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The following topics are dealt with: fuzzy information processing; applications in biology, health and medicine; applications in business and social science; fuzzy classification, clustering and segmentation; fuzzy control theory and applications; database and ontology; decision making; forecasting and prediction; fuzzy inference rules; fuzzy sets; fuzzy logic; fuzzy risk management; intelligent e-services...
Whether a rule-based fuzzy system has the ability to approximate any multivariate continuous function arbitrarily well is an important issue, especially for fuzzy control and fuzzy modeling. The answer to this issue concerning various Mamdani and Takagi-Sugeno (TS) fuzzy systems employing type-1 fuzzy sets is affirmative and well documented in the literature. As for type-2 (T2) fuzzy systems, the...
Vertical take off and landing aircrafts have been the subject of research for many years. The Boeing CV-22 Osprey is one such aircraft. Takeoff and landing phases of these aircrafts create very challenging control problems. Having two massive engines at the wingtips of the airplane creates an inherently unstable system. Added to this challenge is an inherent delay in pilot demand for engine thrust...
A methodology for construction of models using genuine expressions of natural language, namely the so called evaluative linguistic expressions is presented. A sophisticated formal theory of their meaning provides us a tool with a great application potential. These expressions occur also in conditional clauses of natural language which are gathered into linguistic descriptions, for example, of complex...
The growth in number of fuzzy logic applications led to the need of finding efficient ways to implement them. The advantage of using field programmable gate arrays (FPGA) is the ease with which controllers can be re-designed based on requirements without incurring major non recurring engineering (NRE) costs. In this paper, the implementation of a Mamdani fuzzy inference system has been demonstrated...
This paper presents an integrated fault diagnosis and fault-tolerant control methodology for a two-link planar nonlinear robotic systems. Based on the information obtained during a fault diagnostic procedure, a fault-tolerant control component is designed to compensate for the effect of faults using an adaptive learning structure in the form of Takagi-Sugeno fuzzy systems. First, a baseline controller...
We develop a PID based fuzzy logic pitch attitude hold system for a typical fighter jet under a variety of performance conditions that include approach, subsonic cruise and supersonic cruise. In this approach, the gains found in a classic PID controller are replaced with fuzzy systems, still contributing the overall effects of a proportional, integral, and derivative controller. The response is compared...
Designing controllers to reject disturbances, which cannot be accurately measured or estimated, is a challenging problem in real applications where the behaviour of the system is both non-linear and uncertain. Control schemes based on internal model control (IMC) can only be used to reject disturbances in non-linear systems if they do not affect the relationship between the controlled variable and...
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