Observer based guaranteed cost control for Markovian jump stochastic neutral-type neural networks

S.A. Karthick, R. Sakthivel, Y.K. Ma and A. Leelamani

Chaos, Solitons & Fractals, 2020, vol. 133, issue C

Abstract: Based on observer framework, this paper examines the reliable sampled-data actuator fault controller for stochastic neural networks of neutral-type along with Markovian jump parameters and time-varying delays. In particular, the main intention of this work is to obtain the reliable state feedback guaranteed cost controller with satisfactory mixed H∞ and passivity performance index. Particularly, a more generalized randomly occurring fault model is incorporated in the given quadratic cost function, where the faults of each and every actuator are represented by stochastic variables with some satisfactory probability conditions. By applying a proper Lyapunov-Krasovskii-functional along with neuron activation functions, a newly established conditions are captured to assure the stochastic stability of the considered model. Further an adequate performance index can be compared by solving the developed linear matrix inequalities. Furthermore, the effectiveness and the impact of the cost function based control scheme is tested through simulation results.

Keywords: Neutral-type neural networks; Guaranteed cost control; Stochastic reliable control; Markovian jump parameters (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077920300205
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:133:y:2020:i:c:s0960077920300205

DOI: 10.1016/j.chaos.2020.109621

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().