In this paper, adaptive neural network sliding-mode controller design approach with decoupled method is proposed. The decoupled method provides a simple way to achieve asymptotic ...
— In this paper we study the relationship between the parameter θ, used in the design of the MinMax controller, and the conditioning of the approximate algebraic Riccati equatio...
Lizette Zietsman, Katie A. Evans, J. Teye Brown, R...
In this paper we apply the robust redesign for transient performance recovery of nonlinear systems with input uncertainties developed in [2] to a spacecraft attitude tracking probl...
Aranya Chakrabortty, Murat Arcak, Panagiotis Tsiot...
Abstract— We consider dynamic output feedback practical stabilization of uniformly observable nonlinear systems, based on high-gain observers with saturation. We assume that unce...
Particle filters have been introduced as a powerful tool to estimate the posterior density of nonlinear systems. These filters are also capable of processing data online as requir...
Chong Chen, Dan Schonfeld, Junlan Yang, Magdi A. M...