Abstract
This course will have a large impact on a large audience as handling uncertainties will be a very important challenge to any real world application that operate in real world changing and dynamic environments. The course will present the theoretical aspects of type-2 FLCs and how to build a type-2 FLC. The course will also present many applications in different areas ranging from Control of Marine Diesel Engines, Autonomous Outdoor mobile Robots as well as Embedded Agents and Ambient Intelligent Environments which deals with how we can embed very efficient computational intelligence and type-2 techniques in small computing and memory platforms. The course will present a very clear description of type-2 Fuzzy Logic Controllers (FLCs), their design and their various application in handling the uncertainties in various real world applications. Different examples will be provided.

Educational Course Subject Areas
Artificial Intelligence ,  Computing ,  Instrumentation & Measurement ,  Robotics & Automation

Keywords
FLCs ,  Fuzzy Logic Controllers ,  FOU, Footprint Of Uncertainty ,  Neuro, Neural Networks based ,  Gas ,  Genetic Algorithms ,  Karnik-Mendel ,  AIE ,  Ambient Intelligent Environments ,  Co- Processor ,  DC ,  Direct Current ,  iDorm ,  Intelligent Dormitory