Journal of Control & Instrumentation

Journal of Control & Instrumentation [2229-6972(e)] is a peer-reviewed hybrid open-access journal launched in 2010 focused on the publication of current research work carried out under controlling and instrumentation.

• Control Systems Engineering: Classical control, modern control, linear and nonlinear control, optimal control, robust control, adaptive control, stochastic control, predictive control, sliding-mode control, intelligent control, decentralized control, distributed control, and multivariable systems.
• Adaptive and Intelligent Control: Direct and indirect adaptive control, self-tuning regulators, gain scheduling, model-reference adaptive control, fuzzy control, neural control, reinforcement learning-based control, neuro-fuzzy systems, and AI-assisted control strategies.
• Industrial Automation: Process automation, factory automation, programmable logic controllers, SCADA systems, distributed control systems, supervisory control, automated production lines, industrial communication systems, and real-time automation.
• Instrumentation and Measurement: Electronic instrumentation, virtual instrumentation, measurement systems, data acquisition systems, calibration, measurement uncertainty, metrology, condition monitoring, diagnostic instrumentation, and smart measurement technologies.
• Sensors and Transducers: Temperature, pressure, force, displacement, proximity, vibration, optical, acoustic, chemical, biosensors, MEMS sensors, smart sensors, wireless sensor networks, sensor fusion, and sensor calibration.
• Signal Processing for Control and Instrumentation: Analog and digital signal processing, filtering, noise reduction, spectral analysis, signal estimation, feature extraction, sensor signal processing, biomedical signals, industrial signals, and real-time signal processing.
• Robotics and Autonomous Systems: Industrial robots, mobile robots, robotic manipulators, collaborative robots, autonomous vehicles, unmanned systems, robot control, path planning, localization, navigation, motion control, and multi-robot coordination.
• Artificial Intelligence in Control and Instrumentation: Machine learning, deep learning, expert systems, computer vision, predictive analytics, intelligent fault diagnosis, AI-based optimization, intelligent sensing, decision-support systems, and autonomous control.
• Internet of Things and Smart Instrumentation: IoT-enabled sensing, industrial IoT, edge computing, cloud-based monitoring, wireless instrumentation, remote monitoring, smart devices, connected automation, IoT-based control, and cyber-physical systems.
• Process Control and Industrial Systems: Chemical process control, thermal process control, fluid systems, batch process control, continuous process control, manufacturing process control, energy systems, power plants, and industrial process optimization.
• Advanced Manufacturing and Industry 4.0: Smart manufacturing, digital manufacturing, cyber-physical production systems, manufacturing execution systems, intelligent factories, industrial analytics, predictive maintenance, machine monitoring, digital twins, and Industry 4.0 technologies.
• Human–Machine Interfaces: HMI design, human-computer interaction, operator interfaces, touchscreen systems, augmented interfaces, gesture-based control, voice interfaces, human-robot interaction, ergonomic interfaces, and human-centered automation.
• Dynamic Systems and Simulation: Mathematical modelling, dynamic simulation, system identification, discrete-event simulation, process simulation, digital modelling, simulation-based optimization, virtual commissioning, and system-level modelling.
• Embedded and Real-Time Control Systems: Embedded controllers, microcontrollers, real-time operating systems, FPGA-based control, embedded instrumentation, embedded sensing, real-time monitoring, hardware-in-the-loop simulation, and edge control.
• Mechatronics and Electro-Mechanical Systems: Integrated mechanical-electrical control, actuators, servo systems, motion-control systems, precision positioning, electromechanical devices, smart actuators, and mechatronic system design.
• Control of Electrical and Energy Systems: Power-electronic control, renewable energy control, smart grids, microgrids, battery management systems, electric vehicle control, energy management systems, motor drives, and power-system automation.
• Fault Detection and Condition Monitoring: Fault diagnosis, anomaly detection, sensor fault detection, machinery health monitoring, predictive maintenance, prognostics, reliability analysis, and intelligent maintenance systems.
• Machine Vision and Vision-Based Control: Image processing, computer vision, machine vision, visual inspection, vision-based navigation, vision-guided robotics, industrial inspection, object detection, and real-time visual control.
• Optimization and Decision Systems: Optimization-based control, mathematical optimization, heuristic and metaheuristic methods, multi-objective optimization, operational optimization, decision support, scheduling, and resource allocation.
• Cyber-Physical and Networked Control Systems: Networked control, cyber-physical systems, distributed sensing, remote control, communication delays, network reliability, industrial cybersecurity, secure control, and resilient automation.
• Biomedical Instrumentation and Control: Medical instrumentation, physiological monitoring, wearable devices, rehabilitation systems, biosignal acquisition, assistive control systems, and healthcare automation.
• Smart Infrastructure and Automation Applications: Smart buildings, HVAC control, intelligent transportation, automated irrigation, smart agriculture, environmental monitoring, building automation, and infrastructure monitoring.
• Emerging Technologies in Control & Instrumentation: Digital twins, edge AI, autonomous industrial systems, intelligent sensing, quantum sensing, advanced robotics, collaborative automation, self-optimizing systems, and next-generation control technologies.