Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances

Hilal, Waleed; Gadsden, S. Andrew; Yawney, John

doi:10.1109/jproc.2023.3272577

Cited by 7 publications

(6 citation statements)

References 151 publications

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“…Though several examples have been provided for NCS applications, this area of smart systems is still relatively under-researched, particularly in the area of NCS applications for robotic systems, or for aerospace systems in general. Several reviews have been conducted on this topic, [94][95][96] highlighting potential applications across a variety of disciplines, such as internet of things (IoT) and smart grids. 97…”

Section: Cognitive Controlmentioning

confidence: 99%

“…Intelligence is difficult to characterize, but it can be evaluated based on the relative efficiency of a smart system considering its performance, and effective unification of the other cognitive processes. 94 The examined systems exhibit some degree of intelligence, though the utilization of more defined memory mechanisms and data-driven methods would increase this. The DSSs considered in this section apply communication for functionality, where its quality is improved with NCS methods.…”

Section: Advancements In Smart Ncs For Satellitesmentioning

confidence: 99%

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Networked control systems and their applications to smart satellites: a survey

McCafferty-Leroux,

Wu,

Gadsden

2024

Sensors and Systems for Space Applications XVII

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The advancement of Earth observation satellite research in past decades has demonstrated itself to be productive and increasingly important. Utilized for applications such as climate monitoring, communication, GPS, defense, and space research, our dependence on reliable satellite systems is ever-increasing. The success of satellites in these scenarios is fundamentally the result of its attitude determination system, consisting of control and estimation subsystems, which govern its sensors and actuators. For simple missions, attitude pose determination can be computed onboard the satellite. Typically, however, ground stations or other satellites (i.e. constellations) are involved in a satellite's operation, processing large amounts of data or complex control algorithms. This information and control cycle is enabled through the application of Networked Control Systems (NCS). The NCS uses a wireless network or communication system as the intermediate line of communication between plant, actuators, sensors, and other systems. This enables relatively fast communication and data transmittance over long distances, as well as the decentralization of navigation and control through system distribution. However, this method is vulnerable to various forms of time delay and packet loss, which ultimately affects the control performance of a satellite. It is demonstrated in literature that the effects of these NCS properties can be mitigated, increasing its viability, through various implementations of smart systems into the satellite framework. Using techniques such as neural networks and reinforcement learning, the satellite can perceive and act based on environmental information, while considering experiential memory and attention allocation. The following comprehensive survey discusses methods for improving the robustness of networked satellite systems from a smart systems perspective, providing an advanced foundation for these concepts.

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Section: Cognitive Controlmentioning

confidence: 99%

Section: Advancements In Smart Ncs For Satellitesmentioning

confidence: 99%

Networked control systems and their applications to smart satellites: a survey

McCafferty-Leroux,

Wu,

Gadsden

2024

Sensors and Systems for Space Applications XVII

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Section: Applicationsmentioning

confidence: 99%

“…Cognitive radio, for instance, addresses electromagnetic spectrum under utilization by dynamically adapting to available frequencies [10]. Similarly, cognitive radar improves remote sensing accuracy by modifying transmitted waveforms to avoid interference [10]. By applying the Point of Oblivion Theorem, we can better understand and mitigate the effects of information degradation in such systems.…”

Section: Applicationsmentioning

confidence: 99%

The Point of Oblivion Theorem

Datt

2024

Preprint

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This paper explores the concept of the Point of Oblivion Theorem within the context of computer science. The theorem posits that in certain computational systems, there exists a point beyond which the system’s ability to retain information about its initial state or previous iterations diminishes to a negligible level. This paper investigates the implications of this theorem for analyzing and designing algorithms that operate under iterative processes.

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“…white space) being underutilized by the primary user (PU) and avoid harmful interference to the normal communication of the PU. 4 The CR technology is embedded in UAVs which sense the environment for spectrum bands. By using spectrum sensing technology to detect the PU signal, UAVs are allowed to opportunistically access the PU's channel and not cause harmful interference to the normal communication of the PU, 5 but the single UAV's operation imposes various challenges on the spectrum sensing performance, 6 such as, the inherent factor of wireless propagations, that is, noise uncertainty, multipath fading, shadowing etc., may lead to an unreliable decision regarding the PU's status.…”

Section: Introduction 11 Backgroundmentioning

confidence: 99%

Bayesian detection with feedback for cooperative spectrum sensing in cognitive UAV networks

Wu,

Su,

Qiao

et al. 2024

Trans Emerging Tel Tech

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Unmanned aerial vehicles (UAVs) are becoming a popular research topic in applications that do not require human intervention. A variety of applications and devices coexist in the environment where UAVs operate, resulting in a serious spectrum shortage. Therefore, cognitive radio (CR) is a promising solution for opportunistic access to underutilized spectrum bands by the primary user (PU) through cooperative spectrum sensing (CSS) technique. However, the flexible location of UAVs makes CSS inefficient and even difficult to be implemented. In view of this, a cognitive UAV network model consisting of a pair of UAVs which follows a circular flight trajectory to participate in CSS is proposed in a spectrum sensing frame structure. According to the local energy detection, we further propose an optimization problem about the stopping time in a quickest detection paradigm and conduct out Bayesian detection method with feedback to minimize the sensing delay and the false alarm probability by optimizing the stopping time. Moreover, we theoretically derive the optimal threshold pair and prove the optimal stopping time by means of Markov process. At last, a series of numerical simulations are shown to corroborate the proposed Bayesian detection method with feedback, in terms of the false alarm probability, the sensing delay, and achievable throughput. In contrast to the classic Neyman‐Pearson and Bayesian detection methods, the advantage of Bayesian detection method with feedback sensing is presented.

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Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances

Abstract: This article reviews the current state of research literature published on cognitive dynamic systems and their applications.

Cited by 7 publications

References 151 publications

Networked control systems and their applications to smart satellites: a survey

Networked control systems and their applications to smart satellites: a survey

The Point of Oblivion Theorem

Bayesian detection with feedback for cooperative spectrum sensing in cognitive UAV networks

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