
pmid: 38724584
pmc: PMC11582673
AbstractAccurate development of satellite maneuvers necessitates a broad orbital dynamical system and efficient nonlinear control techniques. For achieving the intended formation, a framework of a discrete fractional difference satellite model is constructed by the use of commensurate and non-commensurate orders for the control and synchronization of fractional-order chaotic satellite system. The efficacy of the suggested framework is evaluated employing a numerical simulation of the concerning dynamic systems of motion while taking into account multiple considerations such as Lyapunov exponent research, phase images and bifurcation schematics. With the aid of discrete nabla operators, we monitor the qualitative behavioural patterns of satellite systems in order to provide justification for the structure’s chaos. We acquire the fixed points of the proposed trajectory. At each fixed point, we calculate the eigenvalue of the satellite system’s Jacobian matrix and check for zones of instability. The outcomes exhibit a wide range of multifaceted behaviours resulting from the interaction with various fractional-orders in the offered system. Additionally, the sample entropy evaluation is employed in the research to determine complexities and endorse the existence of chaos. To maintain stability and synchronize the system, nonlinear controllers are additionally provided. The study highlights the technique’s vulnerability to fractional-order factors, resulting in exclusive, changing trends and equilibrium frameworks. Because of its diverse and convoluted behaviour, the satellite chaotic model is an intriguing and crucial subject for research.
Artificial intelligence, Chaotic Maps, Chaotic, Economics, Science, Astronomy, Fractional Order Systems, Synchronization, Article, Computer security, Synchronization (alternating current), CHAOS (operating system), Fractional difference equation, Order (exchange), Trustworthiness, Computer network, Chaos-based Image Encryption Techniques, Physics, Q, Fractional calculus, R, Chaos Synchronization and Control in Complex Systems, Statistical and Nonlinear Physics, Computer science, Dynamical Systems, Sample entropy, Chaotic attractors, Physics and Astronomy, Satellite, Channel (broadcasting), Physical Sciences, Computer Science, Medicine, Bifurcation, Characterization of Chaotic Quantum Dynamics and Structures, Computer Vision and Pattern Recognition, Satellite model, Adaptive Synchronization, Finance
Artificial intelligence, Chaotic Maps, Chaotic, Economics, Science, Astronomy, Fractional Order Systems, Synchronization, Article, Computer security, Synchronization (alternating current), CHAOS (operating system), Fractional difference equation, Order (exchange), Trustworthiness, Computer network, Chaos-based Image Encryption Techniques, Physics, Q, Fractional calculus, R, Chaos Synchronization and Control in Complex Systems, Statistical and Nonlinear Physics, Computer science, Dynamical Systems, Sample entropy, Chaotic attractors, Physics and Astronomy, Satellite, Channel (broadcasting), Physical Sciences, Computer Science, Medicine, Bifurcation, Characterization of Chaotic Quantum Dynamics and Structures, Computer Vision and Pattern Recognition, Satellite model, Adaptive Synchronization, Finance
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
