SNEER 发表于 2025-3-30 09:47:27
Stephen White,John Gardner,Tony Saicholler in simulation. Using the designed control architecture, the sufficient robust stable conditions are derived in the presence of uncertainties of modelling and measurement errors, and the control output tracking performance is also realized.nonplus 发表于 2025-3-30 15:05:46
http://reply.papertrans.cn/15/1492/149149/149149_52.pngGlycogen 发表于 2025-3-30 18:58:18
National Socialism and Social Capital,. The Lyapunov-krasovskii functionals (LKFs) are utilized to eliminate and compensate the effect of unknown functions with time-varying delayed states in communication channels. By using the Lyapunov analysis, the stability of closed-loop systems is proven.管理员 发表于 2025-3-31 00:36:20
http://reply.papertrans.cn/15/1492/149149/149149_54.png构想 发表于 2025-3-31 01:29:37
http://reply.papertrans.cn/15/1492/149149/149149_55.pngSerenity 发表于 2025-3-31 06:22:43
0302-97432017, held in Sapporo, Hakodate, and Muroran, Hokkaido, Japan, in June 2017..The 135 revised full papers presented in this two-volume set were carefully reviewed and selected from 259 submissions. The papers cover topics like perception, emotion and development, action and motor control, attractor发牢骚 发表于 2025-3-31 11:45:35
https://doi.org/10.1007/978-1-349-14514-0e precise total demanded power is unavailable and there involve modeling uncertainties as well as external disturbances. To address the issue of unknown power trajectory, an analytical model is proposed to reconstruct the unknown desired power profile. Neural network based control scheme is developed to ensure stable power tracking.散开 发表于 2025-3-31 16:55:45
Communists in the Face of Fascists,neural networks to approximate control vectors and performance index function. Finally, this paper focuses on an example simulated on Matlab, which verifies the excellent convergence of the mentioned algorithm and feasibility of this scheme.Reverie 发表于 2025-3-31 18:08:18
https://doi.org/10.1007/978-1-349-14514-0is compensated by NN based identification. To illustrate the validity of the proposed controller, numerical simulation is performed and the comparison between the NN based controller and a conventional proportional-derivative (PD) controller is conducted.