Adaptive Control Of A Robot Arm Using Driver Programs

Adaptive control of a robot arm using driver programs

Proceedings

Annotation A collection of 55 papers presented at this gathering. A sampling of topics: selecting inputs and measuring nonlinearity in system identification, adaptive inverse control based on linear and nonlinear adaptive filtering, system identification using modular neural network with improved learning, asymptotic probability density of the generalization error, neuro-ASIC for low cost supervision of water pollution, high speed vision-based quality grading of oranges, new developments and applications of self-organizing maps, and new geometrical approach for blind separation of sources mapped to a neural network. No index. Annotation copyrighted by Book News, Inc., Portland, OR.

Computational Intelligent Techniques in Mechatronics

This book, set against the backdrop of huge advancements in artificial intelligence and machine learning within mechatronic systems, serves as a comprehensive guide to navigating the intricacies of mechatronics and harnessing its transformative potential. Mechatronics has been a revolutionary force in engineering and medical robotics over the past decade. It will lead to a major industrial revolution and affect research in every field of engineering. This book covers the basics of mechatronics, computational intelligence approaches, simulation and modeling concepts, architectures, nanotechnology, real-time monitoring and control, different actuators, and sensors. The book explains clearly and comprehensively the engineering design process at different stages. As the historical divisions between the various branches of engineering and computer science become less clearly defined, mechatronics may provide a roadmap for nontraditional engineering students studying within the traditional university structure. This book covers all the algorithms and techniques found in mechatronics engineering, well explained with real-time examples, especially lab experiments that will be very informative to students and scholars. Audience This resource is important for R & D departments in academia, government, and industry. It will appeal to mechanical engineers, electronics engineers, computer scientists, robotics engineers, professionals in manufacturing, automation and related industries, as well as innovators and entrepreneurs.