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Nonlinear Analysis: Hybrid Systems


Nonlinear Analysis: Hybrid Systems welcomes all important research and expository papers in any discipline. Papers that are principally concerned with the theory of hybrid systems should contain significant results indicating relevant applications. Papers that emphasize applications should consist of important real world models and illuminating techniques. Papers that interrelate various aspects of hybrid systems will be most welcome.

Journal Home:  Journal Homepage
Editor-in-Chief:  A. Giua

Modeling, modeling languages and specification; Analysis, computability and complexity; Stochastic systems; Impulsive systems; Verification; Abstraction; Optimization; Control synthesis and real-time control; Computation and control over networks; Neural or fuzzy approaches to hybrid systems; Synchronization of oscillators and chaotic systems; Fault diagnosis and dependability; Simulation, implementation and tools.

Print ISSN:

Print ISSN:  1751570X

Electronic ISSN:  

Abstracting and Indexing:  Scopus Science Citation Index Expanded
Imapct Factor 2020:  6.163
Subject Area and Category:  Computer Science,Computer Science Applications,Engineering,Control and Systems Engineering,Mathematics,Analysis
Publication Frequency:  
H Index:  56
Best Quartile:

Q1:  Control and Systems Engineering




Journal Home:  Journal Homepage
Cite Score:  9.9
SNIP:  1.863
Journal Rank(SJR):  1.658
Publisher & Country:

Publisher:  Elsevier BV

Country:  Netherlands