Nonlinear Analysis-Hybrid Systems

Scope & Guideline

Connecting Theory and Practice in Nonlinear Analysis

Introduction

Immerse yourself in the scholarly insights of Nonlinear Analysis-Hybrid Systems 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
ISSN1751-570x
PublisherELSEVIER SCI LTD
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2007 to 2025
AbbreviationNONLINEAR ANAL-HYBRI / Nonlinear Anal.-Hybrid Syst.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address125 London Wall, London EC2Y 5AS, ENGLAND

Aims and Scopes

The journal 'Nonlinear Analysis-Hybrid Systems' focuses on the exploration and development of theoretical and practical aspects of nonlinear systems, particularly those characterized by hybrid dynamics. It aims to provide a platform for researchers to disseminate their findings in areas that intersect nonlinear analysis and hybrid systems modeling.
  1. Nonlinear Control Theory:
    The journal emphasizes the development and application of nonlinear control strategies, including feedback control, adaptive control, and event-triggered control mechanisms.
  2. Hybrid Systems Modeling:
    Research on hybrid systems, which exhibit both continuous and discrete dynamics, is a key focus. This includes modeling techniques, stability analysis, and control design for such systems.
  3. Stochastic and Uncertain Systems:
    The journal includes papers addressing the behavior of nonlinear systems under uncertainty and stochastic influences, emphasizing probabilistic approaches and robust control methodologies.
  4. Multi-Agent and Networked Systems:
    There is a significant interest in the dynamics and control of multi-agent systems, particularly in the context of communication protocols, consensus algorithms, and decentralized control strategies.
  5. Applications in Engineering and Technology:
    The journal encourages submissions that apply theoretical findings to real-world problems in engineering, robotics, energy systems, and cyber-physical systems.
  6. Safety and Security in Control Systems:
    Research on the resilience of control systems against cyber threats, including denial-of-service attacks and fault tolerance, is increasingly prominent.
Recent publications indicate a shift towards innovative methodologies and emerging themes within the journal. These trends highlight the evolving landscape of research in nonlinear analysis and hybrid systems.
  1. Event-Triggered and Self-Triggered Control:
    There is an increasing trend in the development of event-triggered and self-triggered control strategies, reflecting a growing interest in reducing communication and computational costs in control systems.
  2. Adaptive and Learning-Based Control Techniques:
    Adaptive control methods that leverage learning algorithms, such as reinforcement learning, are gaining attention, indicating a shift towards more intelligent and flexible control systems.
  3. Cyber-Physical Systems and Network Security:
    Research focusing on the security and resilience of cyber-physical systems against cyber threats is emerging as a critical area, addressing the intersection of control systems and cybersecurity.
  4. Complex Network Dynamics:
    The study of complex networks, particularly in the context of synchronization and consensus among agents, is increasingly prominent, reflecting the importance of interconnected systems in modern applications.
  5. Stochastic and Hybrid Modeling Approaches:
    New methodologies that combine stochastic processes with hybrid system dynamics are gaining traction, emphasizing the need for robust modeling in uncertain environments.
  6. Robust Control under Uncertainty:
    There is a growing emphasis on robust control strategies that can handle uncertainties and disturbances, ensuring system performance in real-world applications.

Declining or Waning

Although certain themes continue to be relevant, some areas of research within the journal have shown a decline in focus over the recent years. These waning themes may reflect shifting priorities in the broader field of nonlinear analysis and hybrid systems.
  1. Basic Stability Analysis Techniques:
    While stability analysis remains crucial, the reliance on traditional methods without the incorporation of modern computational techniques or adaptive strategies appears to be decreasing.
  2. Linear Systems Approaches:
    There is a noticeable decline in papers focusing solely on linear systems, as the emphasis shifts towards exploring more complex nonlinear and hybrid dynamics.
  3. Static Modeling Approaches:
    Research centered on static models without consideration of dynamic interactions or time-varying parameters is becoming less prominent, as dynamic modeling gains traction.
  4. Single-Agent Control Systems:
    The focus on single-agent systems is diminishing in favor of multi-agent and networked systems, reflecting a broader trend towards collaborative and distributed control solutions.

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