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
