JOURNAL OF GUIDANCE CONTROL AND DYNAMICS

Scope & Guideline

Pioneering Research in Dynamics and Guidance

Introduction

Immerse yourself in the scholarly insights of JOURNAL OF GUIDANCE CONTROL AND DYNAMICS with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0731-5090
PublisherAMER INST AERONAUTICS ASTRONAUTICS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1978 to 2024
AbbreviationJ GUID CONTROL DYNAM / J. Guid. Control Dyn.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1801 ALEXANDER BELL DRIVE, STE 500, RESTON, VA 22091-4344

Aims and Scopes

The JOURNAL OF GUIDANCE CONTROL AND DYNAMICS focuses on the advancement of guidance, navigation, and control systems in aerospace applications. It encompasses a wide range of methodologies and applications, including theoretical developments, practical implementations, and experimental validations in the field of dynamics and control of aerospace vehicles.
  1. Guidance and Navigation Systems:
    Research related to the design and optimization of guidance algorithms for various aerospace applications, including spacecraft trajectory planning, missile guidance, and UAV navigation.
  2. Control Systems Engineering:
    Development and implementation of control strategies for maintaining stability and performance in dynamic systems, particularly in aerospace contexts such as flight control systems and robotic spacecraft.
  3. Trajectory Optimization:
    Focus on methodologies for optimizing trajectories for spacecraft, aircraft, and other vehicles, considering constraints such as fuel efficiency, time, and safety.
  4. Dynamic Modeling and Simulation:
    Innovative techniques for modeling the dynamics of aerospace systems, including the effects of uncertainties and perturbations in various environments.
  5. Autonomous Systems and Robotics:
    Exploration of autonomous control systems for spacecraft and aerial vehicles, emphasizing machine learning and adaptive control strategies.
  6. Safety and Robustness in Control:
    Research aimed at ensuring the safety and reliability of control systems, particularly in the presence of uncertainties and disturbances.
  7. Collaborative and Cooperative Control:
    Studies on multi-agent systems and cooperative strategies for tasks such as formation flying and coordinated maneuvers among multiple vehicles.
The journal has seen a rise in interest in several emerging themes, reflecting the evolving landscape of aerospace research and technological advancements. These trends highlight the integration of modern techniques and interdisciplinary approaches.
  1. Machine Learning and AI in Control:
    The integration of machine learning and artificial intelligence in control systems design is on the rise, with applications ranging from adaptive flight control to predictive maintenance and anomaly detection.
  2. Autonomous Systems and Robotics:
    A growing focus on autonomous systems, including drones and robotic spacecraft, emphasizes the development of advanced algorithms for navigation and control in unstructured environments.
  3. Resilience and Robustness in Systems:
    Research on resilient control systems that can adapt to unexpected disturbances and maintain functionality is gaining momentum, reflecting a broader trend towards safety and reliability.
  4. Sustainable and Green Technologies:
    There is an increasing emphasis on sustainable aerospace technologies, including energy-efficient flight systems and environmentally friendly propulsion methods, driven by global sustainability goals.
  5. Collaborative Multi-Agent Systems:
    The study of collaborative and cooperative strategies among multiple autonomous agents, such as formation flying and swarm robotics, is becoming more prominent in the literature.
  6. Real-Time and Adaptive Control:
    Emerging methodologies for real-time adaptive control systems are gaining traction, enabling systems to adjust dynamically to changing conditions and requirements.

Declining or Waning

While the journal continues to thrive in several key areas, some themes have experienced a decline in frequency or prominence in recent publications. This may reflect shifts in research focus or the maturation of certain topics within the field.
  1. Traditional Control Methods:
    There has been a notable decline in the publication of papers focused on classical control techniques, such as PID controllers, as newer adaptive and learning-based methods gain traction.
  2. Basic Astrodynamics:
    Research centered on foundational astrodynamics concepts appears to be waning, possibly as more complex and practical applications are prioritized over theoretical explorations.
  3. Static System Analysis:
    The emphasis on static analysis methods, which do not account for dynamic changes in systems, has decreased as the field shifts towards more dynamic and real-time approaches.
  4. Non-Autonomous Systems:
    There is a diminishing focus on non-autonomous and manually controlled systems in favor of fully autonomous and intelligent systems that incorporate advanced technologies.
  5. Linear Control Theory:
    Interest in linear control theory is declining as researchers increasingly explore nonlinear control strategies that offer greater flexibility and robustness in real-world applications.

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