viewed directly augmented into the text with a smartphone or tablet using a unique and specially designed app. Springer Handbook of Robotics Multimedia Extension Portal: http://handbookofrobotics.org/
Artificial Intelligence in Industrial Decision Making, Control and Automation
Author | : S.G. Tzafestas |
Publisher | : Springer Science & Business Media |
Total Pages | : 778 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 9401103054 |
This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.