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JournalISSN: 1746-6172

International Journal of Modelling, Identification and Control 

Inderscience Publishers
About: International Journal of Modelling, Identification and Control is an academic journal published by Inderscience Publishers. The journal publishes majorly in the area(s): Control theory & Computer science. It has an ISSN identifier of 1746-6172. Over the lifetime, 1262 publications have been published receiving 8861 citations. The journal is also known as: Modelling, identification and control & IJMIC.


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Journal ArticleDOI
TL;DR: Non-linear state estimation and some related topics like parametric estimation, fault diagnosis and perturbation attenuation are tackled here via a new methodology in numerical differentiation within the framework of differential algebra.
Abstract: Non-linear state estimation and some related topics like parametric estimation, fault diagnosis and perturbation attenuation are tackled here via a new methodology in numerical differentiation. The corresponding basic system theoretic definitions and properties are presented within the framework of differential algebra, which permits to handle system variables and their derivatives of any order. Several academic examples and their computer simulations, with online estimations, illustrate our viewpoint.

363 citations

Journal ArticleDOI
TL;DR: In this research work, a novel sliding mode control method is proposed for the global chaos synchronisation of identical chaotic systems and the general result derived is established using Lyapunov stability theory.
Abstract: Synchronisation of chaotic systems is an important research problem in chaos theory. In this research work, a novel sliding mode control method is proposed for the global chaos synchronisation of identical chaotic systems. The general result derived using novel sliding mode control method is established using Lyapunov stability theory. As an application of the general result, the problem of global chaos synchronisation of identical Zhu chaotic systems (2010) is studied and a new sliding mode controller is derived. Numerical simulations have been shown to illustrate the phase portraits of Zhu chaotic system and the sliding mode controller design for the global chaos synchronisation of identical Zhu chaotic systems.

154 citations

Journal ArticleDOI
TL;DR: This paper explores fault-tolerance in robot swarms through Failure Mode and Effect Analysis (FMEA) and reliability modelling and a case study of a wireless connected robot swarm, employing both simulation and real-robot laboratory experiments.
Abstract: The swarm intelligence literature frequently asserts that swarms exhibit high levels of robustness. That claim is, however, rather less frequently supported by empirical or theoretical analysis. But what do we mean by a 'robust' swarm? How would we measure the robustness or – to put it another way – fault-tolerance of a robotic swarm? These questions are not just of academic interest. If swarm robotics is to make the transition from the laboratory to real-world engineering implementation, we would need to be able to address these questions in a way that would satisfy the needs of the world of safety certification. This paper explores fault-tolerance in robot swarms through Failure Mode and Effect Analysis (FMEA) and reliability modelling. The work of this paper is illustrated by a case study of a wireless connected robot swarm, employing both simulation and real-robot laboratory experiments.

137 citations

Journal ArticleDOI
TL;DR: The novel 3-D chaotic system exhibits strong chaotic behaviour and the maximal Lyapunov exponent (MLE) for the novel polynomial chaotic system has been found to have a large value, viz.
Abstract: This research work introduces a six-term novel 3-D polynomial chaotic system with three quadratic nonlinearities. Phase portraits and detailed qualitative analysis of the polynomial novel chaotic system are described. Lyapunov exponents and Lyapunov dimension for the novel chaotic system have been obtained. The maximal Lyapunov exponent (MLE) for the novel polynomial chaotic system has been found to have a large value, viz. L1 = 10.2234. Thus, the novel 3-D chaotic system exhibits strong chaotic behaviour. New results are derived for the adaptive control and adaptive synchronisation of the novel 3-D polynomial chaotic system with unknown parameters using Lyapunov stability theory. MATLAB plots have been shown to illustrate the phase portraits of the novel 3-D chaotic system and the adaptive results derived in this paper.

126 citations

Journal ArticleDOI
TL;DR: This research work investigates the problem of sliding controller design for the global chaos synchronisation of identical nonlinear chaotic systems, and new results are derived using Lyapunov stability theory.
Abstract: In this research work, the problem of sliding controller design for the global chaos synchronisation of identical nonlinear chaotic systems is investigated and new results are derived using Lyapunov stability theory. The general result gives a procedure for constructing a sliding mode controller for achieving global chaos synchronisation for identical chaotic systems under certain assumptions. Next, the problem of sliding controller design for the global chaos synchronisation of identical Li-Wu chaotic systems (Li et al., 2013) is investigated and a new result is derived. The sliding controller design for identical Li-Wu chaotic systems is illustrated with MATLAB simulations.

119 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202389
2022134
202016
201952
201852
201759