Result 1 to 20 of 64 total
Sliding mode control theory-based algorithm for online learning in type-2 fuzzy neural networks: application to velocity control of an electro hydraulic servo system. (English)
Int. J. Adapt. Control Signal Process. 26, No. 7, 645-659 (2012).
1
Comparative results on stabilization of the quad-rotor rotorcraft using bounded feedback controllers. (English)
J. Intell. Robot. Syst. 65, No. 1-4, 389-408 (2012).
2
Comparative results on stabilization of the quad-rotor rotorcraft using bounded feedback controllers (English)
Journal of Intelligent and Robotic Systems 65, No. 1-4, 389-408 (2012).
3
Fuzzy logic based approach to design of autonomous landing system for unmanned aerial vehicles. (English)
J. Intell. Robot. Syst. 61, No. 1-4, 239-250 (2011).
4
Neuro-fuzzy control of antilock braking system using sliding mode incremental learning algorithm. (English)
Neurocomputing 74, No. 11, 1883-1893 (2011).
5
An extended sliding mode learning algorithm for type-2 fuzzy neural networks. (English)
Bouchachia, Abdelhamid (ed.), Adaptive and intelligent systems. Second international conference, ICAIS 2011, Klagenfurt, Austria, September 6‒8, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23856-7/pbk). Lecture Notes in Computer Science 6943. Lecture Notes in Artificial Intelligence, 52-63 (2011).
6
Fuzzy logic based approach to design of autonomous landing system for unmanned aerial vehicles (English)
Journal of Intelligent and Robotic Systems 61, No. 1-4, 239-250 (2011).
7
Single-step ahead prediction based on the principle of concatenation using grey predictors (English)
Expert Syst. Appl. 38, No. 8, 9499-9505 (2011).
8
Direct model reference takagi-sugeno fuzzy control of SISO nonlinear systems (English)
IEEE T. Fuzzy Systems 19, No. 5, 914-924 (2011).
9
Analysis of the noise reduction property of type-2 fuzzy logic systems using a novel type-2 membership function (English)
IEEE Transactions on Systems, Man, and Cybernetics, Part B 41, No. 5, 1395-1406 (2011).
10
An extended sliding mode learning algorithm for type-2 fuzzy neural networks (English)
ICAIS, 52-63 (2011).
11
Grey system theory-based models in time series prediction. (English)
Expert Syst. Appl. 37, No. 2, 1784-1789 (2010).
12
Adaptive neuro-fuzzy inference system based autonomous flight control of unmanned air vehicles. (English)
Expert Syst. Appl. 37, No. 2, 1229-1234 (2010).
13
An efficient ant colony system based on receding horizon control for the aircraft arrival sequencing and scheduling problem (English)
IEEE Transactions on Intelligent Transportation Systems 11, No. 2, 399-412 (2010).
14
Grey system theory-based models in time series prediction (English)
Expert Syst. Appl. 37, No. 2, 1784-1789 (2010).
15
Adaptive neuro-fuzzy inference system based autonomous flight control of unmanned air vehicles (English)
Expert Syst. Appl. 37, No. 2, 1229-1234 (2010).
16
Identification of interval fuzzy models using recursive least square method (English)
SMC, 4362-4368 (2010).
17
Design of an adaptive interval type-2 fuzzy logic controller for the position control of a servo system with an intelligent sensor (English)
FUZZ-IEEE, 1-8 (2010).
18
Intelligent systems and its applications in robotics. (English)
Kim, Jong-Hwan (ed.) et al., Advances in robotics. FIRA Roboworld congress 2009, Incheon, Korea, August 16‒20, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-03982-9/pbk). Lecture Notes in Computer Science 5744, 1 (2009).
19
Fuzzy logic based approach to design of flight control and navigation tasks for autonomous unmanned aerial vehicles (English)
Journal of Intelligent and Robotic Systems 54, No. 1-3, 229-244 (2009).
20
Result 1 to 20 of 64 total
Start
Contact
Print
General Help
