Zobrazeno 1 - 10
of 227
pro vyhledávání: '"M.S. Fadali"'
Publikováno v:
International Journal of Electrical Power & Energy Systems. 110:400-410
This paper presents a new scheme for microgrid protection using the Time-Time (TT) transform. Initially, the bus currents are processed through the TT-transform to compute the TT-matrixes. To determine the fault patterns, an appropriate index based o
Publikováno v:
Electric Power Systems Research. 136:69-78
This paper exploits an electrical characteristic of distribution networks to cast the state estimation problem into a sparse vector recovery problem. In distribution networks, voltage differences between two buses of each line segment are much smalle
Publikováno v:
IEEE Transactions on Fuzzy Systems. 19:1001-1013
This paper proposes a new control system design methodology for type-1 and type-2 Takagi-Sugeno-Kang (TSK) fuzzy systems that are based on new stability conditions. The stability conditions are discussed in a companion paper (Part I) and are used in
Publikováno v:
IEEE Transactions on Fuzzy Systems. 19:989-1000
This paper introduces sufficient conditions for the exponential stability of type-1 and type-2 Takagi-Sugeno-Kang (TSK) fuzzy systems. A major advantage of the new conditions is that they do not require the existence of a common Lyapunov function and
Autor:
Hyun Cheol Cho, M.S. Fadali
Publikováno v:
IEEE Transactions on Control Systems Technology. 19:843-851
This paper presents a new control approach for nonlinear network-induced time delay systems by combining online reset control, neural networks, and dynamic Bayesian networks. We use feedback linearization to construct a nominal control for the system
Publikováno v:
IET Control Theory & Applications. 4:2733-2742
The authors present a robust adaptive control approach using model reference adaptive control (MRAC) for autonomous robot systems with random friction. First, a non-linear model of the robot system is approximated by feedback linearisation to derive
Publikováno v:
IEEE Transactions on Control Systems Technology. 18:430-437
Dynamic neural models provide an attractive means of fault detection and isolation in industrial process. One approach is to create a neural model to emulate normal system behavior and additional models to emulate various fault conditions. The neural
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Autor:
M.S. Fadali, A. Sonbol
Publikováno v:
IEEE Transactions on Fuzzy Systems. 14:640-653
We propose a new approach for the stability analysis of discrete Sugeno types II and III fuzzy systems. The approach does not require the existence of a common Lyapunov function. We introduce the concept of fuzzy positive definite and fuzzy negative
Autor:
M.S. Fadali
Publikováno v:
Computers & Electrical Engineering. 29:235-243
This paper presents observer-based robust fault detection for multirate sampled-data linear system. It is assumed that all plant inputs are updated with a unique sampling period and that the plant outputs are sampled uniformly at integer multiples of