Most recent issue published online in the International Journal of Systems, Control and Communications.
International Journal of Systems, Control and Communications
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International Journal of Systems, Control and Communications
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International Journal of Systems, Control and Communications
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http://www.inderscience.com/browse/index.php?journalID=287&year=2024&vol=15&issue=1
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Synchronisation scheme for cluster-based interconnected network of nonlinear systems
http://www.inderscience.com/link.php?id=135176
The work presented here addresses cluster synchronisation for a class of nonlinear systems using Lyapunov stability theory with nonlinearities satisfying Lipschitz condition. Generally, Lyapunov stability-based adaptive nonlinear control techniques are used to design the controller for nonlinear systems. These techniques are also utilised to address synchronisation in complex interconnected systems. The cluster synchronisation in a complex network of different nonlinear systems is achieved when each state of system of one cluster is synchronised to every corresponding state system of other cluster. Here, using Lyapunov stability theory, a general criterion for cluster synchronisation is obtained. For meeting the goal of synchronisation, bidirectional connections within a cluster and across the clusters are considered. To achieve the results, nonlinearities are assumed to satisfy Lipschitz conditions. The appropriate design of gains for within cluster and across the cluster coupling using Lyapunove stability theory, along with application of Barbalat's lemma, ensure synchronisation of an overall network consisting clusters of dissimilar nonlinear systems. Numerical simulation are presented further for example systems belonging to the considered class of nonlinear systems to verify the efficacy of the proposed approach. For this purpose, cluster of chaotic Lorenz and Lu systems are considered as part of complex network.
Synchronisation scheme for cluster-based interconnected network of nonlinear systems
Akshay Kumar Jaiswal; Bharat Bhushan Sharma
International Journal of Systems, Control and Communications, Vol. 15, No. 1 (2024) pp. 1 - 16
The work presented here addresses cluster synchronisation for a class of nonlinear systems using Lyapunov stability theory with nonlinearities satisfying Lipschitz condition. Generally, Lyapunov stability-based adaptive nonlinear control techniques are used to design the controller for nonlinear systems. These techniques are also utilised to address synchronisation in complex interconnected systems. The cluster synchronisation in a complex network of different nonlinear systems is achieved when each state of system of one cluster is synchronised to every corresponding state system of other cluster. Here, using Lyapunov stability theory, a general criterion for cluster synchronisation is obtained. For meeting the goal of synchronisation, bidirectional connections within a cluster and across the clusters are considered. To achieve the results, nonlinearities are assumed to satisfy Lipschitz conditions. The appropriate design of gains for within cluster and across the cluster coupling using Lyapunove stability theory, along with application of Barbalat's lemma, ensure synchronisation of an overall network consisting clusters of dissimilar nonlinear systems. Numerical simulation are presented further for example systems belonging to the considered class of nonlinear systems to verify the efficacy of the proposed approach. For this purpose, cluster of chaotic Lorenz and Lu systems are considered as part of complex network.]]>
10.1504/IJSCC.2024.135176
International Journal of Systems, Control and Communications, Vol. 15, No. 1 (2024) pp. 1 - 16
Akshay Kumar Jaiswal
Bharat Bhushan Sharma
Department of Electrical Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India ' Department of Electrical Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India
cluster synchronisation
complex dynamic network
Lyapunov stability
Lipschitz condition
2023-12-01T23:20:50-05:00
Copyright © 2023 Inderscience Enterprises Ltd.
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1
16
2023-12-01T23:20:50-05:00
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Approximation of fractional-order MIMO system - a unified approach
http://www.inderscience.com/link.php?id=135177
In this paper, a method is presented to approximate a class of fractional-order multiple-input multiple-output (MIMO) system in discrete-delta domain. The modelling approach is unconventional in the sense that it does not encompass the traditional generating functions for approximating the fractional-order MIMO system. Instead, the novel delta operator has been endorsed for accomplishing the approximation as it facilitates the unified representation of both the continuous-time system and discrete-time system together. The transfer function matrix (TFM) of the continuous-time fractional-order MIMO system is derived in the first stage. The TFM is approximated in the next stage using delta operator and the continued fraction expansion (CFE) method. The approximation technique has been illustrated by taking suitable example.
