New Developments in Mathematical Control and Information for Fuzzy Systems
1Department of Computing and Mathematical Sciences, University of Glamorgan, Pontypridd, UK
New Developments in Mathematical Control and Information for Fuzzy Systems
Description
Intelligence techniques, such as fuzzy logic approaches, have long been applied to dynamical systems with many important theoretical solutions and successful applications.
The overall aim of this special issue is both to promote discussion among researchers actively working on applied fuzzy systems and to provide an up-to-date overview of the research directions and advance observer and controllers methods in the field. Of particular interest, the papers in this special issue are devoted to the development of mathematical methodologies analysis, control and observer problems of fuzzy systems, including nonlinear dynamics, fuzzy logic, and interdisciplinary topics with artificial intelligence. Potential topics include, but are not limited to:
- Fuzzy controller design (robust control, adaptive control, and supervisory control)
- Fuzzy observer design (adaptive observers, sliding mode observers, and unknown inputs observers)
- Cascaded fuzzy systems and observers
- Synchronization in fuzzy systems
- Stochastic fuzzy systems
- Robust fault detection and isolation, fault diagnosis, and fault-tolerant control of fuzzy systems
- Applications of fuzzy controllers and observers to complex systems (including hardware and software development environments for fuzzy systems)
- Fuzzy logics
- Fuzzy modeling and optimization
Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable: