TY - GEN
T1 - Fuzzy model of control for quantum-controlled mobile robots
AU - Rybalov, Alexander
AU - Kagan, Eugene
AU - Manor, Yochai
AU - Ben-Gal, Irad
PY - 2010
Y1 - 2010
N2 - In this work we consider a navigation of quantum-controlled mobile robot by the use of fuzzy methods. A fuzzy model of the robot behavior is obtained by transformation of the robot's states (that appear in a form of qubits) into the pairs of membership functions. For a full description of the robot's turns, we define a reverse fuzzy Hadamard operator that completes the known Hannachi, Hatakeyama and Hirota model. The suggested transformations and methods were comparatively studied by field trials using small mobile robots and by numerical simulations that model the robot's behavior in the presence of noise.
AB - In this work we consider a navigation of quantum-controlled mobile robot by the use of fuzzy methods. A fuzzy model of the robot behavior is obtained by transformation of the robot's states (that appear in a form of qubits) into the pairs of membership functions. For a full description of the robot's turns, we define a reverse fuzzy Hadamard operator that completes the known Hannachi, Hatakeyama and Hirota model. The suggested transformations and methods were comparatively studied by field trials using small mobile robots and by numerical simulations that model the robot's behavior in the presence of noise.
KW - Fuzzy logic control
KW - Mobile robots navigation
KW - Quantum-controlled mobile robot
UR - http://www.scopus.com/inward/record.url?scp=78651250528&partnerID=8YFLogxK
U2 - 10.1109/EEEI.2010.5662220
DO - 10.1109/EEEI.2010.5662220
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AN - SCOPUS:78651250528
SN - 9781424486809
T3 - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
SP - 19
EP - 23
BT - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
T2 - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
Y2 - 17 November 2010 through 20 November 2010
ER -