Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Sabo Miya Hassan"'
Publikováno v:
IEEE Access, Vol 5, Pp 25885-25896 (2017)
In networked control system, such as WirelessHART that is characterized by stochastic delay, the use of proportional integral and differential (PID) controllers is inadequate. This is because PID performs poorly in handling time-delay processes. The
Externí odkaz:
https://doaj.org/article/70aff855d90b42a78c9fc0be1344e495
Autor:
Tran, Chung Duc, Ibrahim, Rosdiazli, Asirvadam, Vijanth Sagayan, Saad, Nordin, Sabo Miya, Hassan
Publikováno v:
In ISA Transactions April 2018 75:236-246
Autor:
Vivekananda Rajah Harindran, Kishore Bingi, Rosdiazli Ibrahim, Mohd Noh Karsiti, Sabo Miya Hassan
Publikováno v:
International Journal of Applied Metaheuristic Computing. 11:133-150
Fractional-order systems and controllers have been extensively used in many control applications to achieve robust modeling and controlling performance. To implement these systems, curve fitting based integer-order transfer function estimation techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32a24031c480da7482405372ad98fb8f
https://doi.org/10.4018/ijamc.2020070108
https://doi.org/10.4018/ijamc.2020070108
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 37:597-610
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48391a7b7298a0ed3e7cd36abd29c572
https://doi.org/10.3233/jifs-171288
https://doi.org/10.3233/jifs-171288
Publikováno v:
Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems ISBN: 9783030477363
This chapter presents the development of SW and adaptive SW controller for WHNCS. The SW technique is a powerful and simple method based on the feed-forward strategy. The advantage of this method is that it can be employed to improve systems performa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::917721a5274e8332af4af4510085ac10
https://doi.org/10.1007/978-3-030-47737-0_3
https://doi.org/10.1007/978-3-030-47737-0_3
Publikováno v:
Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems ISBN: 9783030477363
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec5432701dcbd3609c579f0d190bf634
https://doi.org/10.1007/978-3-030-47737-0_1
https://doi.org/10.1007/978-3-030-47737-0_1
Publikováno v:
Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems ISBN: 9783030477363
The accelerated particle swarm optimisation (APSO) is an improved variant of the PSO algorithm that guarantees convergence through the use of only global best to update both velocity and position of particles.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a566cd6ac53e9f3f5a095578c1a37a3
https://doi.org/10.1007/978-3-030-47737-0_4
https://doi.org/10.1007/978-3-030-47737-0_4
Publikováno v:
Studies in Systems, Decision and Control ISBN: 9783030477363
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1b109a670e0cdb8720dff4938618649
https://doi.org/10.1007/978-3-030-47737-0
https://doi.org/10.1007/978-3-030-47737-0
Publikováno v:
Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems ISBN: 9783030477363
The aim of this chapter is to propose improvement to the adaptation of bacterial foraging algorithm (BFA) and to hybridize it with accelerated particle swarm optimization (APSO) in order to accelerate its convergence. In the proposed algorithm, the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3620cf4105ee2be9c1b2ae6482b30d20
https://doi.org/10.1007/978-3-030-47737-0_5
https://doi.org/10.1007/978-3-030-47737-0_5
Autor:
Kishore Bingi, Rosdiazli Ibrahim, Mohd Noh Karsiti, Sabo Miya Hassan, Vivekananda Rajah Harindran
Publikováno v:
Studies in Systems, Decision and Control ISBN: 9783030339333
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42864e19e92c7a07928eb13bf720f575
https://doi.org/10.1007/978-3-030-33934-0
https://doi.org/10.1007/978-3-030-33934-0