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

  • Control Theory, Analysis and Design
  • System Modeling & Analysis
  • Instrumentation and Data Acquisition
  • Multi-sensor Data Fusion, Tracking and Control
  • Autonomous Control and Unmanned Systems
  • Guidance, Mission Control and Operations
  • System Identification and Linearization
  • Automotive Parameter Estimation and Control
  • Fault Diagnostics, Detection and Isolation
  • Fault-Tolerant Control
  • Simulation as an Engineering Design Tool
  • Distributed Simulation Technologies
  • Hardware in the Loop Simulation
  • Launch and Orbital Systems and Simulation
  • Artificial Intelligence Simulation Techniques and Applications
  • Applications of multispectral and hyperspectral imaging
  • Monte Carlo Simulation Techniques
  • Nonlinear Control for Aircraft Systems
  • Flight Formation and Control
  • Aero Engine Modeling and Control

Signal Processing

  • Image, Video and Multidimensional Signal Processing
  • Statistical Methods and Learning Algorithms
  • Remote Sensing
  • Pattern Recognition, Machine Learning and Big Data
  • Computer Vision and Graphics
  • Automatic Target Recognition & Tracking
  • Algorithmic Implementations on FPGA / ASIC / Embedded Systems
  • DSP related RTOS Issues
  • Quality Assurance in Signal Processing Systems
  • Medical Image Enhancement