Web-based control and robotics education by Spyros G. Tzafestas (auth.), Spyros Tzafestas (eds.)
By Spyros G. Tzafestas (auth.), Spyros Tzafestas (eds.)
The improvement of the net and world-wide-web know-how has inspired the creation of recent methods for distance studying and schooling. This publication presents a well timed and cohesive set of contributions that current methodologies, applied sciences and functional instruments for educating keep an eye on and robot platforms research and layout over the internet. it's the first booklet of its style up to speed and robotics schooling.
The emphasis is put on the 2 significant ability for web-based keep an eye on and robotics schooling, viz. digital labs and telelabs. In a digital lab the distant scholar can use a simulation/animation of the process less than regulate for the experiments, while in a telelab the scholar can remotely behavior actual actual experiments through the internet.
The booklet contains adequate heritage and overview fabric and investigates necessary new instruments and most sensible practices verified by way of numerous case-studies in lots of educational environments lower than numerous academic stipulations and requisites.
The e-book goals to reinforce technological and academic talents with the final word aim to motivate web-based keep watch over and robotics studying.
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Additional info for Web-based control and robotics education
Yu, B. Chen, H. H. Cheng, Web-based control system design and analysis: Design, implementation, and salient features, IEEE Control Systems Magazine, Vol. 24, No. 3, pp. com/webservices/control. 26. C. Martin, A. Urquia, S.
H. Cheng, Web-based control system design and analysis: Design, implementation, and salient features, IEEE Control Systems Magazine, Vol. 24, No. 3, pp. com/webservices/control. 26. C. Martin, A. Urquia, S.
1 shows the ARX parameters and their standard deviations found for UDP when (n, m, nd ) = (6,6,1). 2. Comparing the model output yˆ (k q ), where q are the parameters of the ARX model (n, m, nd ) = (20,20,1) , it follows that they almost coincide. The slight difference is due to that the end-to-end packet delay variation is distributed by some other unknown traffic not included in the model output yˆ (k ). The model for the UDP + TCP case showed visibly better performance compared to the pure UDP case.