Complex engineering systems are composed of a set of interconnected systems that their collective behaviors or properties are difficult to be predicted or managed. The context of complex engineering systems is concerned with developing multi-component engineering systems, designs, or algorithms to exploit those unpredictable collective behaviors or properties. Complexity in Engineering Systems is in general manifested in component, product, system, interconnections of interacting subsystems or multidisciplinary system designs. In a broad sense, complexity is related to the expected amount of information may need to describe a dynamical system.
The primary objective of this journal is to provide a high-level platform for researchers and practitioners to disseminate theoretical- or engineering-oriented research output achievements within the context of complex engineering systems that fosters knowledge sharing in different branches of engineering discipline. Complex Engineering Systems also publishes novel theoretical methods, AI and machine learning algorithms, simulations, experiments, and case studies as applications of state-of-the-art research in complex engineering systems. The topics of interest include, but are not limited to:
Complex systems theory
Complex control systems
Mathematical modeling and system identification
Nonlinear systems
Large-scale systems
Data-driven systems
Complex networks
Cyber-physical systems
Quantum dynamical systems
Digital twin technology
Sensors and actuators
Cyber security and attacks
Complex Industrial Processes
Optimization algorithms
Fault diagnosis and prognosis
Signal processing and estimation
IoT-based systems
Information fusion
Artificial intelligence and machine learning
Electrical, mechanical or hydraulic engineering systems
Mechatronics
Vehicle design & engineering
Smart grids and smart manufacturing
Intelligent transportation systems
Socio-technical systems
Robotics
Management systems & operations research
Multi-agent systems
Optimization and operations research
System identification and estimation
System modeling and control
Cyber-physical systems and robotics
AI and data science for complex systems
Systems biology