Titlebook: Neural Information Processing; 25th International C Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa Conference proceedings 2018 Springer Nat

Granular

GEON

FLASK

Qichao Zhang,Dongbin Zhaon und mit dem rapiden technischen Fortschritt im Hardwarebereich Schritt halten zu k?nnen, wurde eine eigene Ingenieurdisziplin "Software-Engineering" notwendig. Das ingenieurm??ige Vorgehen soll sicherstellen, da? die Software-Herstellung termingerecht, kostengünstig, rationell und qualit?tsbewu?t

Compassionate

outset

0302-9743 ,?ICONIP 2018, held in Siem Reap, Cambodia, in December 2018..The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques acros

Enzyme

Prescribed Performance Control of Double-Fed Induction Generator with Uncertainties Compared with the full-order extended state observer, the reduced-order extended state observer reduces the adjustment parameters, which renders it easier to implement in practice. The effectiveness of proposed scheme is validated via theoretical analysis and simulations.

EXCEL

上漲

Multi-UAV Collaborative Monocular SLAM Focusing on Data Sharingstering to dynamically and adaptively select the order of map fusion that is more beneficial to data sharing between drones. Experimental results on popular public datasets demonstrate the feasibility and effectiveness of the system.

uncertain

Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two-Player Zero-Sum Game proposed, which guarantees the stability of the closed-loop system. The developed method can save the amount of computation as the control law and disturbance law that update only when the pre-designed triggering condition is violated. Finally, its effectiveness is verified through simulation results.

SCORE

A Learning Based Recovery for Damaged Snake-Like Robotsnal snake-like robots. The proposed method can guide snake-like robots to find compensation behavior in the absence of the pre-specified damage models. Our proposed method is evaluated by experiments in real world and various simulations.