CONTROL & SIGNAL PROCESSING

Control engineering is the science of manipulating engineering systems for optimal performance in real-operating environments. Control engineers are concerned with mathematical modeling, computer simulation, control design and its implementation. The field is, therefore, multi-disciplinary and covers a range of technologies. Control systems are seen at work in small and simple household appliances, large-scale industrial plants such as steel rolling mills and refineries, very sophisticated and complex systems such as aircraft, nuclear reactors and satellites. Control system technology has thus driven the engineers to operate their systems at the peak of their performance without compromising system stability or integrity. Furthermore, new developments in simulation techniques have helped in the application of innovative control algorithms. The advent of high performance microprocessors has significantly increases the capability of control systems. Efficient digital controllers have alleviated the need for expensive instrumentation and costly components, contributing towards low cost quality products with enhanced performance.

The importance of Signal Processing in the engineering domain cannot be over emphasized. With new generation computer technology and configurable integrated circuits, powerful algorithms can be implemented in real time and used in various contemporary fields such as telecommunication, image, video and audio processing, sonars, biomedicine, seismology and computer vision.

In this conference, research papers are sought on the latest developments in control and signal processing theory and technologies. Papers of interest include those that describe theory, analytical techniques, applications, and technological developments. Topics to be covered in this activity include, but not limited to:

Control

• Nonlinear Dynamics and Control of Aerospace Systems
• Chaos and Bifurcation Theory Applications in Control Systems
• Optimization and Model Predictive Control
• Advances in Aircraft Control
• Guidance, Navigation and Control of Unmanned Autonomous Systems
• Cooperative guidance and control for Autonomous Multi-Agents’ Formation Flight
• Spacecraft Attitude Determination and Control
• Advanced Filtering Techniques
• Multi-Sensors Data Fusion
• Fault Diagnostics, Detection and Isolation
• Fault-Tolerant Control
• Artificial Intelligence Applications in areas like
  1. UAV mission planning
  2. Autonomous multi-agent formation flight
  3. Fault-tolerant control
  4. Multi-sensor data fusion
• Hardware in the Loop Simulations of Autonomous Systems
• Modeling and Control of Robots
• Modeling and Control of Aero Engines
• Modeling and Control Renewable Power Generation Systems
• Modeling and Control of Quantum Systems

Signal Processing

• Computer vision & graphics
• Statistical Methods and Learning Algorithms
• Remote sensing
• Big data and image /Audio / Text / Analytics
• Pattern recognition, bagging & boosting classifiers
• Image recognition and tracking
• Covid-19 and Medical imaging
• DSP related RTOS issues
• Multidimensional signal processing and speech recognition
• Sensor networks
• Hyperspectral and multispectral imaging
• Robotic perception
• 3D point cloud sensing & processing
• Video processing and compression
• Algorithmic implementation on FPGA/ASCI/Embedded Systems
• Quantum signal processing
• Signal processing for Big Data
• Statistical learning
• Applications of machine learning