Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Santiago Elvira-Ceja"'
Autor:
David I. Rodriguez, Carlos J. Vega, Guanrong Chen, Oscar J. Suarez, Santiago Elvira-Ceja, Edgar N. Sanchez
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 31:854-864
A new approach for trajectory tracking on uncertain complex networks is proposed. To achieve this goal, a neural controller is applied to a small fraction of nodes (pinned ones). Such controller is composed of an on-line identifier based on a recurre
Autor:
Carlos J. Vega, David Rodriguez-Castellanos, Santiago Elvira-Ceja, Edgar N. Sanchez, Oscar J. Suarez
Publikováno v:
Kybernetika. :1011-1032
Autor:
Santiago Elvira-Ceja, Edgar N. Sanchez
Publikováno v:
Optimal Control Applications and Methods. 39:1702-1715
Autor:
David I. Rodriguez, Jose Santiago Elvira-Ceja, Edgar N. Sanchez, Guanrong Chen, Oscar J. Suarez, Carlos J. Vega
Publikováno v:
Automatica. 112:108694
A novel approach for output synchronization for uncertain general complex networks with non-identical nodes is proposed. This goal can be solved applying to a small fraction of network nodes (pinned ones) a neural controller; this controller is compo
Publikováno v:
Signal Processing. 92:801-806
This paper designs the central finite-dimensional H"~ filter for linear stochastic systems with integral-quadratically bounded deterministic disturbances, that is suboptimal for a given threshold @c with respect to a modified Bolza-Meyer quadratic cr
Publikováno v:
International Journal of Systems Science. 42:821-827
This article designs the central finite-dimensional H∞ controller for linear stochastic time-varying systems with integral-quadratically bounded deterministic disturbances, that is suboptimal for a given threshold γ with respect to a modified Bolz
Autor:
Guanrong Chen, Edgar N. Sanchez, David Rodriguez-Castellanos, Carlos J. Vega, Oscar J. Suarez, Santiago Elvira-Ceja
Publikováno v:
IEEE Transactions on Automatic Control. :1-1
In this technical note, a novel approach to trajectory tracking control of a complex network is presented, based on the idea and technique of inverse optimal pinning control. A control law that stabilizes the tracking error dynamics is developed. Thi
Publikováno v:
ACC
In this paper, the inverse optimal control approach is applied to stabilization in probability of unknown linear networked control system (NCS) in presence of random delays and packet losses. The proposed control scheme is based on Kalman filter para
Autor:
Santiago Elvira-Ceja, Edgar N. Sanchez
Publikováno v:
CDC
In this paper, trajectory tracking for discrete-time stochastic nonlinear systems is achieved by an inverse optimal control. Additionally, the control scheme minimizes a cost functional, which is posteriori determined. Unlike the optimal control tech
Autor:
Santiago Elvira-Ceja, Edgar N. Sanchez
Publikováno v:
ACC
This paper presents an inverse optimal control approach for stabilization in probability of discrete-time stochastic nonlinear systems. With the proposed scheme, we avoid to solve the associated stochastic Hamilton-Jacobi-Bellman equation; additional