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RISPI Adaptive Fuzzy Control With Large and Fast Disturbance Rejection for a Class of Uncertain Nonlinear Systems
Design of controllers for uncertain systems is inherently
paradoxical. Adaptive control approaches claim to adapt
system parameters against uncertainties, but only if these uncertainties
change slowly ...
Adaptive Iterating learning sliding mode control for output tracking of incommensurate fractional-order systems
This paper develops a novel controller called adaptive iterative learning sliding mode
(AILSM) to control linear and nonlinear incommensurate fractional-order systems. By definition of
weighting parameter, ...
Knowledge-based indoor positioning based on LiDAR aided multiple sensors system for UGVs
Indirect Adaptive Interval Type-2 Fuzzy Pi Sliding Mode Control For A Class Of Uncertain Nonlinear Systems
Controller design remains an elusive and challenging problem for uncertain nonlinear dynamics. Interval type-2 fuzzy logic systems (IT2FLS) in comparison with type-1 fuzzy logic systems claim to effectively handle system ...
Robust adaptive sliding mode control combination with iterative learning technique to output tracking of fractional-order systems
This paper develops a novel controller called adaptive iterative learning sliding mode (AILSM) to control linear and nonlinear fractional-order systems.
This controller applies a hybrid structure of adaptive and ...