Approximation of fractional-order MIMO system - a unified approach
Jaydeep Swarnakar
International Journal of Systems, Control and Communications, Vol. 15, No. 1 (2024) pp. 17 - 35
In this paper, a method is presented to approximate a class of fractional-order multiple-input multiple-output (MIMO) system in discrete-delta domain. The modelling approach is unconventional in the sense that it does not encompass the traditional generating functions for approximating the fractional-order MIMO system. Instead, the novel delta operator has been endorsed for accomplishing the approximation as it facilitates the unified representation of both the continuous-time system and discrete-time system together. The transfer function matrix (TFM) of the continuous-time fractional-order MIMO system is derived in the first stage. The TFM is approximated in the next stage using delta operator and the continued fraction expansion (CFE) method. The approximation technique has been illustrated by taking suitable example.]]>
10.1504/IJSCC.2024.135177
International Journal of Systems, Control and Communications, Vol. 15, No. 1 (2024) pp. 17 - 35
Akshay Kumar Jaiswal
Bharat Bhushan Sharma
Department of Electronics and Communication Engineering, North-Eastern Hill University, Shillong-793022, Meghalaya, India
fractional-order system
FOS
multiple-input multiple-output
MIMO
delta operator
continued fraction expansion
CFE
transfer function matrix
TFM
2023-12-01T23:20:50-05:00
Copyright © 2023 Inderscience Enterprises Ltd.
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1
17
35
2023-12-01T23:20:50-05:00
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Clock synchronisation method for wireless sensor networks based on phase compensation
http://www.inderscience.com/link.php?id=135178
Aiming at the problems of large phase estimation error and large synchronisation time overhead in clock synchronisation method, a clock synchronisation method for wireless sensor networks (WSN) based on phase compensation is proposed. Firstly, the synchronisation deviation value is determined by calculating the broadcast information frame of general nodes, and the instability factor and clock synchronisation delay are extracted to determine the influencing factors of clock synchronisation. Then, the wireless sensor is set as an undirected graph, and the updated node state is consistent through the linear model. Finally, the local clock change frequency is determined by the least square method, the clock synchronisation compensation estimator is determined by the calculation of slope, the updated network topology of nodes is replaced, and the bounded condition of phase compensation is set to complete clock synchronisation. The experimental results show that the proposed method has small phase estimation error and small synchronisation time overhead.
Clock synchronisation method for wireless sensor networks based on phase compensation
Bin Liu
International Journal of Systems, Control and Communications, Vol. 15, No. 1 (2024) pp. 36 - 47
Aiming at the problems of large phase estimation error and large synchronisation time overhead in clock synchronisation method, a clock synchronisation method for wireless sensor networks (WSN) based on phase compensation is proposed. Firstly, the synchronisation deviation value is determined by calculating the broadcast information frame of general nodes, and the instability factor and clock synchronisation delay are extracted to determine the influencing factors of clock synchronisation. Then, the wireless sensor is set as an undirected graph, and the updated node state is consistent through the linear model. Finally, the local clock change frequency is determined by the least square method, the clock synchronisation compensation estimator is determined by the calculation of slope, the updated network topology of nodes is replaced, and the bounded condition of phase compensation is set to complete clock synchronisation. The experimental results show that the proposed method has small phase estimation error and small synchronisation time overhead.]]>
10.1504/IJSCC.2024.135178
International Journal of Systems, Control and Communications, Vol. 15, No. 1 (2024) pp. 36 - 47
Akshay Kumar Jaiswal
Bharat Bhushan Sharma
Library, Hunan College of Information, ChangSha, 410000, China
phase compensation
WSN
clock synchronisation
phase estimation
linear model
least square method
2023-12-01T23:20:50-05:00
Copyright © 2023 Inderscience Enterprises Ltd.
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36
47
2023-12-01T23:20:50-05:00
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Review and analysis for state-of-the-art NLP models
http://www.inderscience.com/link.php?id=135183
Natural language processing (NLP) is an area of research and study that makes it possible for computers to comprehend human language by utilising software engineering concepts from computer science and artificial intelligence. This work presents seven classifications and 21 state-of-the-art models with a survey of the operating principles. We also provide a comparative study of all models based on metrics such as accuracy, F1 score, exact match, squad scores, glue and superglue dataset scores.
