Title :
Compartmental Modeling and Neural Network Control of Stochastic Nonnegative Systems
Author :
Hayakawa, Tomohisa
Author_Institution :
Tokyo Inst. of Technol., Tokyo
Abstract :
A neuro adaptive control framework for stochastic nonnegative and compartmental dynamical systems is developed. In the face of stochastic variations of system coefficients, we present analysis and adaptive control methodology that guarantees global ultimate boundedness of the second moment of the nonlinear stochastic nonnegative systems.
Keywords :
adaptive control; neurocontrollers; nonlinear systems; stochastic processes; stochastic systems; compartmental dynamical system; compartmental modeling; neural network control; neuro adaptive control; nonlinear stochastic nonnegative system; Adaptive control; Cities and towns; Control system analysis; Control systems; Damping; Informatics; Mathematical model; Neural networks; Stochastic resonance; Stochastic systems;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282849