ISSN: 2581-4036 (online)

The International Journal on Recent Innovation in Instrumentation & Control Engineering has been conceptualized for effective dissemination and promulgation of original research in all fields of Instrumentation and Control Engineering. With a relentless pursuit of excellence, it aims at providing immaculate and superior research material, thus fostering the spirit of non-conformity, experimentation and de novo intellection among researchers in different parts of the world.

IJRIICE strives ardently to present inceptive, innovative and invaluable research developments, both application oriented and theoretical, in all possible domains of Instrumentation and Control Engineering to a broad audience of academic researchers and industry practitioners in all major faculties - research and development, management, strategic planning, purchasing, design & styling, marketing, human resources etc.

Ingeniousness and research impaction are the main parameters for evaluation of theoretical papers. Applications based on advanced theory and case studies aid in bridging the gap between theory and practice, and are particularly welcome.

General approaches, formalism's, algorithms or techniques should be complemented with lucid illustrations allowing easy comprehension and subsequent suitable applicability. Although the main emphasis of IJRIICE is on original research papers, theoretical and integrative review articles, book reviews, and high-quality position papers are also published to keep readers up-to-date on the latest ideas, designs, and developments in these allied fields. Special review articles will be granted consideration based on the stage of evolvement of their respective fields.

Although there is no restriction on the length of contributions, brevity will always be preferred. Brief articles will merit attention depending on their technical proficiency.

Discussions of previously published papers are also welcome.

Focus & Scope

The focus and scope of International Journal on Recent Innovation in Instrumentation & Control Engineering includes the following:

• Architectures and Algorithms for Control
• Adaptive and Robust Control
• Artificial Intelligence Techniques
• Automation
• Actuator and Sensor Design
• Control Applications
• Controller Tuning
• Computer-aided Systems Analysis and Design
• Control of Distributed-Parameter Systems
• Discrete Event and Hybrid Systems
• Diagnosis and Supervision
• Distributed Control System
• Feedforward Control and Trajectory Planning
• Fault Detection and Isolation
• Intelligent Components and Instruments
• Implementation of Automation Systems
• Industrial Control Systems
• Learning Control
• Machine Learning
• Modeling, Simulation and Experimental Model Validation
• Model-based Control Techniques
• Measurement Technology in Control
• Mechatronics
• Multi-Sensor Control Systems (cameras, IMUs, laser range finders, etc.)
• Motion Control
• Networked Control
• Nonlinear Control
• Optimal Control and Model Predictive Control
• Optimization
• Observer Design and State Estimation
• PID Control
• Process Control
• Production Planning and Scheduling
• Real-time and Distributed Computing
• Real-time Algorithms
• Soft Sensing
• Sensor Fusion
• System Identification and Parameter Estimation
• Stochastic Systems
• Software Engineering Techniques
• Supervisory Control (SCADA)
• Other Emerging Control Theories and Related Technologies
• Automatic & Process Control Systems Design
• Advances in Instrumentation Systems
• Biomedical Instrumentation and Applications
• Computational Electromagnetics and EMC
• Development of Intelligent Sensors
• Data Acquisition and Processing
• Embedded Ethernet
• Experimentation, Industrial Electronics & Applications
• Fundamentals of Instrumentation/ Control Components
• Industrial Networks, Communication Protocols
• Instrument Control
• Instrumentation Improvements
• Instrumentations Design Engineering
• Instrumentations Engineering Materials
• Instrumentations Machinery Engineering
• Instrumentations Measurements & Measuring Instruments
• Measurement Techniques
• Mechatronics, including Smart Sensors and MEMS
• Metrology, Measurement Theory
• Microprocessors and Microcontroller System Design
• Physical Property Measurements
• PLCs/ SCADA/ DCS/ Automation
• Signal Processing Techniques for Measurement
• Sensor-actuator Systems
• Signal Conditioning, Data Acquisition Systems, Telemetry
• Smart Transducers
• Standardization
• Recent Trends in Instrumentation Systems
• Recent Developments in Automation/ Control
• Remote Engineering
• Transducer Principles, Measurement Techniques
• Thermal Analysis
• The Evolution of Virtual Instrumentation
• Virtual instrumentation Techniques
• Virtual Instrumentation for Biomedical Engineering
• Virtual Instrument for Diagnosis