Abstract
Formalization of a novel robust adaptive Sugeno based fuzzy sliding mode controller equipped with a supervisory controller is considered for the control of a class of nonlinear systems which significantly reduce computation via reducing the size of fuzzy rule base. Besides, all the system parameters such as control and state signals can be confined in a predefined bounded region by use of proposed control method. The proposed method does not need any information of the controlled plant and expertise
Keywords
Control theory (sociology)
Controller (irrigation)
Nonlinear system
Sliding mode control
Fuzzy logic
Fuzzy control system
Computer science
Computation
Class (philosophy)
Bounded function
Mode (computer interface)
Adaptive control
State (computer science)
Control engineering
Control (management)
Mathematics
Artificial intelligence
Engineering
Algorithm
Subject Areas
Adaptive Control of Nonlinear Systems
·Control and Systems Engineering ·Physical Sciences
Fuzzy Logic and Control Systems
·Artificial Intelligence ·Physical Sciences
Advanced Control Systems Design
·Control and Systems Engineering ·Physical Sciences
Citations by Year
2013: 1
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