Titlebook: Advances in Neural Networks - ISNN 2004; International Sympos Fu-Liang Yin,Jun Wang,Chengan Guo Conference proceedings 2004 Springer-Verlag

美麗的寫

Nutrient

抱負

Qingqin Xu,Zhong Li,Teng Wu,Jie Zengf an underwater plant is used to prove the effectiveness of the scheme and the simulation shows that the dynamic performance of the oxygen control is greatly improved by this neural combined control system.

舉止粗野的人

oxidant

Xin Su,Xiaofeng Lin,Jie Zeng,Chiyang Xiaoons of a set of coupled LMIs. Applying common back propagation algorithm (BP) for networks training and interior point computation for LMI solving, some simulation results show the validity of pole placement control.

籠子

鉆孔

https://doi.org/10.1007/978-1-84628-645-2t control. A novel fuzzy neural network is proposed to realize the nonlinear mapping model effectively, which is essential to implement six-degree-of-freedom control of robot hand. Simulation results show the performance of the proposed method.

僵硬

https://doi.org/10.1007/978-1-84628-645-2uct the composite control, where an adaptive NF inference system is employed to approximate the inverse dynamics of the space robot. Finally, an example is employed to illustrate the validity of the proposed control scheme.

消瘦

Foolproof

https://doi.org/10.1007/978-3-031-34790-0s are also proposed to guarantee the global convergence. Numeral experiments for controlling speeds of ultrasonic motors show that the TDRNN has good effectiveness in identification and control for dynamic systems.