Title :
High speed adaptive fuzzy control with quantized errors
Author :
Spooner, Jeffrey T.
Author_Institution :
Dept. of Control Subsyst., Sandia Nat. Labs., Albuquerque, NM, USA
Abstract :
A quantized error adaptive fuzzy control scheme is presented for a class of discrete-time nonlinear systems. A quantized error adaptive scheme may be used to improve the update algorithm execution time by reducing the number of required multiplications. It is proven that on average the tracking error will be confined to an ε-neighborhood of zero whose size is dependent upon the quantization function
Keywords :
adaptive control; closed loop systems; discrete time systems; fuzzy control; fuzzy set theory; nonlinear control systems; algorithm execution time; discrete-time nonlinear systems; quantized error adaptive fuzzy control scheme; tracking error; update algorithm; Adaptive control; Control systems; Error correction; Fuzzy control; Fuzzy sets; Fuzzy systems; Input variables; Laboratories; Nonlinear control systems; Programmable control;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.609543
