结果
发表于 2025-3-23 13:29:38
Biologically Inspired Neural Behavioral Control of the Wheeled Mobile Robotired trajectory realized by the neural control algorithm, implemented on the lower level of the hierarchy. Correctness of the solution of the desired trajectory generator and the control system of the elementary robot behavior has been confirmed in numerical simulations.
跟随
发表于 2025-3-23 17:37:53
http://reply.papertrans.cn/17/1665/166484/166484_12.png
安抚
发表于 2025-3-23 21:28:21
Lynette Kvasny,Eileen M. Trauthesentative point of the plant to a specific reference point obtained from the model. As a result, residual effect of past uncertainties on sliding motion of the system is eliminated. Furthermore, model reference approach allows one to bypass the assumption about matching conditions, which is otherwise necessary in many cases.
facetious
发表于 2025-3-23 23:33:59
http://reply.papertrans.cn/17/1665/166484/166484_14.png
AVOW
发表于 2025-3-24 04:29:12
http://reply.papertrans.cn/17/1665/166484/166484_15.png
poliosis
发表于 2025-3-24 06:40:03
Advantages of Using a Reference Model of the Plant in Discrete-Time Sliding Mode Controlesentative point of the plant to a specific reference point obtained from the model. As a result, residual effect of past uncertainties on sliding motion of the system is eliminated. Furthermore, model reference approach allows one to bypass the assumption about matching conditions, which is otherwise necessary in many cases.
草本植物
发表于 2025-3-24 10:45:38
Robustness Analysis of a Distributed MPC Control System of a Turbo-Generator Set of a Nuclear Plant res algorithm. A robustness analysis of the control system with respect to different disturbances is presented in the paper. There are various configurations considered, such as change in disturbance levels from the side of electrical and thermal systems, or changes in prediction horizons.
GREEN
发表于 2025-3-24 15:06:07
State and Control Signal Limitations in Discrete Time Sliding Mode Control with Time Varying System’. These conditions have the linear forms, therefore they can be easily verified, using the linear optimization methods. The results extend our previous research on this issue. The comparison is depicted in the simulation example.
gregarious
发表于 2025-3-24 19:19:34
http://reply.papertrans.cn/17/1665/166484/166484_19.png
Accolade
发表于 2025-3-25 01:36:08
Water Science and Technology Librarys. The aim of the conducted research was to determine whether this algorithm is resistant to the change of the examined parameters. Such research is important from the point of view of possibility of applying following algorithm in a real factory.