Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kamran Mohajeri"'
Publikováno v:
IET Cyber-Physical Systems, Vol 8, Iss 3, Pp 131-148 (2023)
Abstract Models and control techniques for networked control systems (NCSs) can be divided into continuous‐time and discrete‐time types. Unlike the continuous‐time analysis, literature on discrete‐time analysis and control of NCSs under packe
Externí odkaz:
https://doaj.org/article/a8a15bf58cec4469a6cea625d7047450
Publikováno v:
INCAS Bulletin, Vol 13, Iss 3, Pp 91-106 (2021)
This paper deals with the analysis of the stability of networked control systems (NCS). In NCS, the signal transmission between the plant and the controller is done through a communication network. Usually, this data transmission faces packet delay a
Externí odkaz:
https://doaj.org/article/ab365b0e8731488881620c296940a1c6
Publikováno v:
INCAS Bulletin, Vol 13, Iss 3, Pp 91-106 (2021)
This paper deals with the analysis of the stability of networked control systems (NCS). In NCS, the signal transmission between the plant and the controller is done through a communication network. Usually, this data transmission faces packet delay a
Publikováno v:
International Journal of Systems Science. 52:1987-2002
This paper introduces a discrete-time technique for output feedback tracking control with aperiodic sampling over networks suffering delay and dropout. Introducing the concept of pseudo sampling, N...
Publikováno v:
CIRA
Cerebellar Model Articulation Controller (CMAC) NN is a computational model of cerebellum introduced as an alternative to backpropagated multilayer networks to control robot arms. From then it has seen many improvements and has been applied in many o
Publikováno v:
FUZZ-IEEE
Cerebellum Model Articulation Controller (CMAC) is known as a feedforward Neural Network (NN) with fast learning and performance. Many improvements have been introduced to it which fuzzy CMAC (FCMAC) is the most important one. Fuzzy CMAC as a neuro f
Publikováno v:
CIMCA/IAWTIC/ISE
CMAC computational model that is based on the cerebellum structure is known as a Neural Network with high computation and learning speed. Fuzzy CMAC, by introducing fuzzy reasoning to CMAC, converts it from a black box to a white box whose performanc