Forthcoming and Online First Articles

International Journal of Nonlinear Dynamics and Control

International Journal of Nonlinear Dynamics and Control (IJNDC)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Nonlinear Dynamics and Control (4 papers in press)

Regular Issues

  • Event-Triggered Cooperative Strategy Design for a Class of Heterogeneous High Order Multi-Agent Systems under Switching Topology   Order a copy of this article
    by Reza Ghasemi, Elham Yaseliani 
    Abstract: This paper deals with the event-triggered leader-follower consensus of the heterogeneous multi-agent systems (MAS) under the undirected switching topology in which the agents have dissimilar dynamics. A novel event-triggered feedback scheme is derived based on Linear Matrix Inequality (LMI) to reduce the unnecessary data exchange in communication topology. The proposed methodology is valid for the switching network until the existence of the spanning tree. Compare to the recent researches that concentrates on event-triggered heterogeneous MAS or heterogeneous MAS with switching topology, the propose approach deals with event-triggered heterogeneous MAS as a general linear MAS. The closed-loop stability of the compact form of the MAS, the convergence of the tracking error to zero, and the authentication of the planned technique for heterogeneous MAS based on switching topology are all the focal of the presented procedure. The simulation results demonstrate the effectiveness of the planned scheme.
    Keywords: Event-Triggered Scheme; Heterogeneous Agent; Switching Graph Topology; Leader-Follower Consensus.

  • Adaptive Particle Filter to reduce the pose estimation problem to achieve time-efficient navigation of UGV   Order a copy of this article
    by Himanshi Bhargav, Ravinder Singh 
    Abstract: The proposed research focuses on designing an adaptive filter based on the Particle Filter in which the number of particles has been optimized by considering the complexity factor of the environment and a mathematical relation for finding out the environment's complexity designed to achieve reliable pose estimation. The performance of traditional particle filters suffers from the time/ space complexity, resulting in the time lag problem during the autonomous navigation of vehicles. The proposed Adaptive filter is trial and tested in various simulated experiments and it is experimentally obtained that it reduces the computational load by 5.22% and the error in the predicted and actual measurement model is also reduced by 19.66% w.r.t to low complexity environment, 16.05% w.r.t medium complexity environment and 15.35% w.r.t high complexity environment. The proposed technique is applicable in the various subfield of unmanned ground vehicles such as path planning, trajectory tracking problems, autonomous navigation, etc.
    Keywords: Pose estimation; trajectory tracking; Adaptive filter; Autonomous navigation; path planning; particle filter; path optimization.

  • Nonlinear Dynamics Behavior and Its Control under Frequency-Varying Excitations for Energy Harvesting   Order a copy of this article
    by Mauricio Ribeiro, Jose M. Balthazar, Hilson H. Daum, Angelo M. Tusset 
    Abstract: This work presented a new approach to analysing the initial conditions of an energy harvesting system under the action of a non-ideal motor that was described in terms of its angular displacement. The analyses were based on the motor rotation frequency. However, for our analysis, we used the permutation entropy that determined the regions in which the initial conditions are more complex for the system for some values of the motor frequency. This result corroborated those found by the maximum Lyapunov exponent and the output power. We also analysed the dynamics of two initial conditions that meet in two regions, one with high entropy values and the other with low entropy values. And so, we observe the nonlinear dynamics behaviour (Bifurcation diagrams and maximum Lyapunov Exponent). With these analyses, we proposed an orbit with higher energy and application of an optimal linear feedback control design to stabilize the system in this orbit and optimize energy harvesting.
    Keywords: Dynamical Systems; Control OLFC; Energy Harvesting,.

  • Development of Event-Triggered Based Robust Control Scheme for Active Magnetic Bearing System   Order a copy of this article
    by Prince Kumar Saini, Bhanu Pratap, Punit Kumar 
    Abstract: This paper presents the development of a robust control scheme for the stabilization of the rotor shaft of an active magnetic bearing system (AMBS). The AMBS is a nonlinear unstable system with a high degree of uncertainty. The proposed control scheme has been developed using the event-triggering-based sliding mode approach. The event-triggering control (ETC) technique is one of the real-time control system strategies used to maintain the performance of closed-loop systems while taking into account the wide range of uncertainty. The sliding mode control (SMC) technique has been augmented with ETC for the robust performance of AMBS. The simulation study results demonstrate the proposed scheme's effectiveness for the rotor position control of AMBS. A comparative analysis of the AMBS performance using SMC and ETC-based SMC has been presented.
    Keywords: Active magnetic bearing system; event-triggering control; sliding mode control; uncertainty; unstable system.