Nonlinear Control Systems / Nonlinear Systems / Prentice-Hall / Yamaha / B. Neural Networks / Ge / /
Country
Germany / /
Currency
USD / / /
Facility
National University of Singapore / Stable Adaptive Neural Network Control / /
Holiday
Assumption / /
IndustryTerm
adaptation law / uncertain systems / multilayer neural networks / affine systems / mathematical tools / Helicopter control applications / parameterized systems / actual control law / helicopter systems / neural networks / projection algorithm / feedforward networks / output feedback control law / mechanical systems / feedback control law / adaptive neural network / control law / nonaffine systems / /
Organization
National University of Singapore / Singapore / Department of Electrical and Computer Engineering / Department of Mechanical Engineering / /
Person
J. Prasad / Robert E. Krieger / N. Kim / N. Hovakimyan / A. Calise / F. Nardi / D. A. Schoenwald / Cybern / J. Corban / Sam Ge / /
Position
MNN controller / helicopter model / ” Proc / Associate Editor / NN controller / controller / adaptive NN controller / proposed controller / /
Product
Lyapunov / /
ProvinceOrState
Florida / /
Technology
Neural Network / 760 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY / previous projection algorithm / projection algorithm / CONTROL SYSTEMS TECHNOLOGY / From projection algorithm / 754 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY / simulation / 758 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY / 756 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY / Digital Object Identifier / 762 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY / /
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 16, NO. 4, JULYAdaptive Neural Network Control for Helicopters in Vertical Flight Keng Peng Tee, Member, IEEE, Shuzhi Sam Ge, Fellow, IEEE, and Francis E.