We study sensor minimization problems in the context of fault diagnosis. Fault diagnosis consists in synthesizing a diagnoser that observes a given plant and identifies faults in the plant as soon as possible after their occurrence. Existing literature on this problem has considered the case of fixed static observers, where the set of observable events is fixed and does not change during execut...

In this paper, an observer based fuzzy adaptive controller (FAC) is designed fora class of large scale systems with non-canonical non-affine nonlinear subsystems. It isassumed that functions of the subsystems and the interactions among subsystems areunknown. By constructing a new class of state observer for each follower, the proposedconsensus control method solves the problem of unmeasured sta...

Harmonic current estimation is required in active power filters for compensation purposes. The most efficient way of calculating the total harmonic up to infinite order subtract fundamental component from distorted current. Direct determination a mains frequency was realized recently with third-order modulation integral observer. This article shows that using an exponential function (Exp-MF) ob...

this paper presents a new observer-based control scheme for a class of nonlinear systems. in the proposed method, nonlinear observer and twisting algorithm controller are employed to realize a sensor-less control strategy for complex systems which makes use of non measurable process information instead of installing as many sensors as possible. due to lack of availability of the complex system ...

This paper presents a new observer based fuzzy terminal sliding mode controller design for a class of fractional order nonlinear systems. Robustness against uncertainty and disturbance, the stability of the close loop system and the convergence of both the tracking and observer errors to zero are the merits of the proposed the observer and the controller. The high gain observer is applied to es...

In this thesis, a fuzzy adaptive output feedback controllers and chain observers for a class of nonlinear delayed systems is proposed. The proposed approach do not need the availability of the state variables. The linearization approach is used to transform a nonlinear system into a linear system through Lie derivative method. We adopt an fuzzy adaptive chain observer in which no strictly posit...

We review recent progress in understanding certain aspects of the thermodynamics of black holes and other horizons. Our discussion centers on various “entropy bounds” which have been proposed in the literature and on the current understanding of how such bounds are not required for the semi-classical consistency of black hole thermodynamics. Instead, consistency under certain extreme circumstan...

We show that many ideal observer models used to decode neural activity can be generalized to a conceptually and analytically simple form. This enables us to study the statistical properties of this class of ideal observer models in a unified manner. We consider in detail the problem of estimating the performance of this class of models. We formulate the problem de novo by deriving two equivalen...

A solution to the problem of output feedback stabilization has been developed a few years ago, for nonlinear systems which enjoy some strong observability property known as uniform observability, by using high gain observers. Following our preliminary remarks of (Besançon and Hammouri, 2000), the present paper focuses on the same problem for systems which are not uniformly observable. More prec...

We consider an exponentially stable closed loop interconnection of a continuous linear plant and a continuous linear controller, and we study the problem of interconnecting the plant output to the controller input through a digital channel. We propose a family of “transmission-lazy” sensors whose goal is to transmit the measured plant output information as little as possible while preserving cl...