Automation and Control Systems (ACS)

Section Information

Automation and Control Systems focus on the theories, methodologies, and technologies used to design, analyze, and implement systems capable of autonomous or semi-autonomous operation. These systems rely on sensors, actuators, control algorithms, and computational models to regulate processes and ensure safety, reliability, and efficiency across industrial, scientific, and domestic applications.

Modern automation integrates classical and advanced control strategies with real-time monitoring, optimization, embedded systems, robotics, and intelligent algorithms. These components work together to maintain system stability, manage uncertainties, and achieve desired performance outcomes despite disturbances or changing operating conditions.

This section publishes research articles, reviews, and studies related to control theory, system identification, automation architectures, industrial control, cyber-physical systems, intelligent and adaptive control, real-time systems, robotics integration, and emerging technologies shaping automated and smart infrastructures.

Scope

Classical and Modern Control Theory
- PID, state-space, optimal, and robust control
- Nonlinear, stochastic, and adaptive control methods
- Feedback, feedforward, and hybrid control architectures
- Stability, controllability, and observability analysis
System Modeling and Identification
- Mathematical modeling of dynamic systems
- Parameter estimation and system identification techniques
- Data-driven and machine-learning-assisted modeling
- Simulation, validation, and performance evaluation
Industrial Automation and Process Control
- PLC, SCADA, DCS, and industrial communication systems
- Process monitoring, diagnostics, and optimization
- Batch, continuous, and hybrid process control strategies
- Fault detection, fault tolerance, and safety systems
Robotics and Mechatronic Systems
- Robot kinematics, dynamics, and motion control
- Sensing, actuation, and embedded automation
- Human–robot interaction and cooperative systems
- Autonomous navigation, mapping, and task execution
Cyber-Physical and Intelligent Systems
- Integration of computation, communication, and control
- Smart manufacturing and Industry 4.0 technologies
- AI-driven control, predictive control, and optimization
- Distributed, networked, and multi-agent control systems
Real-Time and Embedded Control
- Embedded processors, firmware, and real-time software
- Sensor fusion, real-time decision-making, and actuation
- Hardware–software co-design and implementation
- Timing constraints, reliability, and resource management
Automation Applications and Emerging Technologies
- Smart grids, renewable energy systems, and microgrids
- Automotive, aerospace, and transportation automation
- Home automation, medical devices, and service systems
- Digital twins, IoT automation, and autonomous systems