Review and analysis for state-of-the-art NLP models
Subrit Dikshit; Rahul Dixit; Abhiram Shukla
International Journal of Systems, Control and Communications, Vol. 15, No. 1 (2024) pp. 48 - 78
Natural language processing (NLP) is an area of research and study that makes it possible for computers to comprehend human language by utilising software engineering concepts from computer science and artificial intelligence. This work presents seven classifications and 21 state-of-the-art models with a survey of the operating principles. We also provide a comparative study of all models based on metrics such as accuracy, F1 score, exact match, squad scores, glue and superglue dataset scores.]]>
10.1504/IJSCC.2024.135183
International Journal of Systems, Control and Communications, Vol. 15, No. 1 (2024) pp. 48 - 78
Subrit Dikshit
Rahul Dixit
Abhiram Shukla
Department of Computer Science and Engineering, Indian Institute of Information Technology, Pune, India ' Department of Computer Science and Engineering, Indian Institute of Information Technology, Pune, India ' Department of Civil Engineering, Indian Institute of Technology, Kanpur, India
artificial intelligence
AI
natural language processing
NLP
2023-12-01T23:20:50-05:00
Copyright © 2023 Inderscience Enterprises Ltd.
15
1
48
78
2023-12-01T23:20:50-05:00
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Dynamic framework towards sustainable and energy-efficient routing in delay tolerant IoT-based WSNs
http://www.inderscience.com/link.php?id=135187
In wireless communication, energy efficiency is a crucial consideration. Wireless sensor networks (WSNs) are made up of a large number of sensor nodes scattered across a wide geographic area. When WSNs and the internet of things (IoT) come together, they create a complex network with interconnected devices of heterogeneous type. Energy restoration becomes crucial in order to prolong network lifespan and avoid sensor node (SN) failures. In order to overcome delays, a protocol that reduces energy loss while enhancing overall network performance is crucial. In this paper, we suggest the strategic cluster head selection (SCHS) model, a unique strategy for dealing with the task of choosing the best cluster head (CH) as a linear programming problem. Comparative simulations show that SCHS performs better than popular protocols like LEACH and PEGASIS in terms of average energy consumption, SN residual energy, sensing energy, and average network delay.
Dynamic framework towards sustainable and energy-efficient routing in delay tolerant IoT-based WSNs
Sujit Bebortta; Sumanta Kumar Singh; Mamata Rath; Tanmay Mukherjee
International Journal of Systems, Control and Communications, Vol. 15, No. 1 (2024) pp. 79 - 94
In wireless communication, energy efficiency is a crucial consideration. Wireless sensor networks (WSNs) are made up of a large number of sensor nodes scattered across a wide geographic area. When WSNs and the internet of things (IoT) come together, they create a complex network with interconnected devices of heterogeneous type. Energy restoration becomes crucial in order to prolong network lifespan and avoid sensor node (SN) failures. In order to overcome delays, a protocol that reduces energy loss while enhancing overall network performance is crucial. In this paper, we suggest the strategic cluster head selection (SCHS) model, a unique strategy for dealing with the task of choosing the best cluster head (CH) as a linear programming problem. Comparative simulations show that SCHS performs better than popular protocols like LEACH and PEGASIS in terms of average energy consumption, SN residual energy, sensing energy, and average network delay.]]>
10.1504/IJSCC.2024.135187
International Journal of Systems, Control and Communications, Vol. 15, No. 1 (2024) pp. 79 - 94
Sujit Bebortta
Sumanta Kumar Singh
Mamata Rath
Tanmay Mukherjee
Department of Computer Science, Ravenshaw University, Cuttack, Odisha, 753003, India ' Department of Computer Science and Engineering, Gandhi Institute for Education and Technology, Odisha, 751001, India ' Department of Computer Science and Engineering, DRIEMS (Autonomous) College, Cuttack 754025, Odisha, India ' Department of Computer Science and Engineering, Siksha 'O' Anusandhan (Deemed to be) University, Bhubaneswar, 751030, India
internet of things
IoT
wireless sensor network
WSN
energy efficiency
delay tolerance
clustering
2023-12-01T23:20:50-05:00
Copyright © 2023 Inderscience Enterprises Ltd.
15
1
79
94
2023-12-01T23:20:50-05:00