Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Narri, Yadaiah"'
Autor:
Pinapilli Ramesh, Narri Yadaiah
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-22
This paper presents the design and development of Brain Emotional Learning based adaptive Type-2 Fuzzy Systems for control of dynamical systems. The BEL controller belongs to the class of bio inspired controllers, as its architecture is based on limb
Autor:
M.V. Srikanth, Narri Yadaiah
Publikováno v:
ISA Transactions. 131:693-714
This paper presents a set of tuning rules for second-order reduced linear active disturbance rejection control for second-Order Plus-Dead-time (SOPDT) models. Rules are developed with a target to achieve a good compromise between tracking and disturb
Autor:
Savarapu, Sridhar1 (AUTHOR) ssridhar229@gmail.com, Narri, Yadaiah2 (AUTHOR)
Publikováno v:
Journal of Supercomputing. Aug2021, Vol. 77 Issue 8, p8745-8766. 22p.
Publikováno v:
International Journal of Dynamics and Control. 9:1711-1729
This paper presents a new intelligent controller by inspiring the mammalian brain connections with various internal parts. Cerebrum, Cerebellum and brain stem are modeled to develop a new intelligent control scheme. There is a modular connection betw
Publikováno v:
IEEE Access, Vol 9, Pp 54420-54434 (2021)
The Photo-voltaic (PV) tied Z-source Neutral-point clamped multilevel inverter (Z-NPC-MLI) is used in solar grid connected applications due to its single stage conversion and better performance. Though the Z source inverters adaptation is accepted in
Autor:
M V Srikanth, Narri Yadaiah
Publikováno v:
2021 Seventh Indian Control Conference (ICC).
Autor:
Swetha Ramavath, Narri Yadaiah
Publikováno v:
2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON).
Autor:
Kotha Ravali, Narri Yadaiah
Publikováno v:
2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON).
Akademický článek
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Publikováno v:
2021 International Conference on Intelligent Technologies (CONIT).
This paper proposes space vector modulation (SVM) based direct torque control (DTC) of induction motor drive using Brain Emotional Controller (BEC). The limbic system of mammalian brain generates emotions by processing information in amygdala and orb