This paper presents a new analysis and design method for model reference adaptive control(MRAC) with arbitrary bounded input nonlinearities. The adaptive algorithm ensures that th...
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Chen-Yuan Ch...
A biologically inspired control algorithm for robot control was introduced in a previous work. The algorithm is robust to noisy sensor information and hardware failures. In this pa...
Fabio Dalla Libera, Shuhei Ikemoto, Takashi Minato...
We study properties of solutions to fully nonlinear versions of the standard Black– Scholes partial differential equation. These equations have been introduced in financial mat...