Flight control design using robust dynamic inversion and time-scale separation
Automatica (Journal of IFAC)
Centroid of a type-2 fuzzy set
Information Sciences: an International Journal
An Introduction to Genetic Algorithms for Scientists and Engineers
An Introduction to Genetic Algorithms for Scientists and Engineers
Modern Control Systems
Aircraft Dynamics and Automatic Control
Aircraft Dynamics and Automatic Control
Intelligent control of aircraft dynamic systems with a new hybrid neuro-fuzzy-fractal approach
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent information systems and applications
Practical Genetic Algorithms with CD-ROM
Practical Genetic Algorithms with CD-ROM
Information Sciences—Informatics and Computer Science: An International Journal
Combining fuzzy, PID and regulation control for an autonomous mini-helicopter
Information Sciences: an International Journal
Computers & Mathematics with Applications
Handbook of Granular Computing
Handbook of Granular Computing
Adaptive neuro-fuzzy inference system based autonomous flight control of unmanned air vehicles
Expert Systems with Applications: An International Journal
On the Continuity of Type-1 and Interval Type-2 Fuzzy Logic Systems
IEEE Transactions on Fuzzy Systems
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In this paper we present simulation results that we have at this moment with a new approach for intelligent control of non-linear dynamical plants. First we present the proposed approach for intelligent control using a hierarchical modular architecture with type-2 fuzzy logic used for combining the outputs of the modules. Then, the approach is illustrated with two cases: aircraft control and shower control and in each problem we explain its behavior. Simulation results of the two case show that proposed approach has potential in solving complex control problems.