TY - CHAP
T1 - State Limitation Through Supervised Control
AU - Mohammadzadeh, Ardashir
AU - Sabzalian, Mohammad Hosein
AU - Zhang, Chunwei
AU - Castillo, Oscar
AU - Sakthivel, Rathinasamy
AU - El-Sousy, Fayez F.M.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Sometimes, an adaptive fuzzy controller might not be fast enough. In this case, the system state variables may fall out of the favorable range. This problem can be solved by adding an adaptive gain. However, the adaptive gain cannot be very large. At the same time, increasing the adaptive gain will increase noise sensitivity and causes volatility in the controller output.
AB - Sometimes, an adaptive fuzzy controller might not be fast enough. In this case, the system state variables may fall out of the favorable range. This problem can be solved by adding an adaptive gain. However, the adaptive gain cannot be very large. At the same time, increasing the adaptive gain will increase noise sensitivity and causes volatility in the controller output.
UR - http://www.scopus.com/inward/record.url?scp=85141824717&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-17393-6_9
DO - 10.1007/978-3-031-17393-6_9
M3 - Chapter
AN - SCOPUS:85141824717
T3 - Studies in Fuzziness and Soft Computing
SP - 145
EP - 149
BT - Studies in Fuzziness and Soft Computing
PB - Springer Science and Business Media Deutschland GmbH
ER -